2023/08/09 20:08:31 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.10 (default, Jun 4 2021, 15:09:15) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1919989182 GPU 0,1: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.11.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0+cu113 OpenCV: 4.8.0 MMEngine: 0.8.4 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: 1919989182 Distributed launcher: pytorch Distributed training: True GPU number: 2 ------------------------------------------------------------ 2023/08/09 20:08:32 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=256) backend_args = dict(backend='local') codec = dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='UDPHeatmap') custom_hooks = [ dict(type='SyncBuffersHook'), ] data_mode = 'topdown' data_root = '/root/autodl-tmp/data/fld/' dataset_type = 'DeepFashionDataset' default_hooks = dict( checkpoint=dict( interval=10, rule='greater', save_best='AUC', type='CheckpointHook'), logger=dict(interval=10, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(enable=False, type='PoseVisualizationHook')) default_scope = 'mmpose' env_cfg = dict( cudnn_benchmark=False, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) launcher = 'pytorch' load_from = None log_level = 'INFO' log_processor = dict( by_epoch=True, num_digits=6, type='LogProcessor', window_size=50) model = dict( backbone=dict( extra=dict( stage1=dict( block='BOTTLENECK', num_blocks=(4, ), num_branches=1, num_channels=(64, ), num_modules=1), stage2=dict( block='BASIC', num_blocks=( 4, 4, ), num_branches=2, num_channels=( 48, 96, ), num_modules=1), stage3=dict( block='BASIC', num_blocks=( 4, 4, 4, ), num_branches=3, num_channels=( 48, 96, 192, ), num_modules=4), stage4=dict( block='BASIC', num_blocks=( 4, 4, 4, 4, ), num_branches=4, num_channels=( 48, 96, 192, 384, ), num_modules=3)), in_channels=3, init_cfg=dict( checkpoint= 'https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth', type='Pretrained'), type='HRNet'), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], std=[ 58.395, 57.12, 57.375, ], type='PoseDataPreprocessor'), head=dict( decoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='MSRAHeatmap'), deconv_out_channels=None, in_channels=48, loss=dict(type='KeypointMSELoss', use_target_weight=True), out_channels=4, type='HeatmapHead'), test_cfg=dict(flip_mode='heatmap', flip_test=True, shift_heatmap=False), type='TopdownPoseEstimator') optim_wrapper = dict( loss_scale='dynamic', optimizer=dict(lr=0.0005, type='Adam'), type='AmpOptimWrapper') param_scheduler = [ dict( begin=0, by_epoch=False, end=500, start_factor=0.001, type='LinearLR'), dict( begin=0, by_epoch=True, end=210, gamma=0.1, milestones=[ 170, 200, ], type='MultiStepLR'), ] resume = False test_cfg = dict() test_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_lower_test.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ], subset='lower', test_mode=True, type='DeepFashionDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(round_up=False, shuffle=False, type='DefaultSampler')) test_evaluator = [ dict(thr=0.2, type='PCKAccuracy'), dict(type='AUC'), dict(type='EPE'), ] test_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ] train_cfg = dict(by_epoch=True, max_epochs=210, val_interval=10) train_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_lower_train.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(direction='horizontal', type='RandomFlip'), dict(type='RandomBBoxTransform'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict( encoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='MSRAHeatmap'), type='GenerateTarget'), dict(type='PackPoseInputs'), ], subset='lower', type='DeepFashionDataset'), num_workers=2, persistent_workers=True, sampler=dict(shuffle=True, type='DefaultSampler')) train_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(direction='horizontal', type='RandomFlip'), dict(type='RandomHalfBody'), dict(type='RandomBBoxTransform'), dict(input_size=( 192, 256, ), type='TopdownAffine', use_udp=True), dict( encoder=dict( heatmap_size=( 48, 64, ), input_size=( 192, 256, ), sigma=2, type='UDPHeatmap'), type='GenerateTarget'), dict(type='PackPoseInputs'), ] val_cfg = dict() val_dataloader = dict( batch_size=32, dataset=dict( ann_file='annotations/fld_lower_val.json', data_mode='topdown', data_prefix=dict(img='img/'), data_root='/root/autodl-tmp/data/fld/', pipeline=[ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine'), dict(type='PackPoseInputs'), ], subset='lower', test_mode=True, type='DeepFashionDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(round_up=False, shuffle=False, type='DefaultSampler')) val_evaluator = [ dict(thr=0.2, type='PCKAccuracy'), dict(type='AUC'), dict(type='EPE'), ] val_pipeline = [ dict(type='LoadImage'), dict(type='GetBBoxCenterScale'), dict(input_size=( 192, 256, ), type='TopdownAffine', use_udp=True), dict(type='PackPoseInputs'), ] vis_backends = [ dict(type='LocalVisBackend'), ] visualizer = dict( name='visualizer', type='PoseLocalVisualizer', vis_backends=[ dict(save_dir='/root/tf-logs', type='TensorboardVisBackend'), dict( init_kwargs=dict( name='td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192', project='mmpose-deepfashion'), type='WandbVisBackend'), ]) work_dir = './work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192' 2023/08/09 20:08:45 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) PoseVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) PoseVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/08/09 20:08:51 - mmengine - WARNING - The prefix is not set in metric class PCKAccuracy. 2023/08/09 20:08:51 - mmengine - WARNING - The prefix is not set in metric class AUC. 2023/08/09 20:08:51 - mmengine - WARNING - The prefix is not set in metric class EPE. 2023/08/09 20:08:52 - mmengine - INFO - load model from: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth 2023/08/09 20:08:52 - mmengine - INFO - Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth 2023/08/09 20:08:53 - mmengine - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: head.0.0.0.conv1.weight, head.0.0.0.bn1.weight, head.0.0.0.bn1.bias, head.0.0.0.bn1.running_mean, head.0.0.0.bn1.running_var, head.0.0.0.conv2.weight, head.0.0.0.bn2.weight, head.0.0.0.bn2.bias, head.0.0.0.bn2.running_mean, head.0.0.0.bn2.running_var, head.0.0.0.conv3.weight, head.0.0.0.bn3.weight, head.0.0.0.bn3.bias, head.0.0.0.bn3.running_mean, head.0.0.0.bn3.running_var, head.0.0.0.downsample.0.weight, head.0.0.0.downsample.1.weight, head.0.0.0.downsample.1.bias, head.0.0.0.downsample.1.running_mean, head.0.0.0.downsample.1.running_var, head.0.1.0.conv1.weight, head.0.1.0.bn1.weight, head.0.1.0.bn1.bias, head.0.1.0.bn1.running_mean, head.0.1.0.bn1.running_var, head.0.1.0.conv2.weight, head.0.1.0.bn2.weight, head.0.1.0.bn2.bias, head.0.1.0.bn2.running_mean, head.0.1.0.bn2.running_var, head.0.1.0.conv3.weight, head.0.1.0.bn3.weight, head.0.1.0.bn3.bias, head.0.1.0.bn3.running_mean, head.0.1.0.bn3.running_var, head.0.1.0.downsample.0.weight, head.0.1.0.downsample.1.weight, head.0.1.0.downsample.1.bias, head.0.1.0.downsample.1.running_mean, head.0.1.0.downsample.1.running_var, head.0.2.0.conv1.weight, head.0.2.0.bn1.weight, head.0.2.0.bn1.bias, head.0.2.0.bn1.running_mean, head.0.2.0.bn1.running_var, head.0.2.0.conv2.weight, head.0.2.0.bn2.weight, head.0.2.0.bn2.bias, head.0.2.0.bn2.running_mean, head.0.2.0.bn2.running_var, head.0.2.0.conv3.weight, head.0.2.0.bn3.weight, head.0.2.0.bn3.bias, head.0.2.0.bn3.running_mean, head.0.2.0.bn3.running_var, head.0.2.0.downsample.0.weight, head.0.2.0.downsample.1.weight, head.0.2.0.downsample.1.bias, head.0.2.0.downsample.1.running_mean, head.0.2.0.downsample.1.running_var, head.1.0.0.conv1.weight, head.1.0.0.bn1.weight, head.1.0.0.bn1.bias, head.1.0.0.bn1.running_mean, head.1.0.0.bn1.running_var, head.1.0.0.conv2.weight, head.1.0.0.bn2.weight, head.1.0.0.bn2.bias, head.1.0.0.bn2.running_mean, head.1.0.0.bn2.running_var, head.1.0.0.conv3.weight, head.1.0.0.bn3.weight, head.1.0.0.bn3.bias, head.1.0.0.bn3.running_mean, head.1.0.0.bn3.running_var, head.1.0.0.downsample.0.weight, head.1.0.0.downsample.1.weight, head.1.0.0.downsample.1.bias, head.1.0.0.downsample.1.running_mean, head.1.0.0.downsample.1.running_var, head.1.1.0.conv1.weight, head.1.1.0.bn1.weight, head.1.1.0.bn1.bias, head.1.1.0.bn1.running_mean, head.1.1.0.bn1.running_var, head.1.1.0.conv2.weight, head.1.1.0.bn2.weight, head.1.1.0.bn2.bias, head.1.1.0.bn2.running_mean, head.1.1.0.bn2.running_var, head.1.1.0.conv3.weight, head.1.1.0.bn3.weight, head.1.1.0.bn3.bias, head.1.1.0.bn3.running_mean, head.1.1.0.bn3.running_var, head.1.1.0.downsample.0.weight, head.1.1.0.downsample.1.weight, head.1.1.0.downsample.1.bias, head.1.1.0.downsample.1.running_mean, head.1.1.0.downsample.1.running_var, head.2.0.0.conv1.weight, head.2.0.0.bn1.weight, head.2.0.0.bn1.bias, head.2.0.0.bn1.running_mean, head.2.0.0.bn1.running_var, head.2.0.0.conv2.weight, head.2.0.0.bn2.weight, head.2.0.0.bn2.bias, head.2.0.0.bn2.running_mean, head.2.0.0.bn2.running_var, head.2.0.0.conv3.weight, head.2.0.0.bn3.weight, head.2.0.0.bn3.bias, head.2.0.0.bn3.running_mean, head.2.0.0.bn3.running_var, head.2.0.0.downsample.0.weight, head.2.0.0.downsample.1.weight, head.2.0.0.downsample.1.bias, head.2.0.0.downsample.1.running_mean, head.2.0.0.downsample.1.running_var, head.3.0.0.conv1.weight, head.3.0.0.bn1.weight, head.3.0.0.bn1.bias, head.3.0.0.bn1.running_mean, head.3.0.0.bn1.running_var, head.3.0.0.conv2.weight, head.3.0.0.bn2.weight, head.3.0.0.bn2.bias, head.3.0.0.bn2.running_mean, head.3.0.0.bn2.running_var, head.3.0.0.conv3.weight, head.3.0.0.bn3.weight, head.3.0.0.bn3.bias, head.3.0.0.bn3.running_mean, head.3.0.0.bn3.running_var, head.3.0.0.downsample.0.weight, head.3.0.0.downsample.1.weight, head.3.0.0.downsample.1.bias, head.3.0.0.downsample.1.running_mean, head.3.0.0.downsample.1.running_var, fc.weight, fc.bias, stage4.2.fuse_layers.1.0.0.0.weight, stage4.2.fuse_layers.1.0.0.1.weight, stage4.2.fuse_layers.1.0.0.1.bias, stage4.2.fuse_layers.1.0.0.1.running_mean, stage4.2.fuse_layers.1.0.0.1.running_var, stage4.2.fuse_layers.1.2.0.weight, stage4.2.fuse_layers.1.2.1.weight, stage4.2.fuse_layers.1.2.1.bias, stage4.2.fuse_layers.1.2.1.running_mean, stage4.2.fuse_layers.1.2.1.running_var, stage4.2.fuse_layers.1.3.0.weight, stage4.2.fuse_layers.1.3.1.weight, stage4.2.fuse_layers.1.3.1.bias, stage4.2.fuse_layers.1.3.1.running_mean, stage4.2.fuse_layers.1.3.1.running_var, stage4.2.fuse_layers.2.0.0.0.weight, stage4.2.fuse_layers.2.0.0.1.weight, stage4.2.fuse_layers.2.0.0.1.bias, stage4.2.fuse_layers.2.0.0.1.running_mean, stage4.2.fuse_layers.2.0.0.1.running_var, stage4.2.fuse_layers.2.0.1.0.weight, stage4.2.fuse_layers.2.0.1.1.weight, stage4.2.fuse_layers.2.0.1.1.bias, stage4.2.fuse_layers.2.0.1.1.running_mean, stage4.2.fuse_layers.2.0.1.1.running_var, stage4.2.fuse_layers.2.1.0.0.weight, stage4.2.fuse_layers.2.1.0.1.weight, stage4.2.fuse_layers.2.1.0.1.bias, stage4.2.fuse_layers.2.1.0.1.running_mean, stage4.2.fuse_layers.2.1.0.1.running_var, stage4.2.fuse_layers.2.3.0.weight, stage4.2.fuse_layers.2.3.1.weight, stage4.2.fuse_layers.2.3.1.bias, stage4.2.fuse_layers.2.3.1.running_mean, stage4.2.fuse_layers.2.3.1.running_var, stage4.2.fuse_layers.3.0.0.0.weight, stage4.2.fuse_layers.3.0.0.1.weight, stage4.2.fuse_layers.3.0.0.1.bias, stage4.2.fuse_layers.3.0.0.1.running_mean, stage4.2.fuse_layers.3.0.0.1.running_var, stage4.2.fuse_layers.3.0.1.0.weight, stage4.2.fuse_layers.3.0.1.1.weight, stage4.2.fuse_layers.3.0.1.1.bias, stage4.2.fuse_layers.3.0.1.1.running_mean, stage4.2.fuse_layers.3.0.1.1.running_var, stage4.2.fuse_layers.3.0.2.0.weight, stage4.2.fuse_layers.3.0.2.1.weight, stage4.2.fuse_layers.3.0.2.1.bias, stage4.2.fuse_layers.3.0.2.1.running_mean, stage4.2.fuse_layers.3.0.2.1.running_var, stage4.2.fuse_layers.3.1.0.0.weight, stage4.2.fuse_layers.3.1.0.1.weight, stage4.2.fuse_layers.3.1.0.1.bias, stage4.2.fuse_layers.3.1.0.1.running_mean, stage4.2.fuse_layers.3.1.0.1.running_var, stage4.2.fuse_layers.3.1.1.0.weight, stage4.2.fuse_layers.3.1.1.1.weight, stage4.2.fuse_layers.3.1.1.1.bias, stage4.2.fuse_layers.3.1.1.1.running_mean, stage4.2.fuse_layers.3.1.1.1.running_var, stage4.2.fuse_layers.3.2.0.0.weight, stage4.2.fuse_layers.3.2.0.1.weight, stage4.2.fuse_layers.3.2.0.1.bias, stage4.2.fuse_layers.3.2.0.1.running_mean, stage4.2.fuse_layers.3.2.0.1.running_var Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: 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from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage2.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition2.2.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: 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PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.0.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.1.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.2.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage3.3.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.transition3.3.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.branches.3.3.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.0.weight - torch.Size([96, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.1.3.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.0.weight - torch.Size([192, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.2.3.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.0.weight - torch.Size([384, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.0.2.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.0.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.0.weight - torch.Size([384, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.1.1.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.0.fuse_layers.3.2.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.0.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.branches.3.3.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.0.weight - torch.Size([96, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.0.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.0.weight - torch.Size([96, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.2.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.0.weight - torch.Size([96, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.1.3.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.0.weight - torch.Size([192, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.0.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.0.weight - torch.Size([192, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.1.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.0.weight - torch.Size([192, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.2.3.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.0.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.0.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.0.weight - torch.Size([384, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.0.2.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.0.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.0.weight - torch.Size([384, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.1.1.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.0.weight - torch.Size([384, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.1.fuse_layers.3.2.0.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.0.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.1.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.2.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.conv1.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.bn1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.bn1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.conv2.weight - torch.Size([48, 48, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.bn2.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.0.3.bn2.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.0.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.1.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.2.bn2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.conv1.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.conv2.weight - torch.Size([96, 96, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn2.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.1.3.bn2.bias - torch.Size([96]): PretrainedInit: 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torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.1.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.2.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.conv1.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.conv2.weight - torch.Size([192, 192, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn2.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.2.3.bn2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.0.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.1.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.2.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.conv1.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn1.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.conv2.weight - torch.Size([384, 384, 3, 3]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn2.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.branches.3.3.bn2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.1.0.weight - torch.Size([48, 96, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.1.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.1.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.0.weight - torch.Size([48, 192, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.2.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.0.weight - torch.Size([48, 384, 1, 1]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.1.weight - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth backbone.stage4.2.fuse_layers.0.3.1.bias - torch.Size([48]): PretrainedInit: load from https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth head.final_layer.weight - torch.Size([4, 48, 1, 1]): NormalInit: mean=0, std=0.001, bias=0 head.final_layer.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 2023/08/09 20:08:53 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/08/09 20:08:53 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/08/09 20:08:53 - mmengine - INFO - Checkpoints will be saved to /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192. 2023/08/09 20:08:58 - mmengine - INFO - Epoch(train) [1][ 10/327] lr: 9.509018e-06 eta: 9:32:40 time: 0.500443 data_time: 0.112893 memory: 4564 loss: 0.003370 loss_kpt: 0.003370 acc_pose: 0.049462 2023/08/09 20:09:02 - mmengine - INFO - Epoch(train) [1][ 20/327] lr: 1.951904e-05 eta: 8:08:02 time: 0.426555 data_time: 0.073865 memory: 4563 loss: 0.003365 loss_kpt: 0.003365 acc_pose: 0.075370 2023/08/09 20:09:05 - mmengine - INFO - Epoch(train) [1][ 30/327] lr: 2.952906e-05 eta: 7:38:27 time: 0.400748 data_time: 0.059433 memory: 4563 loss: 0.003270 loss_kpt: 0.003270 acc_pose: 0.103815 2023/08/09 20:09:09 - mmengine - INFO - Epoch(train) [1][ 40/327] lr: 3.953908e-05 eta: 7:22:29 time: 0.386852 data_time: 0.052659 memory: 4563 loss: 0.003229 loss_kpt: 0.003229 acc_pose: 0.131044 2023/08/09 20:09:12 - mmengine - INFO - Epoch(train) [1][ 50/327] lr: 4.954910e-05 eta: 7:12:30 time: 0.378172 data_time: 0.048821 memory: 4563 loss: 0.003151 loss_kpt: 0.003151 acc_pose: 0.379400 2023/08/09 20:09:16 - mmengine - INFO - Epoch(train) [1][ 60/327] lr: 5.955912e-05 eta: 7:09:04 time: 0.350187 data_time: 0.032641 memory: 4563 loss: 0.003017 loss_kpt: 0.003017 acc_pose: 0.425597 2023/08/09 20:09:19 - mmengine - INFO - Epoch(train) [1][ 70/327] lr: 6.956914e-05 eta: 7:08:14 time: 0.353762 data_time: 0.032205 memory: 4563 loss: 0.002829 loss_kpt: 0.002829 acc_pose: 0.546446 2023/08/09 20:09:23 - mmengine - INFO - Epoch(train) [1][ 80/327] lr: 7.957916e-05 eta: 7:09:21 time: 0.360488 data_time: 0.032384 memory: 4563 loss: 0.002645 loss_kpt: 0.002645 acc_pose: 0.611905 2023/08/09 20:09:27 - mmengine - INFO - Epoch(train) [1][ 90/327] lr: 8.958918e-05 eta: 7:09:18 time: 0.366593 data_time: 0.032452 memory: 4563 loss: 0.002389 loss_kpt: 0.002389 acc_pose: 0.585504 2023/08/09 20:09:30 - mmengine - INFO - Epoch(train) [1][100/327] lr: 9.959920e-05 eta: 7:06:02 time: 0.367414 data_time: 0.031797 memory: 4563 loss: 0.002173 loss_kpt: 0.002173 acc_pose: 0.622479 2023/08/09 20:09:34 - mmengine - INFO - Epoch(train) [1][110/327] lr: 1.096092e-04 eta: 7:02:57 time: 0.364043 data_time: 0.031411 memory: 4563 loss: 0.001988 loss_kpt: 0.001988 acc_pose: 0.595934 2023/08/09 20:09:37 - mmengine - INFO - Epoch(train) [1][120/327] lr: 1.196192e-04 eta: 7:00:28 time: 0.358895 data_time: 0.030940 memory: 4563 loss: 0.001873 loss_kpt: 0.001873 acc_pose: 0.562832 2023/08/09 20:09:41 - mmengine - INFO - Epoch(train) [1][130/327] lr: 1.296293e-04 eta: 6:59:20 time: 0.353504 data_time: 0.030781 memory: 4563 loss: 0.001775 loss_kpt: 0.001775 acc_pose: 0.646056 2023/08/09 20:09:44 - mmengine - INFO - Epoch(train) [1][140/327] lr: 1.396393e-04 eta: 6:57:23 time: 0.347168 data_time: 0.030692 memory: 4563 loss: 0.001748 loss_kpt: 0.001748 acc_pose: 0.670460 2023/08/09 20:09:48 - mmengine - INFO - Epoch(train) [1][150/327] lr: 1.496493e-04 eta: 6:56:26 time: 0.348384 data_time: 0.030758 memory: 4563 loss: 0.001710 loss_kpt: 0.001710 acc_pose: 0.632531 2023/08/09 20:09:52 - mmengine - INFO - Epoch(train) [1][160/327] lr: 1.596593e-04 eta: 6:58:01 time: 0.357185 data_time: 0.035471 memory: 4563 loss: 0.001685 loss_kpt: 0.001685 acc_pose: 0.653448 2023/08/09 20:09:55 - mmengine - INFO - Epoch(train) [1][170/327] lr: 1.696693e-04 eta: 6:56:34 time: 0.357317 data_time: 0.035633 memory: 4563 loss: 0.001655 loss_kpt: 0.001655 acc_pose: 0.723420 2023/08/09 20:09:59 - mmengine - INFO - Epoch(train) [1][180/327] lr: 1.796794e-04 eta: 6:54:56 time: 0.354180 data_time: 0.036194 memory: 4563 loss: 0.001640 loss_kpt: 0.001640 acc_pose: 0.625372 2023/08/09 20:10:02 - mmengine - INFO - Epoch(train) [1][190/327] lr: 1.896894e-04 eta: 6:53:32 time: 0.353597 data_time: 0.036658 memory: 4563 loss: 0.001641 loss_kpt: 0.001641 acc_pose: 0.603161 2023/08/09 20:10:05 - mmengine - INFO - Epoch(train) [1][200/327] lr: 1.996994e-04 eta: 6:52:30 time: 0.351927 data_time: 0.037243 memory: 4563 loss: 0.001654 loss_kpt: 0.001654 acc_pose: 0.634035 2023/08/09 20:10:09 - mmengine - INFO - Epoch(train) [1][210/327] lr: 2.097094e-04 eta: 6:52:14 time: 0.345935 data_time: 0.032600 memory: 4563 loss: 0.001624 loss_kpt: 0.001624 acc_pose: 0.633506 2023/08/09 20:10:13 - mmengine - INFO - Epoch(train) [1][220/327] lr: 2.197194e-04 eta: 6:51:44 time: 0.347425 data_time: 0.032760 memory: 4563 loss: 0.001588 loss_kpt: 0.001588 acc_pose: 0.728633 2023/08/09 20:10:16 - mmengine - INFO - Epoch(train) [1][230/327] lr: 2.297295e-04 eta: 6:51:11 time: 0.349600 data_time: 0.032388 memory: 4563 loss: 0.001609 loss_kpt: 0.001609 acc_pose: 0.599057 2023/08/09 20:10:19 - mmengine - INFO - Epoch(train) [1][240/327] lr: 2.397395e-04 eta: 6:50:17 time: 0.349968 data_time: 0.031573 memory: 4563 loss: 0.001583 loss_kpt: 0.001583 acc_pose: 0.715104 2023/08/09 20:10:23 - mmengine - INFO - Epoch(train) [1][250/327] lr: 2.497495e-04 eta: 6:49:35 time: 0.350038 data_time: 0.031468 memory: 4563 loss: 0.001561 loss_kpt: 0.001561 acc_pose: 0.763818 2023/08/09 20:10:26 - mmengine - INFO - Epoch(train) [1][260/327] lr: 2.597595e-04 eta: 6:49:00 time: 0.347941 data_time: 0.031975 memory: 4563 loss: 0.001581 loss_kpt: 0.001581 acc_pose: 0.665995 2023/08/09 20:10:30 - mmengine - INFO - Epoch(train) [1][270/327] lr: 2.697695e-04 eta: 6:48:31 time: 0.347109 data_time: 0.031887 memory: 4563 loss: 0.001577 loss_kpt: 0.001577 acc_pose: 0.689516 2023/08/09 20:10:33 - mmengine - INFO - Epoch(train) [1][280/327] lr: 2.797796e-04 eta: 6:48:03 time: 0.346568 data_time: 0.031872 memory: 4563 loss: 0.001558 loss_kpt: 0.001558 acc_pose: 0.622173 2023/08/09 20:10:37 - mmengine - INFO - Epoch(train) [1][290/327] lr: 2.897896e-04 eta: 6:47:39 time: 0.347890 data_time: 0.032097 memory: 4563 loss: 0.001543 loss_kpt: 0.001543 acc_pose: 0.763557 2023/08/09 20:10:40 - mmengine - INFO - Epoch(train) [1][300/327] lr: 2.997996e-04 eta: 6:47:26 time: 0.349467 data_time: 0.032218 memory: 4563 loss: 0.001554 loss_kpt: 0.001554 acc_pose: 0.693011 2023/08/09 20:10:44 - mmengine - INFO - Epoch(train) [1][310/327] lr: 3.098096e-04 eta: 6:46:51 time: 0.348671 data_time: 0.032205 memory: 4563 loss: 0.001553 loss_kpt: 0.001553 acc_pose: 0.644923 2023/08/09 20:10:47 - mmengine - INFO - Epoch(train) [1][320/327] lr: 3.198196e-04 eta: 6:46:18 time: 0.347586 data_time: 0.032225 memory: 4563 loss: 0.001560 loss_kpt: 0.001560 acc_pose: 0.689924 2023/08/09 20:10:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:10:54 - mmengine - INFO - Epoch(train) [2][ 10/327] lr: 3.368367e-04 eta: 6:47:26 time: 0.356858 data_time: 0.042918 memory: 4563 loss: 0.001559 loss_kpt: 0.001559 acc_pose: 0.703269 2023/08/09 20:10:57 - mmengine - INFO - Epoch(train) [2][ 20/327] lr: 3.468467e-04 eta: 6:47:30 time: 0.359449 data_time: 0.045987 memory: 4563 loss: 0.001513 loss_kpt: 0.001513 acc_pose: 0.747755 2023/08/09 20:11:01 - mmengine - INFO - Epoch(train) [2][ 30/327] lr: 3.568567e-04 eta: 6:46:58 time: 0.358552 data_time: 0.045738 memory: 4563 loss: 0.001511 loss_kpt: 0.001511 acc_pose: 0.680617 2023/08/09 20:11:04 - mmengine - INFO - Epoch(train) [2][ 40/327] lr: 3.668667e-04 eta: 6:46:19 time: 0.357428 data_time: 0.045462 memory: 4563 loss: 0.001526 loss_kpt: 0.001526 acc_pose: 0.673228 2023/08/09 20:11:08 - mmengine - INFO - Epoch(train) [2][ 50/327] lr: 3.768768e-04 eta: 6:45:48 time: 0.357643 data_time: 0.045738 memory: 4563 loss: 0.001505 loss_kpt: 0.001505 acc_pose: 0.594054 2023/08/09 20:11:11 - mmengine - INFO - Epoch(train) [2][ 60/327] lr: 3.868868e-04 eta: 6:45:06 time: 0.343955 data_time: 0.035217 memory: 4563 loss: 0.001511 loss_kpt: 0.001511 acc_pose: 0.635530 2023/08/09 20:11:14 - mmengine - INFO - Epoch(train) [2][ 70/327] lr: 3.968968e-04 eta: 6:44:27 time: 0.338712 data_time: 0.032541 memory: 4563 loss: 0.001538 loss_kpt: 0.001538 acc_pose: 0.742652 2023/08/09 20:11:18 - mmengine - INFO - Epoch(train) [2][ 80/327] lr: 4.069068e-04 eta: 6:43:50 time: 0.337187 data_time: 0.032860 memory: 4563 loss: 0.001549 loss_kpt: 0.001549 acc_pose: 0.755317 2023/08/09 20:11:21 - mmengine - INFO - Epoch(train) [2][ 90/327] lr: 4.169168e-04 eta: 6:43:32 time: 0.338738 data_time: 0.033592 memory: 4563 loss: 0.001545 loss_kpt: 0.001545 acc_pose: 0.673707 2023/08/09 20:11:25 - mmengine - INFO - Epoch(train) [2][100/327] lr: 4.269269e-04 eta: 6:43:08 time: 0.338735 data_time: 0.033723 memory: 4563 loss: 0.001546 loss_kpt: 0.001546 acc_pose: 0.711775 2023/08/09 20:11:28 - mmengine - INFO - Epoch(train) [2][110/327] lr: 4.369369e-04 eta: 6:43:16 time: 0.344192 data_time: 0.033868 memory: 4563 loss: 0.001564 loss_kpt: 0.001564 acc_pose: 0.607333 2023/08/09 20:11:32 - mmengine - INFO - Epoch(train) [2][120/327] lr: 4.469469e-04 eta: 6:42:59 time: 0.346255 data_time: 0.033782 memory: 4563 loss: 0.001568 loss_kpt: 0.001568 acc_pose: 0.816231 2023/08/09 20:11:35 - mmengine - INFO - Epoch(train) [2][130/327] lr: 4.569569e-04 eta: 6:43:38 time: 0.355680 data_time: 0.033071 memory: 4563 loss: 0.001526 loss_kpt: 0.001526 acc_pose: 0.744271 2023/08/09 20:11:39 - mmengine - INFO - Epoch(train) [2][140/327] lr: 4.669669e-04 eta: 6:43:56 time: 0.360473 data_time: 0.032300 memory: 4563 loss: 0.001527 loss_kpt: 0.001527 acc_pose: 0.765517 2023/08/09 20:11:42 - mmengine - INFO - Epoch(train) [2][150/327] lr: 4.769770e-04 eta: 6:43:24 time: 0.359088 data_time: 0.032056 memory: 4563 loss: 0.001547 loss_kpt: 0.001547 acc_pose: 0.630231 2023/08/09 20:11:46 - mmengine - INFO - Epoch(train) [2][160/327] lr: 4.869870e-04 eta: 6:43:07 time: 0.355800 data_time: 0.032381 memory: 4563 loss: 0.001521 loss_kpt: 0.001521 acc_pose: 0.800990 2023/08/09 20:11:50 - mmengine - INFO - Epoch(train) [2][170/327] lr: 4.969970e-04 eta: 6:43:39 time: 0.362784 data_time: 0.035488 memory: 4563 loss: 0.001521 loss_kpt: 0.001521 acc_pose: 0.658726 2023/08/09 20:11:53 - mmengine - INFO - Epoch(train) [2][180/327] lr: 5.000000e-04 eta: 6:43:38 time: 0.357786 data_time: 0.036025 memory: 4563 loss: 0.001547 loss_kpt: 0.001547 acc_pose: 0.696925 2023/08/09 20:11:57 - mmengine - INFO - Epoch(train) [2][190/327] lr: 5.000000e-04 eta: 6:43:38 time: 0.355268 data_time: 0.035910 memory: 4563 loss: 0.001541 loss_kpt: 0.001541 acc_pose: 0.739464 2023/08/09 20:12:00 - mmengine - INFO - Epoch(train) [2][200/327] lr: 5.000000e-04 eta: 6:43:31 time: 0.358836 data_time: 0.035979 memory: 4563 loss: 0.001503 loss_kpt: 0.001503 acc_pose: 0.680400 2023/08/09 20:12:04 - mmengine - INFO - Epoch(train) [2][210/327] lr: 5.000000e-04 eta: 6:43:24 time: 0.360278 data_time: 0.034790 memory: 4563 loss: 0.001509 loss_kpt: 0.001509 acc_pose: 0.802626 2023/08/09 20:12:07 - mmengine - INFO - Epoch(train) [2][220/327] lr: 5.000000e-04 eta: 6:43:16 time: 0.354467 data_time: 0.031174 memory: 4563 loss: 0.001507 loss_kpt: 0.001507 acc_pose: 0.688883 2023/08/09 20:12:11 - mmengine - INFO - Epoch(train) [2][230/327] lr: 5.000000e-04 eta: 6:43:03 time: 0.352422 data_time: 0.030837 memory: 4563 loss: 0.001495 loss_kpt: 0.001495 acc_pose: 0.621552 2023/08/09 20:12:14 - mmengine - INFO - Epoch(train) [2][240/327] lr: 5.000000e-04 eta: 6:42:49 time: 0.350186 data_time: 0.031175 memory: 4563 loss: 0.001506 loss_kpt: 0.001506 acc_pose: 0.678039 2023/08/09 20:12:18 - mmengine - INFO - Epoch(train) [2][250/327] lr: 5.000000e-04 eta: 6:42:42 time: 0.349974 data_time: 0.031446 memory: 4563 loss: 0.001510 loss_kpt: 0.001510 acc_pose: 0.716500 2023/08/09 20:12:22 - mmengine - INFO - Epoch(train) [2][260/327] lr: 5.000000e-04 eta: 6:43:16 time: 0.356831 data_time: 0.031830 memory: 4563 loss: 0.001514 loss_kpt: 0.001514 acc_pose: 0.635470 2023/08/09 20:12:26 - mmengine - INFO - Epoch(train) [2][270/327] lr: 5.000000e-04 eta: 6:43:40 time: 0.362459 data_time: 0.031820 memory: 4563 loss: 0.001507 loss_kpt: 0.001507 acc_pose: 0.811559 2023/08/09 20:12:29 - mmengine - INFO - Epoch(train) [2][280/327] lr: 5.000000e-04 eta: 6:44:04 time: 0.369150 data_time: 0.031922 memory: 4563 loss: 0.001522 loss_kpt: 0.001522 acc_pose: 0.683333 2023/08/09 20:12:33 - mmengine - INFO - Epoch(train) [2][290/327] lr: 5.000000e-04 eta: 6:43:59 time: 0.370705 data_time: 0.031853 memory: 4563 loss: 0.001501 loss_kpt: 0.001501 acc_pose: 0.687903 2023/08/09 20:12:36 - mmengine - INFO - Epoch(train) [2][300/327] lr: 5.000000e-04 eta: 6:43:52 time: 0.370958 data_time: 0.032604 memory: 4563 loss: 0.001494 loss_kpt: 0.001494 acc_pose: 0.717358 2023/08/09 20:12:40 - mmengine - INFO - Epoch(train) [2][310/327] lr: 5.000000e-04 eta: 6:43:38 time: 0.362965 data_time: 0.032819 memory: 4563 loss: 0.001461 loss_kpt: 0.001461 acc_pose: 0.787493 2023/08/09 20:12:43 - mmengine - INFO - Epoch(train) [2][320/327] lr: 5.000000e-04 eta: 6:43:24 time: 0.356243 data_time: 0.032746 memory: 4563 loss: 0.001426 loss_kpt: 0.001426 acc_pose: 0.787776 2023/08/09 20:12:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:12:49 - mmengine - INFO - Epoch(train) [3][ 10/327] lr: 5.000000e-04 eta: 6:43:06 time: 0.348813 data_time: 0.035938 memory: 4563 loss: 0.001394 loss_kpt: 0.001394 acc_pose: 0.753789 2023/08/09 20:12:53 - mmengine - INFO - Epoch(train) [3][ 20/327] lr: 5.000000e-04 eta: 6:42:52 time: 0.347671 data_time: 0.035066 memory: 4563 loss: 0.001357 loss_kpt: 0.001357 acc_pose: 0.624669 2023/08/09 20:12:56 - mmengine - INFO - Epoch(train) [3][ 30/327] lr: 5.000000e-04 eta: 6:42:41 time: 0.346829 data_time: 0.034097 memory: 4563 loss: 0.001354 loss_kpt: 0.001354 acc_pose: 0.780501 2023/08/09 20:13:00 - mmengine - INFO - Epoch(train) [3][ 40/327] lr: 5.000000e-04 eta: 6:42:29 time: 0.346950 data_time: 0.034072 memory: 4563 loss: 0.001378 loss_kpt: 0.001378 acc_pose: 0.653291 2023/08/09 20:13:03 - mmengine - INFO - Epoch(train) [3][ 50/327] lr: 5.000000e-04 eta: 6:42:37 time: 0.353904 data_time: 0.037926 memory: 4563 loss: 0.001430 loss_kpt: 0.001430 acc_pose: 0.706609 2023/08/09 20:13:07 - mmengine - INFO - Epoch(train) [3][ 60/327] lr: 5.000000e-04 eta: 6:42:41 time: 0.354206 data_time: 0.035397 memory: 4563 loss: 0.001404 loss_kpt: 0.001404 acc_pose: 0.633456 2023/08/09 20:13:11 - mmengine - INFO - Epoch(train) [3][ 70/327] lr: 5.000000e-04 eta: 6:42:31 time: 0.354883 data_time: 0.035791 memory: 4563 loss: 0.001416 loss_kpt: 0.001416 acc_pose: 0.576694 2023/08/09 20:13:14 - mmengine - INFO - Epoch(train) [3][ 80/327] lr: 5.000000e-04 eta: 6:42:17 time: 0.354042 data_time: 0.035949 memory: 4563 loss: 0.001421 loss_kpt: 0.001421 acc_pose: 0.788373 2023/08/09 20:13:17 - mmengine - INFO - Epoch(train) [3][ 90/327] lr: 5.000000e-04 eta: 6:42:00 time: 0.352800 data_time: 0.035584 memory: 4563 loss: 0.001416 loss_kpt: 0.001416 acc_pose: 0.626273 2023/08/09 20:13:21 - mmengine - INFO - Epoch(train) [3][100/327] lr: 5.000000e-04 eta: 6:42:05 time: 0.352082 data_time: 0.032422 memory: 4563 loss: 0.001388 loss_kpt: 0.001388 acc_pose: 0.665948 2023/08/09 20:13:25 - mmengine - INFO - Epoch(train) [3][110/327] lr: 5.000000e-04 eta: 6:42:03 time: 0.350879 data_time: 0.031126 memory: 4563 loss: 0.001392 loss_kpt: 0.001392 acc_pose: 0.653538 2023/08/09 20:13:28 - mmengine - INFO - Epoch(train) [3][120/327] lr: 5.000000e-04 eta: 6:42:08 time: 0.354243 data_time: 0.030969 memory: 4563 loss: 0.001396 loss_kpt: 0.001396 acc_pose: 0.782879 2023/08/09 20:13:32 - mmengine - INFO - Epoch(train) [3][130/327] lr: 5.000000e-04 eta: 6:42:23 time: 0.360889 data_time: 0.031591 memory: 4563 loss: 0.001380 loss_kpt: 0.001380 acc_pose: 0.735317 2023/08/09 20:13:35 - mmengine - INFO - Epoch(train) [3][140/327] lr: 5.000000e-04 eta: 6:42:08 time: 0.360950 data_time: 0.031593 memory: 4563 loss: 0.001381 loss_kpt: 0.001381 acc_pose: 0.745345 2023/08/09 20:13:39 - mmengine - INFO - Epoch(train) [3][150/327] lr: 5.000000e-04 eta: 6:41:54 time: 0.356985 data_time: 0.031936 memory: 4563 loss: 0.001366 loss_kpt: 0.001366 acc_pose: 0.666052 2023/08/09 20:13:42 - mmengine - INFO - Epoch(train) [3][160/327] lr: 5.000000e-04 eta: 6:41:41 time: 0.354431 data_time: 0.032330 memory: 4563 loss: 0.001336 loss_kpt: 0.001336 acc_pose: 0.731609 2023/08/09 20:13:46 - mmengine - INFO - Epoch(train) [3][170/327] lr: 5.000000e-04 eta: 6:41:33 time: 0.351182 data_time: 0.032941 memory: 4563 loss: 0.001325 loss_kpt: 0.001325 acc_pose: 0.724433 2023/08/09 20:13:49 - mmengine - INFO - Epoch(train) [3][180/327] lr: 5.000000e-04 eta: 6:41:22 time: 0.344915 data_time: 0.032390 memory: 4563 loss: 0.001327 loss_kpt: 0.001327 acc_pose: 0.738932 2023/08/09 20:13:53 - mmengine - INFO - Epoch(train) [3][190/327] lr: 5.000000e-04 eta: 6:41:11 time: 0.345718 data_time: 0.032462 memory: 4563 loss: 0.001309 loss_kpt: 0.001309 acc_pose: 0.741210 2023/08/09 20:13:56 - mmengine - INFO - Epoch(train) [3][200/327] lr: 5.000000e-04 eta: 6:41:10 time: 0.348535 data_time: 0.032722 memory: 4563 loss: 0.001293 loss_kpt: 0.001293 acc_pose: 0.745690 2023/08/09 20:14:00 - mmengine - INFO - Epoch(train) [3][210/327] lr: 5.000000e-04 eta: 6:40:56 time: 0.348168 data_time: 0.032283 memory: 4563 loss: 0.001292 loss_kpt: 0.001292 acc_pose: 0.636782 2023/08/09 20:14:03 - mmengine - INFO - Epoch(train) [3][220/327] lr: 5.000000e-04 eta: 6:40:57 time: 0.350407 data_time: 0.034887 memory: 4563 loss: 0.001283 loss_kpt: 0.001283 acc_pose: 0.738694 2023/08/09 20:14:07 - mmengine - INFO - Epoch(train) [3][230/327] lr: 5.000000e-04 eta: 6:40:43 time: 0.349427 data_time: 0.034875 memory: 4563 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.720833 2023/08/09 20:14:10 - mmengine - INFO - Epoch(train) [3][240/327] lr: 5.000000e-04 eta: 6:40:43 time: 0.352345 data_time: 0.035260 memory: 4563 loss: 0.001309 loss_kpt: 0.001309 acc_pose: 0.721012 2023/08/09 20:14:14 - mmengine - INFO - Epoch(train) [3][250/327] lr: 5.000000e-04 eta: 6:40:36 time: 0.350788 data_time: 0.034779 memory: 4563 loss: 0.001341 loss_kpt: 0.001341 acc_pose: 0.606332 2023/08/09 20:14:18 - mmengine - INFO - Epoch(train) [3][260/327] lr: 5.000000e-04 eta: 6:40:52 time: 0.358495 data_time: 0.035162 memory: 4563 loss: 0.001399 loss_kpt: 0.001399 acc_pose: 0.733398 2023/08/09 20:14:21 - mmengine - INFO - Epoch(train) [3][270/327] lr: 5.000000e-04 eta: 6:40:51 time: 0.357946 data_time: 0.032003 memory: 4563 loss: 0.001427 loss_kpt: 0.001427 acc_pose: 0.790421 2023/08/09 20:14:25 - mmengine - INFO - Epoch(train) [3][280/327] lr: 5.000000e-04 eta: 6:40:38 time: 0.358240 data_time: 0.031862 memory: 4563 loss: 0.001435 loss_kpt: 0.001435 acc_pose: 0.747383 2023/08/09 20:14:28 - mmengine - INFO - Epoch(train) [3][290/327] lr: 5.000000e-04 eta: 6:40:27 time: 0.355063 data_time: 0.031721 memory: 4563 loss: 0.001421 loss_kpt: 0.001421 acc_pose: 0.844349 2023/08/09 20:14:32 - mmengine - INFO - Epoch(train) [3][300/327] lr: 5.000000e-04 eta: 6:40:22 time: 0.355758 data_time: 0.031643 memory: 4563 loss: 0.001419 loss_kpt: 0.001419 acc_pose: 0.620201 2023/08/09 20:14:35 - mmengine - INFO - Epoch(train) [3][310/327] lr: 5.000000e-04 eta: 6:40:23 time: 0.351743 data_time: 0.030953 memory: 4563 loss: 0.001382 loss_kpt: 0.001382 acc_pose: 0.703560 2023/08/09 20:14:39 - mmengine - INFO - Epoch(train) [3][320/327] lr: 5.000000e-04 eta: 6:40:16 time: 0.350059 data_time: 0.031042 memory: 4563 loss: 0.001383 loss_kpt: 0.001383 acc_pose: 0.776039 2023/08/09 20:14:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:14:45 - mmengine - INFO - Epoch(train) [4][ 10/327] lr: 5.000000e-04 eta: 6:40:21 time: 0.357072 data_time: 0.036553 memory: 4563 loss: 0.001369 loss_kpt: 0.001369 acc_pose: 0.693817 2023/08/09 20:14:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:14:48 - mmengine - INFO - Epoch(train) [4][ 20/327] lr: 5.000000e-04 eta: 6:40:15 time: 0.358382 data_time: 0.037132 memory: 4563 loss: 0.001386 loss_kpt: 0.001386 acc_pose: 0.689148 2023/08/09 20:14:52 - mmengine - INFO - Epoch(train) [4][ 30/327] lr: 5.000000e-04 eta: 6:40:05 time: 0.353500 data_time: 0.037179 memory: 4563 loss: 0.001345 loss_kpt: 0.001345 acc_pose: 0.717893 2023/08/09 20:14:55 - mmengine - INFO - Epoch(train) [4][ 40/327] lr: 5.000000e-04 eta: 6:40:03 time: 0.355601 data_time: 0.037044 memory: 4563 loss: 0.001374 loss_kpt: 0.001374 acc_pose: 0.766769 2023/08/09 20:14:59 - mmengine - INFO - Epoch(train) [4][ 50/327] lr: 5.000000e-04 eta: 6:40:00 time: 0.357503 data_time: 0.037298 memory: 4563 loss: 0.001353 loss_kpt: 0.001353 acc_pose: 0.771933 2023/08/09 20:15:03 - mmengine - INFO - Epoch(train) [4][ 60/327] lr: 5.000000e-04 eta: 6:39:52 time: 0.351506 data_time: 0.031723 memory: 4563 loss: 0.001359 loss_kpt: 0.001359 acc_pose: 0.710409 2023/08/09 20:15:06 - mmengine - INFO - Epoch(train) [4][ 70/327] lr: 5.000000e-04 eta: 6:39:51 time: 0.352883 data_time: 0.032041 memory: 4563 loss: 0.001341 loss_kpt: 0.001341 acc_pose: 0.812394 2023/08/09 20:15:10 - mmengine - INFO - Epoch(train) [4][ 80/327] lr: 5.000000e-04 eta: 6:39:44 time: 0.353610 data_time: 0.032694 memory: 4563 loss: 0.001382 loss_kpt: 0.001382 acc_pose: 0.769572 2023/08/09 20:15:13 - mmengine - INFO - Epoch(train) [4][ 90/327] lr: 5.000000e-04 eta: 6:39:30 time: 0.349963 data_time: 0.032535 memory: 4563 loss: 0.001353 loss_kpt: 0.001353 acc_pose: 0.667036 2023/08/09 20:15:16 - mmengine - INFO - Epoch(train) [4][100/327] lr: 5.000000e-04 eta: 6:39:19 time: 0.347430 data_time: 0.032293 memory: 4563 loss: 0.001344 loss_kpt: 0.001344 acc_pose: 0.743326 2023/08/09 20:15:20 - mmengine - INFO - Epoch(train) [4][110/327] lr: 5.000000e-04 eta: 6:39:07 time: 0.345994 data_time: 0.032026 memory: 4563 loss: 0.001311 loss_kpt: 0.001311 acc_pose: 0.690807 2023/08/09 20:15:23 - mmengine - INFO - Epoch(train) [4][120/327] lr: 5.000000e-04 eta: 6:38:56 time: 0.342814 data_time: 0.030687 memory: 4563 loss: 0.001309 loss_kpt: 0.001309 acc_pose: 0.780172 2023/08/09 20:15:27 - mmengine - INFO - Epoch(train) [4][130/327] lr: 5.000000e-04 eta: 6:38:48 time: 0.342171 data_time: 0.030293 memory: 4563 loss: 0.001277 loss_kpt: 0.001277 acc_pose: 0.527372 2023/08/09 20:15:30 - mmengine - INFO - Epoch(train) [4][140/327] lr: 5.000000e-04 eta: 6:38:38 time: 0.343089 data_time: 0.030456 memory: 4563 loss: 0.001289 loss_kpt: 0.001289 acc_pose: 0.726505 2023/08/09 20:15:34 - mmengine - INFO - Epoch(train) [4][150/327] lr: 5.000000e-04 eta: 6:38:45 time: 0.348906 data_time: 0.031295 memory: 4563 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.758621 2023/08/09 20:15:37 - mmengine - INFO - Epoch(train) [4][160/327] lr: 5.000000e-04 eta: 6:38:36 time: 0.349596 data_time: 0.031275 memory: 4563 loss: 0.001315 loss_kpt: 0.001315 acc_pose: 0.672619 2023/08/09 20:15:41 - mmengine - INFO - Epoch(train) [4][170/327] lr: 5.000000e-04 eta: 6:38:33 time: 0.352365 data_time: 0.034173 memory: 4563 loss: 0.001329 loss_kpt: 0.001329 acc_pose: 0.788272 2023/08/09 20:15:44 - mmengine - INFO - Epoch(train) [4][180/327] lr: 5.000000e-04 eta: 6:38:23 time: 0.351594 data_time: 0.034012 memory: 4563 loss: 0.001333 loss_kpt: 0.001333 acc_pose: 0.648717 2023/08/09 20:15:48 - mmengine - INFO - Epoch(train) [4][190/327] lr: 5.000000e-04 eta: 6:38:14 time: 0.351889 data_time: 0.033830 memory: 4563 loss: 0.001340 loss_kpt: 0.001340 acc_pose: 0.798637 2023/08/09 20:15:51 - mmengine - INFO - Epoch(train) [4][200/327] lr: 5.000000e-04 eta: 6:38:07 time: 0.347251 data_time: 0.033319 memory: 4563 loss: 0.001349 loss_kpt: 0.001349 acc_pose: 0.698994 2023/08/09 20:15:55 - mmengine - INFO - Epoch(train) [4][210/327] lr: 5.000000e-04 eta: 6:37:59 time: 0.347489 data_time: 0.033533 memory: 4563 loss: 0.001355 loss_kpt: 0.001355 acc_pose: 0.763690 2023/08/09 20:15:58 - mmengine - INFO - Epoch(train) [4][220/327] lr: 5.000000e-04 eta: 6:38:00 time: 0.348603 data_time: 0.031143 memory: 4563 loss: 0.001380 loss_kpt: 0.001380 acc_pose: 0.775509 2023/08/09 20:16:02 - mmengine - INFO - Epoch(train) [4][230/327] lr: 5.000000e-04 eta: 6:37:48 time: 0.347932 data_time: 0.030957 memory: 4563 loss: 0.001370 loss_kpt: 0.001370 acc_pose: 0.797120 2023/08/09 20:16:05 - mmengine - INFO - Epoch(train) [4][240/327] lr: 5.000000e-04 eta: 6:37:57 time: 0.354423 data_time: 0.031506 memory: 4563 loss: 0.001369 loss_kpt: 0.001369 acc_pose: 0.708436 2023/08/09 20:16:09 - mmengine - INFO - Epoch(train) [4][250/327] lr: 5.000000e-04 eta: 6:38:04 time: 0.359508 data_time: 0.032023 memory: 4563 loss: 0.001352 loss_kpt: 0.001352 acc_pose: 0.700593 2023/08/09 20:16:13 - mmengine - INFO - Epoch(train) [4][260/327] lr: 5.000000e-04 eta: 6:38:15 time: 0.366260 data_time: 0.032022 memory: 4563 loss: 0.001331 loss_kpt: 0.001331 acc_pose: 0.712069 2023/08/09 20:16:17 - mmengine - INFO - Epoch(train) [4][270/327] lr: 5.000000e-04 eta: 6:38:26 time: 0.370092 data_time: 0.031876 memory: 4563 loss: 0.001308 loss_kpt: 0.001308 acc_pose: 0.660027 2023/08/09 20:16:20 - mmengine - INFO - Epoch(train) [4][280/327] lr: 5.000000e-04 eta: 6:38:19 time: 0.372150 data_time: 0.032378 memory: 4563 loss: 0.001299 loss_kpt: 0.001299 acc_pose: 0.757416 2023/08/09 20:16:24 - mmengine - INFO - Epoch(train) [4][290/327] lr: 5.000000e-04 eta: 6:38:15 time: 0.367345 data_time: 0.032836 memory: 4563 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.780770 2023/08/09 20:16:27 - mmengine - INFO - Epoch(train) [4][300/327] lr: 5.000000e-04 eta: 6:38:15 time: 0.364924 data_time: 0.035919 memory: 4563 loss: 0.001279 loss_kpt: 0.001279 acc_pose: 0.845162 2023/08/09 20:16:31 - mmengine - INFO - Epoch(train) [4][310/327] lr: 5.000000e-04 eta: 6:38:06 time: 0.357684 data_time: 0.035799 memory: 4563 loss: 0.001287 loss_kpt: 0.001287 acc_pose: 0.789370 2023/08/09 20:16:34 - mmengine - INFO - Epoch(train) [4][320/327] lr: 5.000000e-04 eta: 6:37:57 time: 0.350426 data_time: 0.035530 memory: 4563 loss: 0.001269 loss_kpt: 0.001269 acc_pose: 0.780081 2023/08/09 20:16:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:16:41 - mmengine - INFO - Epoch(train) [5][ 10/327] lr: 5.000000e-04 eta: 6:38:12 time: 0.358818 data_time: 0.037734 memory: 4563 loss: 0.001299 loss_kpt: 0.001299 acc_pose: 0.739892 2023/08/09 20:16:44 - mmengine - INFO - Epoch(train) [5][ 20/327] lr: 5.000000e-04 eta: 6:38:10 time: 0.358071 data_time: 0.033904 memory: 4563 loss: 0.001323 loss_kpt: 0.001323 acc_pose: 0.654847 2023/08/09 20:16:48 - mmengine - INFO - Epoch(train) [5][ 30/327] lr: 5.000000e-04 eta: 6:38:13 time: 0.362788 data_time: 0.034200 memory: 4563 loss: 0.001310 loss_kpt: 0.001310 acc_pose: 0.771371 2023/08/09 20:16:52 - mmengine - INFO - Epoch(train) [5][ 40/327] lr: 5.000000e-04 eta: 6:38:29 time: 0.372619 data_time: 0.033992 memory: 4563 loss: 0.001318 loss_kpt: 0.001318 acc_pose: 0.762979 2023/08/09 20:16:56 - mmengine - INFO - Epoch(train) [5][ 50/327] lr: 5.000000e-04 eta: 6:38:44 time: 0.383523 data_time: 0.034646 memory: 4563 loss: 0.001318 loss_kpt: 0.001318 acc_pose: 0.763090 2023/08/09 20:17:00 - mmengine - INFO - Epoch(train) [5][ 60/327] lr: 5.000000e-04 eta: 6:38:51 time: 0.377767 data_time: 0.030380 memory: 4563 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.773308 2023/08/09 20:17:03 - mmengine - INFO - Epoch(train) [5][ 70/327] lr: 5.000000e-04 eta: 6:38:51 time: 0.378938 data_time: 0.030504 memory: 4563 loss: 0.001267 loss_kpt: 0.001267 acc_pose: 0.684802 2023/08/09 20:17:07 - mmengine - INFO - Epoch(train) [5][ 80/327] lr: 5.000000e-04 eta: 6:38:46 time: 0.375802 data_time: 0.030606 memory: 4563 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.705618 2023/08/09 20:17:11 - mmengine - INFO - Epoch(train) [5][ 90/327] lr: 5.000000e-04 eta: 6:38:55 time: 0.373434 data_time: 0.031291 memory: 4563 loss: 0.001227 loss_kpt: 0.001227 acc_pose: 0.773545 2023/08/09 20:17:14 - mmengine - INFO - Epoch(train) [5][100/327] lr: 5.000000e-04 eta: 6:38:47 time: 0.364119 data_time: 0.031504 memory: 4563 loss: 0.001201 loss_kpt: 0.001201 acc_pose: 0.729490 2023/08/09 20:17:18 - mmengine - INFO - Epoch(train) [5][110/327] lr: 5.000000e-04 eta: 6:38:36 time: 0.356801 data_time: 0.031468 memory: 4563 loss: 0.001251 loss_kpt: 0.001251 acc_pose: 0.765096 2023/08/09 20:17:21 - mmengine - INFO - Epoch(train) [5][120/327] lr: 5.000000e-04 eta: 6:38:33 time: 0.355705 data_time: 0.031735 memory: 4563 loss: 0.001261 loss_kpt: 0.001261 acc_pose: 0.747373 2023/08/09 20:17:25 - mmengine - INFO - Epoch(train) [5][130/327] lr: 5.000000e-04 eta: 6:38:25 time: 0.354168 data_time: 0.031115 memory: 4563 loss: 0.001284 loss_kpt: 0.001284 acc_pose: 0.745402 2023/08/09 20:17:28 - mmengine - INFO - Epoch(train) [5][140/327] lr: 5.000000e-04 eta: 6:38:19 time: 0.347929 data_time: 0.030680 memory: 4563 loss: 0.001274 loss_kpt: 0.001274 acc_pose: 0.808901 2023/08/09 20:17:32 - mmengine - INFO - Epoch(train) [5][150/327] lr: 5.000000e-04 eta: 6:38:12 time: 0.348269 data_time: 0.031201 memory: 4563 loss: 0.001278 loss_kpt: 0.001278 acc_pose: 0.742057 2023/08/09 20:17:35 - mmengine - INFO - Epoch(train) [5][160/327] lr: 5.000000e-04 eta: 6:38:06 time: 0.350546 data_time: 0.031850 memory: 4563 loss: 0.001227 loss_kpt: 0.001227 acc_pose: 0.808531 2023/08/09 20:17:39 - mmengine - INFO - Epoch(train) [5][170/327] lr: 5.000000e-04 eta: 6:38:00 time: 0.348921 data_time: 0.031457 memory: 4563 loss: 0.001215 loss_kpt: 0.001215 acc_pose: 0.794458 2023/08/09 20:17:42 - mmengine - INFO - Epoch(train) [5][180/327] lr: 5.000000e-04 eta: 6:37:50 time: 0.348043 data_time: 0.031638 memory: 4563 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.715054 2023/08/09 20:17:45 - mmengine - INFO - Epoch(train) [5][190/327] lr: 5.000000e-04 eta: 6:37:44 time: 0.347953 data_time: 0.031360 memory: 4563 loss: 0.001241 loss_kpt: 0.001241 acc_pose: 0.789672 2023/08/09 20:17:49 - mmengine - INFO - Epoch(train) [5][200/327] lr: 5.000000e-04 eta: 6:37:34 time: 0.346760 data_time: 0.030968 memory: 4563 loss: 0.001241 loss_kpt: 0.001241 acc_pose: 0.782397 2023/08/09 20:17:53 - mmengine - INFO - Epoch(train) [5][210/327] lr: 5.000000e-04 eta: 6:37:35 time: 0.349349 data_time: 0.030399 memory: 4563 loss: 0.001257 loss_kpt: 0.001257 acc_pose: 0.731740 2023/08/09 20:17:56 - mmengine - INFO - Epoch(train) [5][220/327] lr: 5.000000e-04 eta: 6:37:28 time: 0.348669 data_time: 0.030696 memory: 4563 loss: 0.001276 loss_kpt: 0.001276 acc_pose: 0.689388 2023/08/09 20:18:00 - mmengine - INFO - Epoch(train) [5][230/327] lr: 5.000000e-04 eta: 6:37:24 time: 0.351421 data_time: 0.030636 memory: 4563 loss: 0.001267 loss_kpt: 0.001267 acc_pose: 0.816013 2023/08/09 20:18:03 - mmengine - INFO - Epoch(train) [5][240/327] lr: 5.000000e-04 eta: 6:37:21 time: 0.352622 data_time: 0.031394 memory: 4563 loss: 0.001263 loss_kpt: 0.001263 acc_pose: 0.672095 2023/08/09 20:18:07 - mmengine - INFO - Epoch(train) [5][250/327] lr: 5.000000e-04 eta: 6:37:29 time: 0.361040 data_time: 0.031192 memory: 4563 loss: 0.001291 loss_kpt: 0.001291 acc_pose: 0.752772 2023/08/09 20:18:11 - mmengine - INFO - Epoch(train) [5][260/327] lr: 5.000000e-04 eta: 6:37:38 time: 0.365036 data_time: 0.031272 memory: 4563 loss: 0.001289 loss_kpt: 0.001289 acc_pose: 0.765212 2023/08/09 20:18:15 - mmengine - INFO - Epoch(train) [5][270/327] lr: 5.000000e-04 eta: 6:37:54 time: 0.375781 data_time: 0.034665 memory: 4563 loss: 0.001250 loss_kpt: 0.001250 acc_pose: 0.702381 2023/08/09 20:18:18 - mmengine - INFO - Epoch(train) [5][280/327] lr: 5.000000e-04 eta: 6:37:48 time: 0.375122 data_time: 0.035414 memory: 4563 loss: 0.001243 loss_kpt: 0.001243 acc_pose: 0.769355 2023/08/09 20:18:22 - mmengine - INFO - Epoch(train) [5][290/327] lr: 5.000000e-04 eta: 6:37:39 time: 0.372506 data_time: 0.034946 memory: 4563 loss: 0.001246 loss_kpt: 0.001246 acc_pose: 0.845238 2023/08/09 20:18:25 - mmengine - INFO - Epoch(train) [5][300/327] lr: 5.000000e-04 eta: 6:37:32 time: 0.364999 data_time: 0.035435 memory: 4563 loss: 0.001216 loss_kpt: 0.001216 acc_pose: 0.758185 2023/08/09 20:18:29 - mmengine - INFO - Epoch(train) [5][310/327] lr: 5.000000e-04 eta: 6:37:22 time: 0.356241 data_time: 0.035432 memory: 4563 loss: 0.001215 loss_kpt: 0.001215 acc_pose: 0.722469 2023/08/09 20:18:32 - mmengine - INFO - Epoch(train) [5][320/327] lr: 5.000000e-04 eta: 6:37:13 time: 0.344901 data_time: 0.031677 memory: 4563 loss: 0.001239 loss_kpt: 0.001239 acc_pose: 0.676871 2023/08/09 20:18:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:18:38 - mmengine - INFO - Epoch(train) [6][ 10/327] lr: 5.000000e-04 eta: 6:37:00 time: 0.343810 data_time: 0.033564 memory: 4563 loss: 0.001256 loss_kpt: 0.001256 acc_pose: 0.814544 2023/08/09 20:18:41 - mmengine - INFO - Epoch(train) [6][ 20/327] lr: 5.000000e-04 eta: 6:36:49 time: 0.341627 data_time: 0.033551 memory: 4563 loss: 0.001277 loss_kpt: 0.001277 acc_pose: 0.773146 2023/08/09 20:18:45 - mmengine - INFO - Epoch(train) [6][ 30/327] lr: 5.000000e-04 eta: 6:36:39 time: 0.341396 data_time: 0.033846 memory: 4563 loss: 0.001290 loss_kpt: 0.001290 acc_pose: 0.725879 2023/08/09 20:18:48 - mmengine - INFO - Epoch(train) [6][ 40/327] lr: 5.000000e-04 eta: 6:36:30 time: 0.341146 data_time: 0.034461 memory: 4563 loss: 0.001288 loss_kpt: 0.001288 acc_pose: 0.824634 2023/08/09 20:18:52 - mmengine - INFO - Epoch(train) [6][ 50/327] lr: 5.000000e-04 eta: 6:36:25 time: 0.344632 data_time: 0.036298 memory: 4563 loss: 0.001253 loss_kpt: 0.001253 acc_pose: 0.693338 2023/08/09 20:18:55 - mmengine - INFO - Epoch(train) [6][ 60/327] lr: 5.000000e-04 eta: 6:36:13 time: 0.340295 data_time: 0.033068 memory: 4563 loss: 0.001238 loss_kpt: 0.001238 acc_pose: 0.693536 2023/08/09 20:18:58 - mmengine - INFO - Epoch(train) [6][ 70/327] lr: 5.000000e-04 eta: 6:36:00 time: 0.339542 data_time: 0.032710 memory: 4563 loss: 0.001226 loss_kpt: 0.001226 acc_pose: 0.800521 2023/08/09 20:19:02 - mmengine - INFO - Epoch(train) [6][ 80/327] lr: 5.000000e-04 eta: 6:35:49 time: 0.338555 data_time: 0.032084 memory: 4563 loss: 0.001191 loss_kpt: 0.001191 acc_pose: 0.785430 2023/08/09 20:19:05 - mmengine - INFO - Epoch(train) [6][ 90/327] lr: 5.000000e-04 eta: 6:35:42 time: 0.339301 data_time: 0.032164 memory: 4563 loss: 0.001198 loss_kpt: 0.001198 acc_pose: 0.706502 2023/08/09 20:19:09 - mmengine - INFO - Epoch(train) [6][100/327] lr: 5.000000e-04 eta: 6:35:35 time: 0.338525 data_time: 0.031696 memory: 4563 loss: 0.001196 loss_kpt: 0.001196 acc_pose: 0.769704 2023/08/09 20:19:12 - mmengine - INFO - Epoch(train) [6][110/327] lr: 5.000000e-04 eta: 6:35:27 time: 0.340484 data_time: 0.031231 memory: 4563 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.757275 2023/08/09 20:19:15 - mmengine - INFO - Epoch(train) [6][120/327] lr: 5.000000e-04 eta: 6:35:16 time: 0.341289 data_time: 0.031431 memory: 4563 loss: 0.001172 loss_kpt: 0.001172 acc_pose: 0.715741 2023/08/09 20:19:19 - mmengine - INFO - Epoch(train) [6][130/327] lr: 5.000000e-04 eta: 6:35:07 time: 0.342226 data_time: 0.031431 memory: 4563 loss: 0.001206 loss_kpt: 0.001206 acc_pose: 0.781762 2023/08/09 20:19:22 - mmengine - INFO - Epoch(train) [6][140/327] lr: 5.000000e-04 eta: 6:35:04 time: 0.343973 data_time: 0.033877 memory: 4563 loss: 0.001206 loss_kpt: 0.001206 acc_pose: 0.723666 2023/08/09 20:19:26 - mmengine - INFO - Epoch(train) [6][150/327] lr: 5.000000e-04 eta: 6:34:59 time: 0.344939 data_time: 0.033437 memory: 4563 loss: 0.001204 loss_kpt: 0.001204 acc_pose: 0.868056 2023/08/09 20:19:29 - mmengine - INFO - Epoch(train) [6][160/327] lr: 5.000000e-04 eta: 6:34:55 time: 0.346824 data_time: 0.033406 memory: 4563 loss: 0.001215 loss_kpt: 0.001215 acc_pose: 0.748415 2023/08/09 20:19:33 - mmengine - INFO - Epoch(train) [6][170/327] lr: 5.000000e-04 eta: 6:34:53 time: 0.351403 data_time: 0.033929 memory: 4563 loss: 0.001247 loss_kpt: 0.001247 acc_pose: 0.660384 2023/08/09 20:19:37 - mmengine - INFO - Epoch(train) [6][180/327] lr: 5.000000e-04 eta: 6:34:57 time: 0.358353 data_time: 0.034843 memory: 4563 loss: 0.001228 loss_kpt: 0.001228 acc_pose: 0.814840 2023/08/09 20:19:40 - mmengine - INFO - Epoch(train) [6][190/327] lr: 5.000000e-04 eta: 6:35:05 time: 0.364512 data_time: 0.032833 memory: 4563 loss: 0.001189 loss_kpt: 0.001189 acc_pose: 0.834241 2023/08/09 20:19:44 - mmengine - INFO - Epoch(train) [6][200/327] lr: 5.000000e-04 eta: 6:35:05 time: 0.367314 data_time: 0.033918 memory: 4563 loss: 0.001185 loss_kpt: 0.001185 acc_pose: 0.778827 2023/08/09 20:19:48 - mmengine - INFO - Epoch(train) [6][210/327] lr: 5.000000e-04 eta: 6:34:56 time: 0.364591 data_time: 0.034606 memory: 4563 loss: 0.001193 loss_kpt: 0.001193 acc_pose: 0.811043 2023/08/09 20:19:51 - mmengine - INFO - Epoch(train) [6][220/327] lr: 5.000000e-04 eta: 6:34:47 time: 0.360637 data_time: 0.034773 memory: 4563 loss: 0.001154 loss_kpt: 0.001154 acc_pose: 0.806498 2023/08/09 20:19:54 - mmengine - INFO - Epoch(train) [6][230/327] lr: 5.000000e-04 eta: 6:34:37 time: 0.353294 data_time: 0.034002 memory: 4563 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.637262 2023/08/09 20:19:58 - mmengine - INFO - Epoch(train) [6][240/327] lr: 5.000000e-04 eta: 6:34:29 time: 0.344679 data_time: 0.033842 memory: 4563 loss: 0.001180 loss_kpt: 0.001180 acc_pose: 0.769463 2023/08/09 20:20:01 - mmengine - INFO - Epoch(train) [6][250/327] lr: 5.000000e-04 eta: 6:34:21 time: 0.340123 data_time: 0.033832 memory: 4563 loss: 0.001174 loss_kpt: 0.001174 acc_pose: 0.806513 2023/08/09 20:20:04 - mmengine - INFO - Epoch(train) [6][260/327] lr: 5.000000e-04 eta: 6:34:11 time: 0.339253 data_time: 0.033800 memory: 4563 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.876232 2023/08/09 20:20:08 - mmengine - INFO - Epoch(train) [6][270/327] lr: 5.000000e-04 eta: 6:34:01 time: 0.338671 data_time: 0.033953 memory: 4563 loss: 0.001163 loss_kpt: 0.001163 acc_pose: 0.739304 2023/08/09 20:20:11 - mmengine - INFO - Epoch(train) [6][280/327] lr: 5.000000e-04 eta: 6:33:50 time: 0.337738 data_time: 0.034521 memory: 4563 loss: 0.001157 loss_kpt: 0.001157 acc_pose: 0.811084 2023/08/09 20:20:15 - mmengine - INFO - Epoch(train) [6][290/327] lr: 5.000000e-04 eta: 6:33:41 time: 0.337009 data_time: 0.034489 memory: 4563 loss: 0.001149 loss_kpt: 0.001149 acc_pose: 0.757337 2023/08/09 20:20:18 - mmengine - INFO - Epoch(train) [6][300/327] lr: 5.000000e-04 eta: 6:33:40 time: 0.340245 data_time: 0.033674 memory: 4563 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.795785 2023/08/09 20:20:22 - mmengine - INFO - Epoch(train) [6][310/327] lr: 5.000000e-04 eta: 6:33:33 time: 0.342127 data_time: 0.033269 memory: 4563 loss: 0.001195 loss_kpt: 0.001195 acc_pose: 0.774008 2023/08/09 20:20:25 - mmengine - INFO - Epoch(train) [6][320/327] lr: 5.000000e-04 eta: 6:33:24 time: 0.342742 data_time: 0.032691 memory: 4563 loss: 0.001209 loss_kpt: 0.001209 acc_pose: 0.753608 2023/08/09 20:20:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:20:31 - mmengine - INFO - Epoch(train) [7][ 10/327] lr: 5.000000e-04 eta: 6:33:12 time: 0.345795 data_time: 0.034848 memory: 4563 loss: 0.001230 loss_kpt: 0.001230 acc_pose: 0.809148 2023/08/09 20:20:35 - mmengine - INFO - Epoch(train) [7][ 20/327] lr: 5.000000e-04 eta: 6:33:18 time: 0.353367 data_time: 0.034821 memory: 4563 loss: 0.001219 loss_kpt: 0.001219 acc_pose: 0.823255 2023/08/09 20:20:38 - mmengine - INFO - Epoch(train) [7][ 30/327] lr: 5.000000e-04 eta: 6:33:16 time: 0.352608 data_time: 0.034554 memory: 4563 loss: 0.001207 loss_kpt: 0.001207 acc_pose: 0.833222 2023/08/09 20:20:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:20:42 - mmengine - INFO - Epoch(train) [7][ 40/327] lr: 5.000000e-04 eta: 6:33:07 time: 0.353011 data_time: 0.034427 memory: 4563 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.681322 2023/08/09 20:20:45 - mmengine - INFO - Epoch(train) [7][ 50/327] lr: 5.000000e-04 eta: 6:33:00 time: 0.355353 data_time: 0.034853 memory: 4563 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.781481 2023/08/09 20:20:48 - mmengine - INFO - Epoch(train) [7][ 60/327] lr: 5.000000e-04 eta: 6:32:52 time: 0.351978 data_time: 0.031519 memory: 4563 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.762013 2023/08/09 20:20:52 - mmengine - INFO - Epoch(train) [7][ 70/327] lr: 5.000000e-04 eta: 6:32:44 time: 0.344359 data_time: 0.031668 memory: 4563 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.779361 2023/08/09 20:20:55 - mmengine - INFO - Epoch(train) [7][ 80/327] lr: 5.000000e-04 eta: 6:32:36 time: 0.340384 data_time: 0.031268 memory: 4563 loss: 0.001173 loss_kpt: 0.001173 acc_pose: 0.797989 2023/08/09 20:20:59 - mmengine - INFO - Epoch(train) [7][ 90/327] lr: 5.000000e-04 eta: 6:32:26 time: 0.339407 data_time: 0.031395 memory: 4563 loss: 0.001178 loss_kpt: 0.001178 acc_pose: 0.744355 2023/08/09 20:21:02 - mmengine - INFO - Epoch(train) [7][100/327] lr: 5.000000e-04 eta: 6:32:17 time: 0.338006 data_time: 0.031151 memory: 4563 loss: 0.001217 loss_kpt: 0.001217 acc_pose: 0.813434 2023/08/09 20:21:05 - mmengine - INFO - Epoch(train) [7][110/327] lr: 5.000000e-04 eta: 6:32:11 time: 0.339337 data_time: 0.031258 memory: 4563 loss: 0.001191 loss_kpt: 0.001191 acc_pose: 0.817028 2023/08/09 20:21:09 - mmengine - INFO - Epoch(train) [7][120/327] lr: 5.000000e-04 eta: 6:32:06 time: 0.340735 data_time: 0.031246 memory: 4563 loss: 0.001183 loss_kpt: 0.001183 acc_pose: 0.799761 2023/08/09 20:21:12 - mmengine - INFO - Epoch(train) [7][130/327] lr: 5.000000e-04 eta: 6:32:03 time: 0.343467 data_time: 0.031493 memory: 4563 loss: 0.001190 loss_kpt: 0.001190 acc_pose: 0.877463 2023/08/09 20:21:16 - mmengine - INFO - Epoch(train) [7][140/327] lr: 5.000000e-04 eta: 6:31:56 time: 0.345513 data_time: 0.031578 memory: 4563 loss: 0.001222 loss_kpt: 0.001222 acc_pose: 0.603033 2023/08/09 20:21:19 - mmengine - INFO - Epoch(train) [7][150/327] lr: 5.000000e-04 eta: 6:31:54 time: 0.350435 data_time: 0.031830 memory: 4563 loss: 0.001203 loss_kpt: 0.001203 acc_pose: 0.693931 2023/08/09 20:21:23 - mmengine - INFO - Epoch(train) [7][160/327] lr: 5.000000e-04 eta: 6:31:44 time: 0.347473 data_time: 0.031198 memory: 4563 loss: 0.001239 loss_kpt: 0.001239 acc_pose: 0.713334 2023/08/09 20:21:26 - mmengine - INFO - Epoch(train) [7][170/327] lr: 5.000000e-04 eta: 6:31:34 time: 0.344044 data_time: 0.030692 memory: 4563 loss: 0.001216 loss_kpt: 0.001216 acc_pose: 0.726630 2023/08/09 20:21:29 - mmengine - INFO - Epoch(train) [7][180/327] lr: 5.000000e-04 eta: 6:31:25 time: 0.340742 data_time: 0.030537 memory: 4563 loss: 0.001214 loss_kpt: 0.001214 acc_pose: 0.670156 2023/08/09 20:21:33 - mmengine - INFO - Epoch(train) [7][190/327] lr: 5.000000e-04 eta: 6:31:18 time: 0.339823 data_time: 0.030675 memory: 4563 loss: 0.001180 loss_kpt: 0.001180 acc_pose: 0.797126 2023/08/09 20:21:36 - mmengine - INFO - Epoch(train) [7][200/327] lr: 5.000000e-04 eta: 6:31:10 time: 0.335765 data_time: 0.030553 memory: 4563 loss: 0.001194 loss_kpt: 0.001194 acc_pose: 0.714581 2023/08/09 20:21:40 - mmengine - INFO - Epoch(train) [7][210/327] lr: 5.000000e-04 eta: 6:31:12 time: 0.343784 data_time: 0.031124 memory: 4563 loss: 0.001165 loss_kpt: 0.001165 acc_pose: 0.885398 2023/08/09 20:21:44 - mmengine - INFO - Epoch(train) [7][220/327] lr: 5.000000e-04 eta: 6:31:16 time: 0.352984 data_time: 0.031513 memory: 4563 loss: 0.001186 loss_kpt: 0.001186 acc_pose: 0.828612 2023/08/09 20:21:48 - mmengine - INFO - Epoch(train) [7][230/327] lr: 5.000000e-04 eta: 6:31:20 time: 0.361311 data_time: 0.031748 memory: 4563 loss: 0.001178 loss_kpt: 0.001178 acc_pose: 0.829598 2023/08/09 20:21:51 - mmengine - INFO - Epoch(train) [7][240/327] lr: 5.000000e-04 eta: 6:31:29 time: 0.372005 data_time: 0.031757 memory: 4563 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.729821 2023/08/09 20:21:55 - mmengine - INFO - Epoch(train) [7][250/327] lr: 5.000000e-04 eta: 6:31:30 time: 0.378432 data_time: 0.032181 memory: 4563 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.753941 2023/08/09 20:21:59 - mmengine - INFO - Epoch(train) [7][260/327] lr: 5.000000e-04 eta: 6:31:26 time: 0.373898 data_time: 0.031963 memory: 4563 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.756513 2023/08/09 20:22:02 - mmengine - INFO - Epoch(train) [7][270/327] lr: 5.000000e-04 eta: 6:31:19 time: 0.367235 data_time: 0.031888 memory: 4563 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.701506 2023/08/09 20:22:05 - mmengine - INFO - Epoch(train) [7][280/327] lr: 5.000000e-04 eta: 6:31:12 time: 0.359250 data_time: 0.031698 memory: 4563 loss: 0.001173 loss_kpt: 0.001173 acc_pose: 0.760160 2023/08/09 20:22:09 - mmengine - INFO - Epoch(train) [7][290/327] lr: 5.000000e-04 eta: 6:31:02 time: 0.347119 data_time: 0.031237 memory: 4563 loss: 0.001187 loss_kpt: 0.001187 acc_pose: 0.758128 2023/08/09 20:22:12 - mmengine - INFO - Epoch(train) [7][300/327] lr: 5.000000e-04 eta: 6:30:53 time: 0.340042 data_time: 0.031542 memory: 4563 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.868229 2023/08/09 20:22:16 - mmengine - INFO - Epoch(train) [7][310/327] lr: 5.000000e-04 eta: 6:30:49 time: 0.340269 data_time: 0.034703 memory: 4563 loss: 0.001167 loss_kpt: 0.001167 acc_pose: 0.778542 2023/08/09 20:22:19 - mmengine - INFO - Epoch(train) [7][320/327] lr: 5.000000e-04 eta: 6:30:40 time: 0.338602 data_time: 0.034517 memory: 4563 loss: 0.001153 loss_kpt: 0.001153 acc_pose: 0.754145 2023/08/09 20:22:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:22:25 - mmengine - INFO - Epoch(train) [8][ 10/327] lr: 5.000000e-04 eta: 6:30:35 time: 0.344658 data_time: 0.040953 memory: 4563 loss: 0.001171 loss_kpt: 0.001171 acc_pose: 0.825229 2023/08/09 20:22:28 - mmengine - INFO - Epoch(train) [8][ 20/327] lr: 5.000000e-04 eta: 6:30:28 time: 0.345646 data_time: 0.040193 memory: 4563 loss: 0.001159 loss_kpt: 0.001159 acc_pose: 0.888021 2023/08/09 20:22:32 - mmengine - INFO - Epoch(train) [8][ 30/327] lr: 5.000000e-04 eta: 6:30:24 time: 0.348554 data_time: 0.039719 memory: 4563 loss: 0.001198 loss_kpt: 0.001198 acc_pose: 0.642170 2023/08/09 20:22:36 - mmengine - INFO - Epoch(train) [8][ 40/327] lr: 5.000000e-04 eta: 6:30:23 time: 0.351142 data_time: 0.036953 memory: 4563 loss: 0.001188 loss_kpt: 0.001188 acc_pose: 0.758929 2023/08/09 20:22:39 - mmengine - INFO - Epoch(train) [8][ 50/327] lr: 5.000000e-04 eta: 6:30:15 time: 0.349533 data_time: 0.034490 memory: 4563 loss: 0.001184 loss_kpt: 0.001184 acc_pose: 0.759590 2023/08/09 20:22:42 - mmengine - INFO - Epoch(train) [8][ 60/327] lr: 5.000000e-04 eta: 6:30:07 time: 0.345273 data_time: 0.030588 memory: 4563 loss: 0.001172 loss_kpt: 0.001172 acc_pose: 0.793576 2023/08/09 20:22:46 - mmengine - INFO - Epoch(train) [8][ 70/327] lr: 5.000000e-04 eta: 6:30:00 time: 0.345762 data_time: 0.030847 memory: 4563 loss: 0.001182 loss_kpt: 0.001182 acc_pose: 0.634952 2023/08/09 20:22:49 - mmengine - INFO - Epoch(train) [8][ 80/327] lr: 5.000000e-04 eta: 6:29:54 time: 0.344466 data_time: 0.030920 memory: 4563 loss: 0.001155 loss_kpt: 0.001155 acc_pose: 0.824296 2023/08/09 20:22:53 - mmengine - INFO - Epoch(train) [8][ 90/327] lr: 5.000000e-04 eta: 6:29:50 time: 0.342230 data_time: 0.031037 memory: 4563 loss: 0.001164 loss_kpt: 0.001164 acc_pose: 0.720769 2023/08/09 20:22:56 - mmengine - INFO - Epoch(train) [8][100/327] lr: 5.000000e-04 eta: 6:29:42 time: 0.341929 data_time: 0.031007 memory: 4563 loss: 0.001147 loss_kpt: 0.001147 acc_pose: 0.820690 2023/08/09 20:22:59 - mmengine - INFO - Epoch(train) [8][110/327] lr: 5.000000e-04 eta: 6:29:34 time: 0.342215 data_time: 0.031196 memory: 4563 loss: 0.001158 loss_kpt: 0.001158 acc_pose: 0.769905 2023/08/09 20:23:03 - mmengine - INFO - Epoch(train) [8][120/327] lr: 5.000000e-04 eta: 6:29:26 time: 0.341235 data_time: 0.031090 memory: 4563 loss: 0.001166 loss_kpt: 0.001166 acc_pose: 0.748214 2023/08/09 20:23:06 - mmengine - INFO - Epoch(train) [8][130/327] lr: 5.000000e-04 eta: 6:29:18 time: 0.339419 data_time: 0.030806 memory: 4563 loss: 0.001158 loss_kpt: 0.001158 acc_pose: 0.748122 2023/08/09 20:23:10 - mmengine - INFO - Epoch(train) [8][140/327] lr: 5.000000e-04 eta: 6:29:10 time: 0.336570 data_time: 0.030598 memory: 4563 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.708710 2023/08/09 20:23:13 - mmengine - INFO - Epoch(train) [8][150/327] lr: 5.000000e-04 eta: 6:29:03 time: 0.337407 data_time: 0.030630 memory: 4563 loss: 0.001168 loss_kpt: 0.001168 acc_pose: 0.802842 2023/08/09 20:23:17 - mmengine - INFO - Epoch(train) [8][160/327] lr: 5.000000e-04 eta: 6:29:02 time: 0.342108 data_time: 0.030554 memory: 4563 loss: 0.001152 loss_kpt: 0.001152 acc_pose: 0.746794 2023/08/09 20:23:20 - mmengine - INFO - Epoch(train) [8][170/327] lr: 5.000000e-04 eta: 6:28:53 time: 0.341145 data_time: 0.030488 memory: 4563 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.737551 2023/08/09 20:23:23 - mmengine - INFO - Epoch(train) [8][180/327] lr: 5.000000e-04 eta: 6:28:44 time: 0.340312 data_time: 0.030411 memory: 4563 loss: 0.001136 loss_kpt: 0.001136 acc_pose: 0.798202 2023/08/09 20:23:27 - mmengine - INFO - Epoch(train) [8][190/327] lr: 5.000000e-04 eta: 6:28:36 time: 0.339939 data_time: 0.030602 memory: 4563 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.762356 2023/08/09 20:23:30 - mmengine - INFO - Epoch(train) [8][200/327] lr: 5.000000e-04 eta: 6:28:31 time: 0.341711 data_time: 0.030881 memory: 4563 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.763710 2023/08/09 20:23:33 - mmengine - INFO - Epoch(train) [8][210/327] lr: 5.000000e-04 eta: 6:28:24 time: 0.336917 data_time: 0.030929 memory: 4563 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.765000 2023/08/09 20:23:37 - mmengine - INFO - Epoch(train) [8][220/327] lr: 5.000000e-04 eta: 6:28:17 time: 0.338464 data_time: 0.031044 memory: 4563 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.749383 2023/08/09 20:23:40 - mmengine - INFO - Epoch(train) [8][230/327] lr: 5.000000e-04 eta: 6:28:09 time: 0.339225 data_time: 0.031863 memory: 4563 loss: 0.001109 loss_kpt: 0.001109 acc_pose: 0.867611 2023/08/09 20:23:44 - mmengine - INFO - Epoch(train) [8][240/327] lr: 5.000000e-04 eta: 6:28:01 time: 0.338839 data_time: 0.032134 memory: 4563 loss: 0.001112 loss_kpt: 0.001112 acc_pose: 0.876802 2023/08/09 20:23:47 - mmengine - INFO - Epoch(train) [8][250/327] lr: 5.000000e-04 eta: 6:27:53 time: 0.336054 data_time: 0.032506 memory: 4563 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.814418 2023/08/09 20:23:50 - mmengine - INFO - Epoch(train) [8][260/327] lr: 5.000000e-04 eta: 6:27:45 time: 0.335977 data_time: 0.032890 memory: 4563 loss: 0.001112 loss_kpt: 0.001112 acc_pose: 0.705460 2023/08/09 20:23:54 - mmengine - INFO - Epoch(train) [8][270/327] lr: 5.000000e-04 eta: 6:27:37 time: 0.334883 data_time: 0.033158 memory: 4563 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.774277 2023/08/09 20:23:57 - mmengine - INFO - Epoch(train) [8][280/327] lr: 5.000000e-04 eta: 6:27:30 time: 0.335233 data_time: 0.032646 memory: 4563 loss: 0.001150 loss_kpt: 0.001150 acc_pose: 0.660108 2023/08/09 20:24:00 - mmengine - INFO - Epoch(train) [8][290/327] lr: 5.000000e-04 eta: 6:27:22 time: 0.335478 data_time: 0.032287 memory: 4563 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.792656 2023/08/09 20:24:04 - mmengine - INFO - Epoch(train) [8][300/327] lr: 5.000000e-04 eta: 6:27:24 time: 0.343277 data_time: 0.035063 memory: 4563 loss: 0.001147 loss_kpt: 0.001147 acc_pose: 0.710855 2023/08/09 20:24:08 - mmengine - INFO - Epoch(train) [8][310/327] lr: 5.000000e-04 eta: 6:27:31 time: 0.354205 data_time: 0.035161 memory: 4563 loss: 0.001154 loss_kpt: 0.001154 acc_pose: 0.656019 2023/08/09 20:24:12 - mmengine - INFO - Epoch(train) [8][320/327] lr: 5.000000e-04 eta: 6:27:34 time: 0.363141 data_time: 0.034930 memory: 4563 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.733654 2023/08/09 20:24:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:24:18 - mmengine - INFO - Epoch(train) [9][ 10/327] lr: 5.000000e-04 eta: 6:27:38 time: 0.375728 data_time: 0.038432 memory: 4563 loss: 0.001143 loss_kpt: 0.001143 acc_pose: 0.791321 2023/08/09 20:24:22 - mmengine - INFO - Epoch(train) [9][ 20/327] lr: 5.000000e-04 eta: 6:27:33 time: 0.373317 data_time: 0.035578 memory: 4563 loss: 0.001156 loss_kpt: 0.001156 acc_pose: 0.747537 2023/08/09 20:24:25 - mmengine - INFO - Epoch(train) [9][ 30/327] lr: 5.000000e-04 eta: 6:27:28 time: 0.364349 data_time: 0.035725 memory: 4563 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.768008 2023/08/09 20:24:29 - mmengine - INFO - Epoch(train) [9][ 40/327] lr: 5.000000e-04 eta: 6:27:23 time: 0.357431 data_time: 0.036173 memory: 4563 loss: 0.001122 loss_kpt: 0.001122 acc_pose: 0.855548 2023/08/09 20:24:32 - mmengine - INFO - Epoch(train) [9][ 50/327] lr: 5.000000e-04 eta: 6:27:17 time: 0.352069 data_time: 0.037294 memory: 4563 loss: 0.001110 loss_kpt: 0.001110 acc_pose: 0.771561 2023/08/09 20:24:35 - mmengine - INFO - Epoch(train) [9][ 60/327] lr: 5.000000e-04 eta: 6:27:10 time: 0.344314 data_time: 0.032706 memory: 4563 loss: 0.001102 loss_kpt: 0.001102 acc_pose: 0.764764 2023/08/09 20:24:39 - mmengine - INFO - Epoch(train) [9][ 70/327] lr: 5.000000e-04 eta: 6:27:04 time: 0.342449 data_time: 0.032232 memory: 4563 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.775514 2023/08/09 20:24:42 - mmengine - INFO - Epoch(train) [9][ 80/327] lr: 5.000000e-04 eta: 6:26:58 time: 0.341928 data_time: 0.031711 memory: 4563 loss: 0.001064 loss_kpt: 0.001064 acc_pose: 0.707143 2023/08/09 20:24:46 - mmengine - INFO - Epoch(train) [9][ 90/327] lr: 5.000000e-04 eta: 6:26:55 time: 0.343455 data_time: 0.031424 memory: 4563 loss: 0.001080 loss_kpt: 0.001080 acc_pose: 0.706672 2023/08/09 20:24:49 - mmengine - INFO - Epoch(train) [9][100/327] lr: 5.000000e-04 eta: 6:26:50 time: 0.344533 data_time: 0.031381 memory: 4563 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.765713 2023/08/09 20:24:53 - mmengine - INFO - Epoch(train) [9][110/327] lr: 5.000000e-04 eta: 6:26:46 time: 0.346752 data_time: 0.031675 memory: 4563 loss: 0.001121 loss_kpt: 0.001121 acc_pose: 0.696774 2023/08/09 20:24:56 - mmengine - INFO - Epoch(train) [9][120/327] lr: 5.000000e-04 eta: 6:26:43 time: 0.349768 data_time: 0.031530 memory: 4563 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.668222 2023/08/09 20:25:00 - mmengine - INFO - Epoch(train) [9][130/327] lr: 5.000000e-04 eta: 6:26:40 time: 0.351261 data_time: 0.031316 memory: 4563 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.824964 2023/08/09 20:25:03 - mmengine - INFO - Epoch(train) [9][140/327] lr: 5.000000e-04 eta: 6:26:35 time: 0.349976 data_time: 0.030807 memory: 4563 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.780343 2023/08/09 20:25:07 - mmengine - INFO - Epoch(train) [9][150/327] lr: 5.000000e-04 eta: 6:26:30 time: 0.349478 data_time: 0.030760 memory: 4563 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.645092 2023/08/09 20:25:10 - mmengine - INFO - Epoch(train) [9][160/327] lr: 5.000000e-04 eta: 6:26:30 time: 0.352962 data_time: 0.031566 memory: 4563 loss: 0.001110 loss_kpt: 0.001110 acc_pose: 0.786874 2023/08/09 20:25:14 - mmengine - INFO - Epoch(train) [9][170/327] lr: 5.000000e-04 eta: 6:26:36 time: 0.360642 data_time: 0.032121 memory: 4563 loss: 0.001118 loss_kpt: 0.001118 acc_pose: 0.814332 2023/08/09 20:25:18 - mmengine - INFO - Epoch(train) [9][180/327] lr: 5.000000e-04 eta: 6:26:40 time: 0.366587 data_time: 0.031743 memory: 4563 loss: 0.001133 loss_kpt: 0.001133 acc_pose: 0.806456 2023/08/09 20:25:22 - mmengine - INFO - Epoch(train) [9][190/327] lr: 5.000000e-04 eta: 6:26:43 time: 0.373893 data_time: 0.031609 memory: 4563 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.766160 2023/08/09 20:25:26 - mmengine - INFO - Epoch(train) [9][200/327] lr: 5.000000e-04 eta: 6:26:45 time: 0.380311 data_time: 0.031228 memory: 4563 loss: 0.001098 loss_kpt: 0.001098 acc_pose: 0.740625 2023/08/09 20:25:29 - mmengine - INFO - Epoch(train) [9][210/327] lr: 5.000000e-04 eta: 6:26:49 time: 0.383575 data_time: 0.030244 memory: 4563 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.789530 2023/08/09 20:25:33 - mmengine - INFO - Epoch(train) [9][220/327] lr: 5.000000e-04 eta: 6:26:47 time: 0.376436 data_time: 0.030064 memory: 4563 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.871073 2023/08/09 20:25:37 - mmengine - INFO - Epoch(train) [9][230/327] lr: 5.000000e-04 eta: 6:26:42 time: 0.369297 data_time: 0.030865 memory: 4563 loss: 0.001086 loss_kpt: 0.001086 acc_pose: 0.820275 2023/08/09 20:25:40 - mmengine - INFO - Epoch(train) [9][240/327] lr: 5.000000e-04 eta: 6:26:37 time: 0.362080 data_time: 0.030815 memory: 4563 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.745890 2023/08/09 20:25:43 - mmengine - INFO - Epoch(train) [9][250/327] lr: 5.000000e-04 eta: 6:26:32 time: 0.355953 data_time: 0.030990 memory: 4563 loss: 0.001138 loss_kpt: 0.001138 acc_pose: 0.731577 2023/08/09 20:25:47 - mmengine - INFO - Epoch(train) [9][260/327] lr: 5.000000e-04 eta: 6:26:27 time: 0.348898 data_time: 0.030774 memory: 4563 loss: 0.001148 loss_kpt: 0.001148 acc_pose: 0.775000 2023/08/09 20:25:51 - mmengine - INFO - Epoch(train) [9][270/327] lr: 5.000000e-04 eta: 6:26:27 time: 0.350931 data_time: 0.033742 memory: 4563 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.679668 2023/08/09 20:25:54 - mmengine - INFO - Epoch(train) [9][280/327] lr: 5.000000e-04 eta: 6:26:23 time: 0.351865 data_time: 0.033181 memory: 4563 loss: 0.001153 loss_kpt: 0.001153 acc_pose: 0.780225 2023/08/09 20:25:58 - mmengine - INFO - Epoch(train) [9][290/327] lr: 5.000000e-04 eta: 6:26:18 time: 0.351803 data_time: 0.033663 memory: 4563 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.790238 2023/08/09 20:26:01 - mmengine - INFO - Epoch(train) [9][300/327] lr: 5.000000e-04 eta: 6:26:14 time: 0.352054 data_time: 0.033806 memory: 4563 loss: 0.001116 loss_kpt: 0.001116 acc_pose: 0.841843 2023/08/09 20:26:04 - mmengine - INFO - Epoch(train) [9][310/327] lr: 5.000000e-04 eta: 6:26:08 time: 0.351147 data_time: 0.034195 memory: 4563 loss: 0.001126 loss_kpt: 0.001126 acc_pose: 0.822782 2023/08/09 20:26:08 - mmengine - INFO - Epoch(train) [9][320/327] lr: 5.000000e-04 eta: 6:26:05 time: 0.348666 data_time: 0.031472 memory: 4563 loss: 0.001134 loss_kpt: 0.001134 acc_pose: 0.813704 2023/08/09 20:26:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:26:14 - mmengine - INFO - Epoch(train) [10][ 10/327] lr: 5.000000e-04 eta: 6:25:56 time: 0.346893 data_time: 0.034335 memory: 4563 loss: 0.001156 loss_kpt: 0.001156 acc_pose: 0.830706 2023/08/09 20:26:17 - mmengine - INFO - Epoch(train) [10][ 20/327] lr: 5.000000e-04 eta: 6:25:49 time: 0.344689 data_time: 0.034147 memory: 4563 loss: 0.001161 loss_kpt: 0.001161 acc_pose: 0.710119 2023/08/09 20:26:21 - mmengine - INFO - Epoch(train) [10][ 30/327] lr: 5.000000e-04 eta: 6:25:50 time: 0.350069 data_time: 0.034362 memory: 4563 loss: 0.001145 loss_kpt: 0.001145 acc_pose: 0.738727 2023/08/09 20:26:24 - mmengine - INFO - Epoch(train) [10][ 40/327] lr: 5.000000e-04 eta: 6:25:46 time: 0.348699 data_time: 0.034002 memory: 4563 loss: 0.001147 loss_kpt: 0.001147 acc_pose: 0.814603 2023/08/09 20:26:28 - mmengine - INFO - Epoch(train) [10][ 50/327] lr: 5.000000e-04 eta: 6:25:44 time: 0.354679 data_time: 0.035239 memory: 4563 loss: 0.001150 loss_kpt: 0.001150 acc_pose: 0.806229 2023/08/09 20:26:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:26:32 - mmengine - INFO - Epoch(train) [10][ 60/327] lr: 5.000000e-04 eta: 6:25:40 time: 0.353867 data_time: 0.031281 memory: 4563 loss: 0.001147 loss_kpt: 0.001147 acc_pose: 0.731878 2023/08/09 20:26:35 - mmengine - INFO - Epoch(train) [10][ 70/327] lr: 5.000000e-04 eta: 6:25:33 time: 0.353243 data_time: 0.031125 memory: 4563 loss: 0.001124 loss_kpt: 0.001124 acc_pose: 0.806766 2023/08/09 20:26:38 - mmengine - INFO - Epoch(train) [10][ 80/327] lr: 5.000000e-04 eta: 6:25:25 time: 0.345556 data_time: 0.031011 memory: 4563 loss: 0.001094 loss_kpt: 0.001094 acc_pose: 0.871330 2023/08/09 20:26:42 - mmengine - INFO - Epoch(train) [10][ 90/327] lr: 5.000000e-04 eta: 6:25:19 time: 0.343884 data_time: 0.031700 memory: 4563 loss: 0.001085 loss_kpt: 0.001085 acc_pose: 0.831084 2023/08/09 20:26:45 - mmengine - INFO - Epoch(train) [10][100/327] lr: 5.000000e-04 eta: 6:25:14 time: 0.340373 data_time: 0.031492 memory: 4563 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.855751 2023/08/09 20:26:49 - mmengine - INFO - Epoch(train) [10][110/327] lr: 5.000000e-04 eta: 6:25:07 time: 0.338107 data_time: 0.031528 memory: 4563 loss: 0.001032 loss_kpt: 0.001032 acc_pose: 0.758750 2023/08/09 20:26:52 - mmengine - INFO - Epoch(train) [10][120/327] lr: 5.000000e-04 eta: 6:25:04 time: 0.342014 data_time: 0.032003 memory: 4563 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.820690 2023/08/09 20:26:56 - mmengine - INFO - Epoch(train) [10][130/327] lr: 5.000000e-04 eta: 6:25:00 time: 0.344776 data_time: 0.034421 memory: 4563 loss: 0.001072 loss_kpt: 0.001072 acc_pose: 0.811233 2023/08/09 20:26:59 - mmengine - INFO - Epoch(train) [10][140/327] lr: 5.000000e-04 eta: 6:24:54 time: 0.345769 data_time: 0.033651 memory: 4563 loss: 0.001096 loss_kpt: 0.001096 acc_pose: 0.869814 2023/08/09 20:27:02 - mmengine - INFO - Epoch(train) [10][150/327] lr: 5.000000e-04 eta: 6:24:47 time: 0.343509 data_time: 0.033438 memory: 4563 loss: 0.001122 loss_kpt: 0.001122 acc_pose: 0.773737 2023/08/09 20:27:06 - mmengine - INFO - Epoch(train) [10][160/327] lr: 5.000000e-04 eta: 6:24:40 time: 0.343375 data_time: 0.033343 memory: 4563 loss: 0.001157 loss_kpt: 0.001157 acc_pose: 0.807407 2023/08/09 20:27:09 - mmengine - INFO - Epoch(train) [10][170/327] lr: 5.000000e-04 eta: 6:24:37 time: 0.343333 data_time: 0.033247 memory: 4563 loss: 0.001160 loss_kpt: 0.001160 acc_pose: 0.818131 2023/08/09 20:27:13 - mmengine - INFO - Epoch(train) [10][180/327] lr: 5.000000e-04 eta: 6:24:32 time: 0.342388 data_time: 0.030511 memory: 4563 loss: 0.001146 loss_kpt: 0.001146 acc_pose: 0.828497 2023/08/09 20:27:16 - mmengine - INFO - Epoch(train) [10][190/327] lr: 5.000000e-04 eta: 6:24:28 time: 0.343522 data_time: 0.030888 memory: 4563 loss: 0.001112 loss_kpt: 0.001112 acc_pose: 0.852343 2023/08/09 20:27:19 - mmengine - INFO - Epoch(train) [10][200/327] lr: 5.000000e-04 eta: 6:24:20 time: 0.343464 data_time: 0.031047 memory: 4563 loss: 0.001120 loss_kpt: 0.001120 acc_pose: 0.776736 2023/08/09 20:27:23 - mmengine - INFO - Epoch(train) [10][210/327] lr: 5.000000e-04 eta: 6:24:13 time: 0.342112 data_time: 0.031186 memory: 4563 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.818847 2023/08/09 20:27:26 - mmengine - INFO - Epoch(train) [10][220/327] lr: 5.000000e-04 eta: 6:24:05 time: 0.337861 data_time: 0.030994 memory: 4563 loss: 0.001071 loss_kpt: 0.001071 acc_pose: 0.798243 2023/08/09 20:27:30 - mmengine - INFO - Epoch(train) [10][230/327] lr: 5.000000e-04 eta: 6:23:59 time: 0.337552 data_time: 0.031103 memory: 4563 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.790339 2023/08/09 20:27:33 - mmengine - INFO - Epoch(train) [10][240/327] lr: 5.000000e-04 eta: 6:23:53 time: 0.335583 data_time: 0.031056 memory: 4563 loss: 0.001102 loss_kpt: 0.001102 acc_pose: 0.820530 2023/08/09 20:27:36 - mmengine - INFO - Epoch(train) [10][250/327] lr: 5.000000e-04 eta: 6:23:46 time: 0.336021 data_time: 0.030992 memory: 4563 loss: 0.001080 loss_kpt: 0.001080 acc_pose: 0.822126 2023/08/09 20:27:40 - mmengine - INFO - Epoch(train) [10][260/327] lr: 5.000000e-04 eta: 6:23:41 time: 0.337812 data_time: 0.031183 memory: 4563 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.701509 2023/08/09 20:27:43 - mmengine - INFO - Epoch(train) [10][270/327] lr: 5.000000e-04 eta: 6:23:34 time: 0.338816 data_time: 0.031369 memory: 4563 loss: 0.001130 loss_kpt: 0.001130 acc_pose: 0.795830 2023/08/09 20:27:46 - mmengine - INFO - Epoch(train) [10][280/327] lr: 5.000000e-04 eta: 6:23:27 time: 0.337739 data_time: 0.031120 memory: 4563 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.859515 2023/08/09 20:27:50 - mmengine - INFO - Epoch(train) [10][290/327] lr: 5.000000e-04 eta: 6:23:24 time: 0.339656 data_time: 0.030923 memory: 4563 loss: 0.001084 loss_kpt: 0.001084 acc_pose: 0.798434 2023/08/09 20:27:53 - mmengine - INFO - Epoch(train) [10][300/327] lr: 5.000000e-04 eta: 6:23:17 time: 0.340043 data_time: 0.030960 memory: 4563 loss: 0.001086 loss_kpt: 0.001086 acc_pose: 0.756055 2023/08/09 20:27:57 - mmengine - INFO - Epoch(train) [10][310/327] lr: 5.000000e-04 eta: 6:23:11 time: 0.339853 data_time: 0.030751 memory: 4563 loss: 0.001100 loss_kpt: 0.001100 acc_pose: 0.766146 2023/08/09 20:28:00 - mmengine - INFO - Epoch(train) [10][320/327] lr: 5.000000e-04 eta: 6:23:07 time: 0.342441 data_time: 0.030695 memory: 4563 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.791782 2023/08/09 20:28:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:28:03 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/08/09 20:28:08 - mmengine - INFO - Epoch(val) [10][10/79] eta: 0:00:16 time: 0.233787 data_time: 0.047823 memory: 4563 2023/08/09 20:28:10 - mmengine - INFO - Epoch(val) [10][20/79] eta: 0:00:12 time: 0.214081 data_time: 0.029321 memory: 1634 2023/08/09 20:28:12 - mmengine - INFO - Epoch(val) [10][30/79] eta: 0:00:10 time: 0.207414 data_time: 0.023160 memory: 1634 2023/08/09 20:28:14 - mmengine - INFO - Epoch(val) [10][40/79] eta: 0:00:07 time: 0.204095 data_time: 0.020040 memory: 1634 2023/08/09 20:28:16 - mmengine - INFO - Epoch(val) [10][50/79] eta: 0:00:05 time: 0.202198 data_time: 0.018200 memory: 1634 2023/08/09 20:28:18 - mmengine - INFO - Epoch(val) [10][60/79] eta: 0:00:03 time: 0.194271 data_time: 0.010748 memory: 1634 2023/08/09 20:28:20 - mmengine - INFO - Epoch(val) [10][70/79] eta: 0:00:01 time: 0.194315 data_time: 0.010825 memory: 1634 2023/08/09 20:28:22 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 20:28:22 - mmengine - INFO - Evaluating AUC... 2023/08/09 20:28:22 - mmengine - INFO - Evaluating EPE... 2023/08/09 20:28:22 - mmengine - INFO - Epoch(val) [10][79/79] PCK: 0.957812 AUC: 0.715218 EPE: 11.880704 data_time: 0.015467 time: 0.198446 2023/08/09 20:28:24 - mmengine - INFO - The best checkpoint with 0.7152 AUC at 10 epoch is saved to best_AUC_epoch_10.pth. 2023/08/09 20:28:32 - mmengine - INFO - Epoch(train) [11][ 10/327] lr: 5.000000e-04 eta: 6:23:00 time: 0.343609 data_time: 0.034467 memory: 4563 loss: 0.001126 loss_kpt: 0.001126 acc_pose: 0.770977 2023/08/09 20:28:35 - mmengine - INFO - Epoch(train) [11][ 20/327] lr: 5.000000e-04 eta: 6:22:53 time: 0.343268 data_time: 0.034754 memory: 4563 loss: 0.001140 loss_kpt: 0.001140 acc_pose: 0.835648 2023/08/09 20:28:38 - mmengine - INFO - Epoch(train) [11][ 30/327] lr: 5.000000e-04 eta: 6:22:49 time: 0.345367 data_time: 0.034524 memory: 4563 loss: 0.001103 loss_kpt: 0.001103 acc_pose: 0.705754 2023/08/09 20:28:42 - mmengine - INFO - Epoch(train) [11][ 40/327] lr: 5.000000e-04 eta: 6:22:42 time: 0.343169 data_time: 0.034496 memory: 4563 loss: 0.001118 loss_kpt: 0.001118 acc_pose: 0.666793 2023/08/09 20:28:45 - mmengine - INFO - Epoch(train) [11][ 50/327] lr: 5.000000e-04 eta: 6:22:37 time: 0.344029 data_time: 0.034774 memory: 4563 loss: 0.001090 loss_kpt: 0.001090 acc_pose: 0.858374 2023/08/09 20:28:49 - mmengine - INFO - Epoch(train) [11][ 60/327] lr: 5.000000e-04 eta: 6:22:33 time: 0.341936 data_time: 0.031224 memory: 4563 loss: 0.001088 loss_kpt: 0.001088 acc_pose: 0.686931 2023/08/09 20:28:52 - mmengine - INFO - Epoch(train) [11][ 70/327] lr: 5.000000e-04 eta: 6:22:28 time: 0.343122 data_time: 0.031561 memory: 4563 loss: 0.001074 loss_kpt: 0.001074 acc_pose: 0.866197 2023/08/09 20:28:56 - mmengine - INFO - Epoch(train) [11][ 80/327] lr: 5.000000e-04 eta: 6:22:23 time: 0.342787 data_time: 0.031723 memory: 4563 loss: 0.001071 loss_kpt: 0.001071 acc_pose: 0.830357 2023/08/09 20:28:59 - mmengine - INFO - Epoch(train) [11][ 90/327] lr: 5.000000e-04 eta: 6:22:16 time: 0.342723 data_time: 0.031968 memory: 4563 loss: 0.001079 loss_kpt: 0.001079 acc_pose: 0.849174 2023/08/09 20:29:02 - mmengine - INFO - Epoch(train) [11][100/327] lr: 5.000000e-04 eta: 6:22:10 time: 0.340933 data_time: 0.032460 memory: 4563 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.885582 2023/08/09 20:29:06 - mmengine - INFO - Epoch(train) [11][110/327] lr: 5.000000e-04 eta: 6:22:03 time: 0.337953 data_time: 0.032330 memory: 4563 loss: 0.001064 loss_kpt: 0.001064 acc_pose: 0.751243 2023/08/09 20:29:09 - mmengine - INFO - Epoch(train) [11][120/327] lr: 5.000000e-04 eta: 6:21:56 time: 0.337007 data_time: 0.031892 memory: 4563 loss: 0.001065 loss_kpt: 0.001065 acc_pose: 0.844828 2023/08/09 20:29:12 - mmengine - INFO - Epoch(train) [11][130/327] lr: 5.000000e-04 eta: 6:21:51 time: 0.336663 data_time: 0.032778 memory: 4563 loss: 0.001062 loss_kpt: 0.001062 acc_pose: 0.821693 2023/08/09 20:29:16 - mmengine - INFO - Epoch(train) [11][140/327] lr: 5.000000e-04 eta: 6:21:47 time: 0.338489 data_time: 0.032737 memory: 4563 loss: 0.001031 loss_kpt: 0.001031 acc_pose: 0.810958 2023/08/09 20:29:19 - mmengine - INFO - Epoch(train) [11][150/327] lr: 5.000000e-04 eta: 6:21:40 time: 0.338518 data_time: 0.032115 memory: 4563 loss: 0.001053 loss_kpt: 0.001053 acc_pose: 0.770040 2023/08/09 20:29:23 - mmengine - INFO - Epoch(train) [11][160/327] lr: 5.000000e-04 eta: 6:21:34 time: 0.339975 data_time: 0.032116 memory: 4563 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.740205 2023/08/09 20:29:26 - mmengine - INFO - Epoch(train) [11][170/327] lr: 5.000000e-04 eta: 6:21:28 time: 0.339403 data_time: 0.032045 memory: 4563 loss: 0.001069 loss_kpt: 0.001069 acc_pose: 0.818452 2023/08/09 20:29:29 - mmengine - INFO - Epoch(train) [11][180/327] lr: 5.000000e-04 eta: 6:21:21 time: 0.337298 data_time: 0.031139 memory: 4563 loss: 0.001111 loss_kpt: 0.001111 acc_pose: 0.746032 2023/08/09 20:29:33 - mmengine - INFO - Epoch(train) [11][190/327] lr: 5.000000e-04 eta: 6:21:15 time: 0.335671 data_time: 0.030910 memory: 4563 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.833425 2023/08/09 20:29:36 - mmengine - INFO - Epoch(train) [11][200/327] lr: 5.000000e-04 eta: 6:21:09 time: 0.336415 data_time: 0.031082 memory: 4563 loss: 0.001135 loss_kpt: 0.001135 acc_pose: 0.852486 2023/08/09 20:29:40 - mmengine - INFO - Epoch(train) [11][210/327] lr: 5.000000e-04 eta: 6:21:09 time: 0.342152 data_time: 0.031172 memory: 4563 loss: 0.001121 loss_kpt: 0.001121 acc_pose: 0.784561 2023/08/09 20:29:43 - mmengine - INFO - Epoch(train) [11][220/327] lr: 5.000000e-04 eta: 6:21:02 time: 0.341824 data_time: 0.031252 memory: 4563 loss: 0.001127 loss_kpt: 0.001127 acc_pose: 0.896449 2023/08/09 20:29:47 - mmengine - INFO - Epoch(train) [11][230/327] lr: 5.000000e-04 eta: 6:20:57 time: 0.344421 data_time: 0.031181 memory: 4563 loss: 0.001095 loss_kpt: 0.001095 acc_pose: 0.750356 2023/08/09 20:29:50 - mmengine - INFO - Epoch(train) [11][240/327] lr: 5.000000e-04 eta: 6:20:51 time: 0.344355 data_time: 0.031043 memory: 4563 loss: 0.001083 loss_kpt: 0.001083 acc_pose: 0.791326 2023/08/09 20:29:53 - mmengine - INFO - Epoch(train) [11][250/327] lr: 5.000000e-04 eta: 6:20:45 time: 0.343645 data_time: 0.031125 memory: 4563 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.827864 2023/08/09 20:29:57 - mmengine - INFO - Epoch(train) [11][260/327] lr: 5.000000e-04 eta: 6:20:40 time: 0.338691 data_time: 0.030777 memory: 4563 loss: 0.001073 loss_kpt: 0.001073 acc_pose: 0.750833 2023/08/09 20:30:00 - mmengine - INFO - Epoch(train) [11][270/327] lr: 5.000000e-04 eta: 6:20:36 time: 0.341821 data_time: 0.030846 memory: 4563 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.803770 2023/08/09 20:30:04 - mmengine - INFO - Epoch(train) [11][280/327] lr: 5.000000e-04 eta: 6:20:32 time: 0.342096 data_time: 0.031864 memory: 4563 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.870567 2023/08/09 20:30:07 - mmengine - INFO - Epoch(train) [11][290/327] lr: 5.000000e-04 eta: 6:20:25 time: 0.341685 data_time: 0.032024 memory: 4563 loss: 0.001086 loss_kpt: 0.001086 acc_pose: 0.676863 2023/08/09 20:30:10 - mmengine - INFO - Epoch(train) [11][300/327] lr: 5.000000e-04 eta: 6:20:20 time: 0.342917 data_time: 0.032055 memory: 4563 loss: 0.001112 loss_kpt: 0.001112 acc_pose: 0.759061 2023/08/09 20:30:14 - mmengine - INFO - Epoch(train) [11][310/327] lr: 5.000000e-04 eta: 6:20:14 time: 0.340890 data_time: 0.031821 memory: 4563 loss: 0.001117 loss_kpt: 0.001117 acc_pose: 0.781415 2023/08/09 20:30:17 - mmengine - INFO - Epoch(train) [11][320/327] lr: 5.000000e-04 eta: 6:20:07 time: 0.338332 data_time: 0.031716 memory: 4563 loss: 0.001107 loss_kpt: 0.001107 acc_pose: 0.709987 2023/08/09 20:30:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:30:23 - mmengine - INFO - Epoch(train) [12][ 10/327] lr: 5.000000e-04 eta: 6:20:01 time: 0.340475 data_time: 0.034942 memory: 4563 loss: 0.001119 loss_kpt: 0.001119 acc_pose: 0.905589 2023/08/09 20:30:27 - mmengine - INFO - Epoch(train) [12][ 20/327] lr: 5.000000e-04 eta: 6:19:57 time: 0.343156 data_time: 0.035582 memory: 4563 loss: 0.001142 loss_kpt: 0.001142 acc_pose: 0.672002 2023/08/09 20:30:30 - mmengine - INFO - Epoch(train) [12][ 30/327] lr: 5.000000e-04 eta: 6:19:52 time: 0.343098 data_time: 0.036167 memory: 4563 loss: 0.001162 loss_kpt: 0.001162 acc_pose: 0.837041 2023/08/09 20:30:33 - mmengine - INFO - Epoch(train) [12][ 40/327] lr: 5.000000e-04 eta: 6:19:46 time: 0.344822 data_time: 0.036221 memory: 4563 loss: 0.001151 loss_kpt: 0.001151 acc_pose: 0.805805 2023/08/09 20:30:37 - mmengine - INFO - Epoch(train) [12][ 50/327] lr: 5.000000e-04 eta: 6:19:40 time: 0.345487 data_time: 0.036206 memory: 4563 loss: 0.001113 loss_kpt: 0.001113 acc_pose: 0.804563 2023/08/09 20:30:40 - mmengine - INFO - Epoch(train) [12][ 60/327] lr: 5.000000e-04 eta: 6:19:33 time: 0.339157 data_time: 0.031822 memory: 4563 loss: 0.001111 loss_kpt: 0.001111 acc_pose: 0.820230 2023/08/09 20:30:44 - mmengine - INFO - Epoch(train) [12][ 70/327] lr: 5.000000e-04 eta: 6:19:30 time: 0.339188 data_time: 0.034330 memory: 4563 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.738095 2023/08/09 20:30:47 - mmengine - INFO - Epoch(train) [12][ 80/327] lr: 5.000000e-04 eta: 6:19:25 time: 0.340228 data_time: 0.034000 memory: 4563 loss: 0.001058 loss_kpt: 0.001058 acc_pose: 0.818280 2023/08/09 20:30:50 - mmengine - INFO - Epoch(train) [12][ 90/327] lr: 5.000000e-04 eta: 6:19:20 time: 0.340194 data_time: 0.034129 memory: 4563 loss: 0.001061 loss_kpt: 0.001061 acc_pose: 0.846552 2023/08/09 20:30:54 - mmengine - INFO - Epoch(train) [12][100/327] lr: 5.000000e-04 eta: 6:19:14 time: 0.340274 data_time: 0.034340 memory: 4563 loss: 0.001077 loss_kpt: 0.001077 acc_pose: 0.812534 2023/08/09 20:30:57 - mmengine - INFO - Epoch(train) [12][110/327] lr: 5.000000e-04 eta: 6:19:08 time: 0.341089 data_time: 0.034399 memory: 4563 loss: 0.001104 loss_kpt: 0.001104 acc_pose: 0.800185 2023/08/09 20:31:00 - mmengine - INFO - Epoch(train) [12][120/327] lr: 5.000000e-04 eta: 6:19:03 time: 0.339335 data_time: 0.030906 memory: 4563 loss: 0.001092 loss_kpt: 0.001092 acc_pose: 0.723955 2023/08/09 20:31:04 - mmengine - INFO - Epoch(train) [12][130/327] lr: 5.000000e-04 eta: 6:18:56 time: 0.336994 data_time: 0.030752 memory: 4563 loss: 0.001093 loss_kpt: 0.001093 acc_pose: 0.809029 2023/08/09 20:31:07 - mmengine - INFO - Epoch(train) [12][140/327] lr: 5.000000e-04 eta: 6:18:50 time: 0.336147 data_time: 0.031352 memory: 4563 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.837140 2023/08/09 20:31:11 - mmengine - INFO - Epoch(train) [12][150/327] lr: 5.000000e-04 eta: 6:18:46 time: 0.338626 data_time: 0.031533 memory: 4563 loss: 0.001076 loss_kpt: 0.001076 acc_pose: 0.686313 2023/08/09 20:31:14 - mmengine - INFO - Epoch(train) [12][160/327] lr: 5.000000e-04 eta: 6:18:42 time: 0.340455 data_time: 0.031512 memory: 4563 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.815771 2023/08/09 20:31:18 - mmengine - INFO - Epoch(train) [12][170/327] lr: 5.000000e-04 eta: 6:18:39 time: 0.343572 data_time: 0.031783 memory: 4563 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.825732 2023/08/09 20:31:21 - mmengine - INFO - Epoch(train) [12][180/327] lr: 5.000000e-04 eta: 6:18:33 time: 0.343937 data_time: 0.031638 memory: 4563 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.892857 2023/08/09 20:31:24 - mmengine - INFO - Epoch(train) [12][190/327] lr: 5.000000e-04 eta: 6:18:28 time: 0.344191 data_time: 0.031132 memory: 4563 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.838510 2023/08/09 20:31:28 - mmengine - INFO - Epoch(train) [12][200/327] lr: 5.000000e-04 eta: 6:18:23 time: 0.343165 data_time: 0.031225 memory: 4563 loss: 0.001060 loss_kpt: 0.001060 acc_pose: 0.754310 2023/08/09 20:31:31 - mmengine - INFO - Epoch(train) [12][210/327] lr: 5.000000e-04 eta: 6:18:20 time: 0.345507 data_time: 0.031213 memory: 4563 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.790517 2023/08/09 20:31:35 - mmengine - INFO - Epoch(train) [12][220/327] lr: 5.000000e-04 eta: 6:18:21 time: 0.348572 data_time: 0.034383 memory: 4563 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.737179 2023/08/09 20:31:38 - mmengine - INFO - Epoch(train) [12][230/327] lr: 5.000000e-04 eta: 6:18:16 time: 0.350000 data_time: 0.034487 memory: 4563 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.797522 2023/08/09 20:31:42 - mmengine - INFO - Epoch(train) [12][240/327] lr: 5.000000e-04 eta: 6:18:14 time: 0.354057 data_time: 0.034876 memory: 4563 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.776465 2023/08/09 20:31:46 - mmengine - INFO - Epoch(train) [12][250/327] lr: 5.000000e-04 eta: 6:18:10 time: 0.355305 data_time: 0.034586 memory: 4563 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.770012 2023/08/09 20:31:49 - mmengine - INFO - Epoch(train) [12][260/327] lr: 5.000000e-04 eta: 6:18:06 time: 0.353784 data_time: 0.034662 memory: 4563 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.804589 2023/08/09 20:31:53 - mmengine - INFO - Epoch(train) [12][270/327] lr: 5.000000e-04 eta: 6:18:03 time: 0.349937 data_time: 0.031940 memory: 4563 loss: 0.001041 loss_kpt: 0.001041 acc_pose: 0.860679 2023/08/09 20:31:56 - mmengine - INFO - Epoch(train) [12][280/327] lr: 5.000000e-04 eta: 6:18:00 time: 0.351930 data_time: 0.032019 memory: 4563 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.758333 2023/08/09 20:32:00 - mmengine - INFO - Epoch(train) [12][290/327] lr: 5.000000e-04 eta: 6:17:56 time: 0.350139 data_time: 0.032227 memory: 4563 loss: 0.001059 loss_kpt: 0.001059 acc_pose: 0.819855 2023/08/09 20:32:03 - mmengine - INFO - Epoch(train) [12][300/327] lr: 5.000000e-04 eta: 6:17:53 time: 0.350668 data_time: 0.032330 memory: 4563 loss: 0.001053 loss_kpt: 0.001053 acc_pose: 0.798544 2023/08/09 20:32:07 - mmengine - INFO - Epoch(train) [12][310/327] lr: 5.000000e-04 eta: 6:17:50 time: 0.351800 data_time: 0.033116 memory: 4563 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.777976 2023/08/09 20:32:10 - mmengine - INFO - Epoch(train) [12][320/327] lr: 5.000000e-04 eta: 6:17:45 time: 0.349629 data_time: 0.033078 memory: 4563 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.822126 2023/08/09 20:32:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:32:16 - mmengine - INFO - Epoch(train) [13][ 10/327] lr: 5.000000e-04 eta: 6:17:38 time: 0.347137 data_time: 0.036479 memory: 4563 loss: 0.001056 loss_kpt: 0.001056 acc_pose: 0.826752 2023/08/09 20:32:19 - mmengine - INFO - Epoch(train) [13][ 20/327] lr: 5.000000e-04 eta: 6:17:32 time: 0.344567 data_time: 0.036504 memory: 4563 loss: 0.001063 loss_kpt: 0.001063 acc_pose: 0.825252 2023/08/09 20:32:23 - mmengine - INFO - Epoch(train) [13][ 30/327] lr: 5.000000e-04 eta: 6:17:30 time: 0.345812 data_time: 0.039235 memory: 4563 loss: 0.001053 loss_kpt: 0.001053 acc_pose: 0.779333 2023/08/09 20:32:26 - mmengine - INFO - Epoch(train) [13][ 40/327] lr: 5.000000e-04 eta: 6:17:25 time: 0.344997 data_time: 0.039017 memory: 4563 loss: 0.001066 loss_kpt: 0.001066 acc_pose: 0.761574 2023/08/09 20:32:30 - mmengine - INFO - Epoch(train) [13][ 50/327] lr: 5.000000e-04 eta: 6:17:21 time: 0.346909 data_time: 0.039287 memory: 4563 loss: 0.001055 loss_kpt: 0.001055 acc_pose: 0.837282 2023/08/09 20:32:33 - mmengine - INFO - Epoch(train) [13][ 60/327] lr: 5.000000e-04 eta: 6:17:15 time: 0.342512 data_time: 0.035460 memory: 4563 loss: 0.001050 loss_kpt: 0.001050 acc_pose: 0.855554 2023/08/09 20:32:36 - mmengine - INFO - Epoch(train) [13][ 70/327] lr: 5.000000e-04 eta: 6:17:09 time: 0.343095 data_time: 0.035865 memory: 4563 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.793743 2023/08/09 20:32:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:32:40 - mmengine - INFO - Epoch(train) [13][ 80/327] lr: 5.000000e-04 eta: 6:17:04 time: 0.338528 data_time: 0.032625 memory: 4563 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.803709 2023/08/09 20:32:43 - mmengine - INFO - Epoch(train) [13][ 90/327] lr: 5.000000e-04 eta: 6:16:57 time: 0.337550 data_time: 0.032510 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.892877 2023/08/09 20:32:47 - mmengine - INFO - Epoch(train) [13][100/327] lr: 5.000000e-04 eta: 6:16:55 time: 0.339746 data_time: 0.032223 memory: 4563 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.835796 2023/08/09 20:32:50 - mmengine - INFO - Epoch(train) [13][110/327] lr: 5.000000e-04 eta: 6:16:50 time: 0.341099 data_time: 0.032171 memory: 4563 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.843817 2023/08/09 20:32:54 - mmengine - INFO - Epoch(train) [13][120/327] lr: 5.000000e-04 eta: 6:16:46 time: 0.343130 data_time: 0.031925 memory: 4563 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.905053 2023/08/09 20:32:57 - mmengine - INFO - Epoch(train) [13][130/327] lr: 5.000000e-04 eta: 6:16:42 time: 0.344994 data_time: 0.031536 memory: 4563 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.746997 2023/08/09 20:33:01 - mmengine - INFO - Epoch(train) [13][140/327] lr: 5.000000e-04 eta: 6:16:38 time: 0.347518 data_time: 0.031594 memory: 4563 loss: 0.001052 loss_kpt: 0.001052 acc_pose: 0.847414 2023/08/09 20:33:04 - mmengine - INFO - Epoch(train) [13][150/327] lr: 5.000000e-04 eta: 6:16:33 time: 0.343793 data_time: 0.031121 memory: 4563 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.814655 2023/08/09 20:33:07 - mmengine - INFO - Epoch(train) [13][160/327] lr: 5.000000e-04 eta: 6:16:27 time: 0.343252 data_time: 0.030496 memory: 4563 loss: 0.001053 loss_kpt: 0.001053 acc_pose: 0.668203 2023/08/09 20:33:11 - mmengine - INFO - Epoch(train) [13][170/327] lr: 5.000000e-04 eta: 6:16:26 time: 0.345497 data_time: 0.030535 memory: 4563 loss: 0.001054 loss_kpt: 0.001054 acc_pose: 0.848790 2023/08/09 20:33:14 - mmengine - INFO - Epoch(train) [13][180/327] lr: 5.000000e-04 eta: 6:16:20 time: 0.343605 data_time: 0.031146 memory: 4563 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.791768 2023/08/09 20:33:18 - mmengine - INFO - Epoch(train) [13][190/327] lr: 5.000000e-04 eta: 6:16:15 time: 0.342676 data_time: 0.031487 memory: 4563 loss: 0.001014 loss_kpt: 0.001014 acc_pose: 0.810796 2023/08/09 20:33:21 - mmengine - INFO - Epoch(train) [13][200/327] lr: 5.000000e-04 eta: 6:16:09 time: 0.341574 data_time: 0.031469 memory: 4563 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.882684 2023/08/09 20:33:24 - mmengine - INFO - Epoch(train) [13][210/327] lr: 5.000000e-04 eta: 6:16:05 time: 0.343430 data_time: 0.031487 memory: 4563 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.727425 2023/08/09 20:33:28 - mmengine - INFO - Epoch(train) [13][220/327] lr: 5.000000e-04 eta: 6:15:59 time: 0.337676 data_time: 0.031089 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.840306 2023/08/09 20:33:31 - mmengine - INFO - Epoch(train) [13][230/327] lr: 5.000000e-04 eta: 6:15:53 time: 0.337733 data_time: 0.030654 memory: 4563 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.775255 2023/08/09 20:33:35 - mmengine - INFO - Epoch(train) [13][240/327] lr: 5.000000e-04 eta: 6:15:49 time: 0.338763 data_time: 0.030148 memory: 4563 loss: 0.001061 loss_kpt: 0.001061 acc_pose: 0.840104 2023/08/09 20:33:38 - mmengine - INFO - Epoch(train) [13][250/327] lr: 5.000000e-04 eta: 6:15:44 time: 0.340675 data_time: 0.030328 memory: 4563 loss: 0.001076 loss_kpt: 0.001076 acc_pose: 0.795977 2023/08/09 20:33:41 - mmengine - INFO - Epoch(train) [13][260/327] lr: 5.000000e-04 eta: 6:15:39 time: 0.339321 data_time: 0.030475 memory: 4563 loss: 0.001094 loss_kpt: 0.001094 acc_pose: 0.800493 2023/08/09 20:33:45 - mmengine - INFO - Epoch(train) [13][270/327] lr: 5.000000e-04 eta: 6:15:34 time: 0.339669 data_time: 0.030468 memory: 4563 loss: 0.001091 loss_kpt: 0.001091 acc_pose: 0.757318 2023/08/09 20:33:48 - mmengine - INFO - Epoch(train) [13][280/327] lr: 5.000000e-04 eta: 6:15:29 time: 0.341669 data_time: 0.030320 memory: 4563 loss: 0.001097 loss_kpt: 0.001097 acc_pose: 0.826937 2023/08/09 20:33:52 - mmengine - INFO - Epoch(train) [13][290/327] lr: 5.000000e-04 eta: 6:15:24 time: 0.339142 data_time: 0.030473 memory: 4563 loss: 0.001099 loss_kpt: 0.001099 acc_pose: 0.814154 2023/08/09 20:33:55 - mmengine - INFO - Epoch(train) [13][300/327] lr: 5.000000e-04 eta: 6:15:20 time: 0.341063 data_time: 0.030314 memory: 4563 loss: 0.001096 loss_kpt: 0.001096 acc_pose: 0.838867 2023/08/09 20:33:59 - mmengine - INFO - Epoch(train) [13][310/327] lr: 5.000000e-04 eta: 6:15:16 time: 0.341622 data_time: 0.030421 memory: 4563 loss: 0.001081 loss_kpt: 0.001081 acc_pose: 0.734423 2023/08/09 20:34:02 - mmengine - INFO - Epoch(train) [13][320/327] lr: 5.000000e-04 eta: 6:15:11 time: 0.342915 data_time: 0.030634 memory: 4563 loss: 0.001061 loss_kpt: 0.001061 acc_pose: 0.781609 2023/08/09 20:34:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:34:08 - mmengine - INFO - Epoch(train) [14][ 10/327] lr: 5.000000e-04 eta: 6:15:08 time: 0.349261 data_time: 0.034595 memory: 4563 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.734552 2023/08/09 20:34:11 - mmengine - INFO - Epoch(train) [14][ 20/327] lr: 5.000000e-04 eta: 6:15:03 time: 0.347113 data_time: 0.034507 memory: 4563 loss: 0.001030 loss_kpt: 0.001030 acc_pose: 0.788376 2023/08/09 20:34:15 - mmengine - INFO - Epoch(train) [14][ 30/327] lr: 5.000000e-04 eta: 6:14:58 time: 0.347257 data_time: 0.034390 memory: 4563 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.857360 2023/08/09 20:34:18 - mmengine - INFO - Epoch(train) [14][ 40/327] lr: 5.000000e-04 eta: 6:14:55 time: 0.348768 data_time: 0.034479 memory: 4563 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.694188 2023/08/09 20:34:22 - mmengine - INFO - Epoch(train) [14][ 50/327] lr: 5.000000e-04 eta: 6:14:56 time: 0.357250 data_time: 0.034789 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.772218 2023/08/09 20:34:26 - mmengine - INFO - Epoch(train) [14][ 60/327] lr: 5.000000e-04 eta: 6:14:53 time: 0.353102 data_time: 0.030741 memory: 4563 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.857060 2023/08/09 20:34:29 - mmengine - INFO - Epoch(train) [14][ 70/327] lr: 5.000000e-04 eta: 6:14:52 time: 0.358079 data_time: 0.030953 memory: 4563 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.828635 2023/08/09 20:34:33 - mmengine - INFO - Epoch(train) [14][ 80/327] lr: 5.000000e-04 eta: 6:14:48 time: 0.358401 data_time: 0.031464 memory: 4563 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.839187 2023/08/09 20:34:36 - mmengine - INFO - Epoch(train) [14][ 90/327] lr: 5.000000e-04 eta: 6:14:43 time: 0.357232 data_time: 0.031795 memory: 4563 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.785908 2023/08/09 20:34:40 - mmengine - INFO - Epoch(train) [14][100/327] lr: 5.000000e-04 eta: 6:14:38 time: 0.349059 data_time: 0.031650 memory: 4563 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.765227 2023/08/09 20:34:43 - mmengine - INFO - Epoch(train) [14][110/327] lr: 5.000000e-04 eta: 6:14:34 time: 0.347089 data_time: 0.031709 memory: 4563 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.866619 2023/08/09 20:34:47 - mmengine - INFO - Epoch(train) [14][120/327] lr: 5.000000e-04 eta: 6:14:31 time: 0.344787 data_time: 0.032166 memory: 4563 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.751722 2023/08/09 20:34:50 - mmengine - INFO - Epoch(train) [14][130/327] lr: 5.000000e-04 eta: 6:14:28 time: 0.347167 data_time: 0.031778 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.819395 2023/08/09 20:34:54 - mmengine - INFO - Epoch(train) [14][140/327] lr: 5.000000e-04 eta: 6:14:25 time: 0.348943 data_time: 0.031793 memory: 4563 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.746378 2023/08/09 20:34:57 - mmengine - INFO - Epoch(train) [14][150/327] lr: 5.000000e-04 eta: 6:14:22 time: 0.350355 data_time: 0.032367 memory: 4563 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.691693 2023/08/09 20:35:01 - mmengine - INFO - Epoch(train) [14][160/327] lr: 5.000000e-04 eta: 6:14:18 time: 0.351198 data_time: 0.033297 memory: 4563 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.799311 2023/08/09 20:35:04 - mmengine - INFO - Epoch(train) [14][170/327] lr: 5.000000e-04 eta: 6:14:13 time: 0.349519 data_time: 0.033325 memory: 4563 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.830984 2023/08/09 20:35:08 - mmengine - INFO - Epoch(train) [14][180/327] lr: 5.000000e-04 eta: 6:14:09 time: 0.347572 data_time: 0.033567 memory: 4563 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.798675 2023/08/09 20:35:11 - mmengine - INFO - Epoch(train) [14][190/327] lr: 5.000000e-04 eta: 6:14:05 time: 0.346343 data_time: 0.033007 memory: 4563 loss: 0.001006 loss_kpt: 0.001006 acc_pose: 0.820504 2023/08/09 20:35:15 - mmengine - INFO - Epoch(train) [14][200/327] lr: 5.000000e-04 eta: 6:14:03 time: 0.347592 data_time: 0.032841 memory: 4563 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.851909 2023/08/09 20:35:18 - mmengine - INFO - Epoch(train) [14][210/327] lr: 5.000000e-04 eta: 6:14:00 time: 0.349334 data_time: 0.031993 memory: 4563 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.845341 2023/08/09 20:35:22 - mmengine - INFO - Epoch(train) [14][220/327] lr: 5.000000e-04 eta: 6:13:58 time: 0.351629 data_time: 0.031842 memory: 4563 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.730907 2023/08/09 20:35:25 - mmengine - INFO - Epoch(train) [14][230/327] lr: 5.000000e-04 eta: 6:13:53 time: 0.351065 data_time: 0.031720 memory: 4563 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.843904 2023/08/09 20:35:29 - mmengine - INFO - Epoch(train) [14][240/327] lr: 5.000000e-04 eta: 6:13:49 time: 0.350198 data_time: 0.032136 memory: 4563 loss: 0.001038 loss_kpt: 0.001038 acc_pose: 0.795661 2023/08/09 20:35:32 - mmengine - INFO - Epoch(train) [14][250/327] lr: 5.000000e-04 eta: 6:13:44 time: 0.347439 data_time: 0.031618 memory: 4563 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.689655 2023/08/09 20:35:35 - mmengine - INFO - Epoch(train) [14][260/327] lr: 5.000000e-04 eta: 6:13:41 time: 0.346714 data_time: 0.031645 memory: 4563 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.730019 2023/08/09 20:35:39 - mmengine - INFO - Epoch(train) [14][270/327] lr: 5.000000e-04 eta: 6:13:37 time: 0.345334 data_time: 0.031302 memory: 4563 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.793186 2023/08/09 20:35:42 - mmengine - INFO - Epoch(train) [14][280/327] lr: 5.000000e-04 eta: 6:13:33 time: 0.345992 data_time: 0.031138 memory: 4563 loss: 0.001040 loss_kpt: 0.001040 acc_pose: 0.856548 2023/08/09 20:35:46 - mmengine - INFO - Epoch(train) [14][290/327] lr: 5.000000e-04 eta: 6:13:28 time: 0.345729 data_time: 0.030728 memory: 4563 loss: 0.001047 loss_kpt: 0.001047 acc_pose: 0.823123 2023/08/09 20:35:49 - mmengine - INFO - Epoch(train) [14][300/327] lr: 5.000000e-04 eta: 6:13:24 time: 0.346043 data_time: 0.030794 memory: 4563 loss: 0.001068 loss_kpt: 0.001068 acc_pose: 0.765212 2023/08/09 20:35:53 - mmengine - INFO - Epoch(train) [14][310/327] lr: 5.000000e-04 eta: 6:13:19 time: 0.344268 data_time: 0.030424 memory: 4563 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.775123 2023/08/09 20:35:56 - mmengine - INFO - Epoch(train) [14][320/327] lr: 5.000000e-04 eta: 6:13:16 time: 0.344854 data_time: 0.030377 memory: 4563 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.733466 2023/08/09 20:35:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:36:02 - mmengine - INFO - Epoch(train) [15][ 10/327] lr: 5.000000e-04 eta: 6:13:14 time: 0.351038 data_time: 0.033911 memory: 4563 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.783182 2023/08/09 20:36:06 - mmengine - INFO - Epoch(train) [15][ 20/327] lr: 5.000000e-04 eta: 6:13:10 time: 0.352694 data_time: 0.034279 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.824200 2023/08/09 20:36:09 - mmengine - INFO - Epoch(train) [15][ 30/327] lr: 5.000000e-04 eta: 6:13:06 time: 0.352427 data_time: 0.034235 memory: 4563 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.881612 2023/08/09 20:36:13 - mmengine - INFO - Epoch(train) [15][ 40/327] lr: 5.000000e-04 eta: 6:13:01 time: 0.349760 data_time: 0.034367 memory: 4563 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.747537 2023/08/09 20:36:16 - mmengine - INFO - Epoch(train) [15][ 50/327] lr: 5.000000e-04 eta: 6:12:56 time: 0.349864 data_time: 0.035223 memory: 4563 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.781126 2023/08/09 20:36:20 - mmengine - INFO - Epoch(train) [15][ 60/327] lr: 5.000000e-04 eta: 6:12:54 time: 0.345875 data_time: 0.033718 memory: 4563 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.746971 2023/08/09 20:36:23 - mmengine - INFO - Epoch(train) [15][ 70/327] lr: 5.000000e-04 eta: 6:12:52 time: 0.348861 data_time: 0.034015 memory: 4563 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.829721 2023/08/09 20:36:27 - mmengine - INFO - Epoch(train) [15][ 80/327] lr: 5.000000e-04 eta: 6:12:50 time: 0.351762 data_time: 0.034567 memory: 4563 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.783940 2023/08/09 20:36:30 - mmengine - INFO - Epoch(train) [15][ 90/327] lr: 5.000000e-04 eta: 6:12:46 time: 0.352748 data_time: 0.034914 memory: 4563 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.854678 2023/08/09 20:36:34 - mmengine - INFO - Epoch(train) [15][100/327] lr: 5.000000e-04 eta: 6:12:41 time: 0.352490 data_time: 0.034857 memory: 4563 loss: 0.001057 loss_kpt: 0.001057 acc_pose: 0.789324 2023/08/09 20:36:37 - mmengine - INFO - Epoch(train) [15][110/327] lr: 5.000000e-04 eta: 6:12:36 time: 0.349616 data_time: 0.031657 memory: 4563 loss: 0.001035 loss_kpt: 0.001035 acc_pose: 0.852925 2023/08/09 20:36:41 - mmengine - INFO - Epoch(train) [15][120/327] lr: 5.000000e-04 eta: 6:12:34 time: 0.347594 data_time: 0.030999 memory: 4563 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.820300 2023/08/09 20:36:44 - mmengine - INFO - Epoch(train) [15][130/327] lr: 5.000000e-04 eta: 6:12:34 time: 0.352471 data_time: 0.031466 memory: 4563 loss: 0.001019 loss_kpt: 0.001019 acc_pose: 0.800023 2023/08/09 20:36:48 - mmengine - INFO - Epoch(train) [15][140/327] lr: 5.000000e-04 eta: 6:12:35 time: 0.359021 data_time: 0.031969 memory: 4563 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.838598 2023/08/09 20:36:52 - mmengine - INFO - Epoch(train) [15][150/327] lr: 5.000000e-04 eta: 6:12:33 time: 0.362927 data_time: 0.032663 memory: 4563 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.834566 2023/08/09 20:36:55 - mmengine - INFO - Epoch(train) [15][160/327] lr: 5.000000e-04 eta: 6:12:30 time: 0.365096 data_time: 0.033186 memory: 4563 loss: 0.001070 loss_kpt: 0.001070 acc_pose: 0.732615 2023/08/09 20:36:59 - mmengine - INFO - Epoch(train) [15][170/327] lr: 5.000000e-04 eta: 6:12:26 time: 0.364169 data_time: 0.034021 memory: 4563 loss: 0.001072 loss_kpt: 0.001072 acc_pose: 0.828798 2023/08/09 20:37:03 - mmengine - INFO - Epoch(train) [15][180/327] lr: 5.000000e-04 eta: 6:12:27 time: 0.365472 data_time: 0.034024 memory: 4563 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.778736 2023/08/09 20:37:07 - mmengine - INFO - Epoch(train) [15][190/327] lr: 5.000000e-04 eta: 6:12:29 time: 0.366901 data_time: 0.034173 memory: 4563 loss: 0.001044 loss_kpt: 0.001044 acc_pose: 0.830460 2023/08/09 20:37:10 - mmengine - INFO - Epoch(train) [15][200/327] lr: 5.000000e-04 eta: 6:12:30 time: 0.371491 data_time: 0.034264 memory: 4563 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.749466 2023/08/09 20:37:14 - mmengine - INFO - Epoch(train) [15][210/327] lr: 5.000000e-04 eta: 6:12:27 time: 0.371317 data_time: 0.034251 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.910285 2023/08/09 20:37:18 - mmengine - INFO - Epoch(train) [15][220/327] lr: 5.000000e-04 eta: 6:12:24 time: 0.372250 data_time: 0.033643 memory: 4563 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.781383 2023/08/09 20:37:21 - mmengine - INFO - Epoch(train) [15][230/327] lr: 5.000000e-04 eta: 6:12:21 time: 0.366691 data_time: 0.033156 memory: 4563 loss: 0.001020 loss_kpt: 0.001020 acc_pose: 0.804023 2023/08/09 20:37:25 - mmengine - INFO - Epoch(train) [15][240/327] lr: 5.000000e-04 eta: 6:12:21 time: 0.364221 data_time: 0.032691 memory: 4563 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.797414 2023/08/09 20:37:28 - mmengine - INFO - Epoch(train) [15][250/327] lr: 5.000000e-04 eta: 6:12:17 time: 0.357474 data_time: 0.032190 memory: 4563 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.817668 2023/08/09 20:37:32 - mmengine - INFO - Epoch(train) [15][260/327] lr: 5.000000e-04 eta: 6:12:13 time: 0.355209 data_time: 0.031888 memory: 4563 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.827217 2023/08/09 20:37:35 - mmengine - INFO - Epoch(train) [15][270/327] lr: 5.000000e-04 eta: 6:12:10 time: 0.355346 data_time: 0.031968 memory: 4563 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.844048 2023/08/09 20:37:39 - mmengine - INFO - Epoch(train) [15][280/327] lr: 5.000000e-04 eta: 6:12:07 time: 0.354209 data_time: 0.032246 memory: 4563 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.847832 2023/08/09 20:37:43 - mmengine - INFO - Epoch(train) [15][290/327] lr: 5.000000e-04 eta: 6:12:07 time: 0.355732 data_time: 0.037625 memory: 4563 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.797770 2023/08/09 20:37:46 - mmengine - INFO - Epoch(train) [15][300/327] lr: 5.000000e-04 eta: 6:12:03 time: 0.354360 data_time: 0.038503 memory: 4563 loss: 0.001004 loss_kpt: 0.001004 acc_pose: 0.736470 2023/08/09 20:37:50 - mmengine - INFO - Epoch(train) [15][310/327] lr: 5.000000e-04 eta: 6:11:59 time: 0.355756 data_time: 0.039049 memory: 4563 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.901912 2023/08/09 20:37:53 - mmengine - INFO - Epoch(train) [15][320/327] lr: 5.000000e-04 eta: 6:11:55 time: 0.354007 data_time: 0.039044 memory: 4563 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.668899 2023/08/09 20:37:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:37:59 - mmengine - INFO - Epoch(train) [16][ 10/327] lr: 5.000000e-04 eta: 6:11:52 time: 0.351561 data_time: 0.037119 memory: 4563 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.761080 2023/08/09 20:38:03 - mmengine - INFO - Epoch(train) [16][ 20/327] lr: 5.000000e-04 eta: 6:11:49 time: 0.353528 data_time: 0.036499 memory: 4563 loss: 0.001037 loss_kpt: 0.001037 acc_pose: 0.800468 2023/08/09 20:38:06 - mmengine - INFO - Epoch(train) [16][ 30/327] lr: 5.000000e-04 eta: 6:11:47 time: 0.356490 data_time: 0.036227 memory: 4563 loss: 0.001054 loss_kpt: 0.001054 acc_pose: 0.876044 2023/08/09 20:38:10 - mmengine - INFO - Epoch(train) [16][ 40/327] lr: 5.000000e-04 eta: 6:11:42 time: 0.355130 data_time: 0.036247 memory: 4563 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.864410 2023/08/09 20:38:13 - mmengine - INFO - Epoch(train) [16][ 50/327] lr: 5.000000e-04 eta: 6:11:40 time: 0.358128 data_time: 0.036799 memory: 4563 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.863926 2023/08/09 20:38:17 - mmengine - INFO - Epoch(train) [16][ 60/327] lr: 5.000000e-04 eta: 6:11:36 time: 0.352092 data_time: 0.032302 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.834918 2023/08/09 20:38:20 - mmengine - INFO - Epoch(train) [16][ 70/327] lr: 5.000000e-04 eta: 6:11:32 time: 0.349876 data_time: 0.031934 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.870714 2023/08/09 20:38:24 - mmengine - INFO - Epoch(train) [16][ 80/327] lr: 5.000000e-04 eta: 6:11:29 time: 0.349693 data_time: 0.031752 memory: 4563 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.897913 2023/08/09 20:38:27 - mmengine - INFO - Epoch(train) [16][ 90/327] lr: 5.000000e-04 eta: 6:11:26 time: 0.351489 data_time: 0.032113 memory: 4563 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.826600 2023/08/09 20:38:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:38:31 - mmengine - INFO - Epoch(train) [16][100/327] lr: 5.000000e-04 eta: 6:11:24 time: 0.353502 data_time: 0.032967 memory: 4563 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.787449 2023/08/09 20:38:35 - mmengine - INFO - Epoch(train) [16][110/327] lr: 5.000000e-04 eta: 6:11:21 time: 0.354585 data_time: 0.032914 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.766507 2023/08/09 20:38:38 - mmengine - INFO - Epoch(train) [16][120/327] lr: 5.000000e-04 eta: 6:11:20 time: 0.359120 data_time: 0.033152 memory: 4563 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.848454 2023/08/09 20:38:42 - mmengine - INFO - Epoch(train) [16][130/327] lr: 5.000000e-04 eta: 6:11:21 time: 0.364987 data_time: 0.033540 memory: 4563 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.779602 2023/08/09 20:38:46 - mmengine - INFO - Epoch(train) [16][140/327] lr: 5.000000e-04 eta: 6:11:18 time: 0.366003 data_time: 0.033383 memory: 4563 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.846905 2023/08/09 20:38:49 - mmengine - INFO - Epoch(train) [16][150/327] lr: 5.000000e-04 eta: 6:11:18 time: 0.367592 data_time: 0.033044 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.754310 2023/08/09 20:38:53 - mmengine - INFO - Epoch(train) [16][160/327] lr: 5.000000e-04 eta: 6:11:14 time: 0.366993 data_time: 0.033147 memory: 4563 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.809451 2023/08/09 20:38:56 - mmengine - INFO - Epoch(train) [16][170/327] lr: 5.000000e-04 eta: 6:11:11 time: 0.364070 data_time: 0.033225 memory: 4563 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.813793 2023/08/09 20:39:00 - mmengine - INFO - Epoch(train) [16][180/327] lr: 5.000000e-04 eta: 6:11:07 time: 0.356547 data_time: 0.032843 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.835317 2023/08/09 20:39:03 - mmengine - INFO - Epoch(train) [16][190/327] lr: 5.000000e-04 eta: 6:11:03 time: 0.354294 data_time: 0.032746 memory: 4563 loss: 0.001029 loss_kpt: 0.001029 acc_pose: 0.751407 2023/08/09 20:39:07 - mmengine - INFO - Epoch(train) [16][200/327] lr: 5.000000e-04 eta: 6:10:59 time: 0.347996 data_time: 0.032157 memory: 4563 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.824620 2023/08/09 20:39:10 - mmengine - INFO - Epoch(train) [16][210/327] lr: 5.000000e-04 eta: 6:10:57 time: 0.350513 data_time: 0.032309 memory: 4563 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.773589 2023/08/09 20:39:14 - mmengine - INFO - Epoch(train) [16][220/327] lr: 5.000000e-04 eta: 6:10:54 time: 0.350496 data_time: 0.032498 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.848065 2023/08/09 20:39:17 - mmengine - INFO - Epoch(train) [16][230/327] lr: 5.000000e-04 eta: 6:10:50 time: 0.349869 data_time: 0.032296 memory: 4563 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.863136 2023/08/09 20:39:21 - mmengine - INFO - Epoch(train) [16][240/327] lr: 5.000000e-04 eta: 6:10:49 time: 0.354885 data_time: 0.032243 memory: 4563 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.807882 2023/08/09 20:39:25 - mmengine - INFO - Epoch(train) [16][250/327] lr: 5.000000e-04 eta: 6:10:47 time: 0.359729 data_time: 0.035435 memory: 4563 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.796505 2023/08/09 20:39:28 - mmengine - INFO - Epoch(train) [16][260/327] lr: 5.000000e-04 eta: 6:10:43 time: 0.356871 data_time: 0.035742 memory: 4563 loss: 0.000989 loss_kpt: 0.000989 acc_pose: 0.803668 2023/08/09 20:39:32 - mmengine - INFO - Epoch(train) [16][270/327] lr: 5.000000e-04 eta: 6:10:40 time: 0.356052 data_time: 0.035259 memory: 4563 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.716718 2023/08/09 20:39:35 - mmengine - INFO - Epoch(train) [16][280/327] lr: 5.000000e-04 eta: 6:10:37 time: 0.358890 data_time: 0.035676 memory: 4563 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.837634 2023/08/09 20:39:39 - mmengine - INFO - Epoch(train) [16][290/327] lr: 5.000000e-04 eta: 6:10:35 time: 0.356066 data_time: 0.036170 memory: 4563 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.811905 2023/08/09 20:39:42 - mmengine - INFO - Epoch(train) [16][300/327] lr: 5.000000e-04 eta: 6:10:32 time: 0.353948 data_time: 0.033279 memory: 4563 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.770977 2023/08/09 20:39:46 - mmengine - INFO - Epoch(train) [16][310/327] lr: 5.000000e-04 eta: 6:10:30 time: 0.357006 data_time: 0.033083 memory: 4563 loss: 0.001010 loss_kpt: 0.001010 acc_pose: 0.833082 2023/08/09 20:39:50 - mmengine - INFO - Epoch(train) [16][320/327] lr: 5.000000e-04 eta: 6:10:26 time: 0.356938 data_time: 0.033074 memory: 4563 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.841593 2023/08/09 20:39:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:39:56 - mmengine - INFO - Epoch(train) [17][ 10/327] lr: 5.000000e-04 eta: 6:10:21 time: 0.353299 data_time: 0.035377 memory: 4563 loss: 0.001025 loss_kpt: 0.001025 acc_pose: 0.660395 2023/08/09 20:39:59 - mmengine - INFO - Epoch(train) [17][ 20/327] lr: 5.000000e-04 eta: 6:10:17 time: 0.352046 data_time: 0.034967 memory: 4563 loss: 0.001051 loss_kpt: 0.001051 acc_pose: 0.838340 2023/08/09 20:40:03 - mmengine - INFO - Epoch(train) [17][ 30/327] lr: 5.000000e-04 eta: 6:10:14 time: 0.350749 data_time: 0.035383 memory: 4563 loss: 0.001054 loss_kpt: 0.001054 acc_pose: 0.757738 2023/08/09 20:40:06 - mmengine - INFO - Epoch(train) [17][ 40/327] lr: 5.000000e-04 eta: 6:10:11 time: 0.351432 data_time: 0.035555 memory: 4563 loss: 0.001024 loss_kpt: 0.001024 acc_pose: 0.879191 2023/08/09 20:40:10 - mmengine - INFO - Epoch(train) [17][ 50/327] lr: 5.000000e-04 eta: 6:10:09 time: 0.356317 data_time: 0.036870 memory: 4563 loss: 0.001042 loss_kpt: 0.001042 acc_pose: 0.803448 2023/08/09 20:40:13 - mmengine - INFO - Epoch(train) [17][ 60/327] lr: 5.000000e-04 eta: 6:10:05 time: 0.353109 data_time: 0.033030 memory: 4563 loss: 0.001049 loss_kpt: 0.001049 acc_pose: 0.803662 2023/08/09 20:40:17 - mmengine - INFO - Epoch(train) [17][ 70/327] lr: 5.000000e-04 eta: 6:10:00 time: 0.352631 data_time: 0.033836 memory: 4563 loss: 0.001064 loss_kpt: 0.001064 acc_pose: 0.836362 2023/08/09 20:40:20 - mmengine - INFO - Epoch(train) [17][ 80/327] lr: 5.000000e-04 eta: 6:09:58 time: 0.354491 data_time: 0.033644 memory: 4563 loss: 0.001043 loss_kpt: 0.001043 acc_pose: 0.786283 2023/08/09 20:40:24 - mmengine - INFO - Epoch(train) [17][ 90/327] lr: 5.000000e-04 eta: 6:09:54 time: 0.351831 data_time: 0.033475 memory: 4563 loss: 0.001048 loss_kpt: 0.001048 acc_pose: 0.838071 2023/08/09 20:40:27 - mmengine - INFO - Epoch(train) [17][100/327] lr: 5.000000e-04 eta: 6:09:52 time: 0.352539 data_time: 0.033740 memory: 4563 loss: 0.001039 loss_kpt: 0.001039 acc_pose: 0.779167 2023/08/09 20:40:31 - mmengine - INFO - Epoch(train) [17][110/327] lr: 5.000000e-04 eta: 6:09:53 time: 0.359560 data_time: 0.034390 memory: 4563 loss: 0.001028 loss_kpt: 0.001028 acc_pose: 0.829688 2023/08/09 20:40:35 - mmengine - INFO - Epoch(train) [17][120/327] lr: 5.000000e-04 eta: 6:09:50 time: 0.361567 data_time: 0.033615 memory: 4563 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.829782 2023/08/09 20:40:38 - mmengine - INFO - Epoch(train) [17][130/327] lr: 5.000000e-04 eta: 6:09:46 time: 0.358367 data_time: 0.033150 memory: 4563 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.866496 2023/08/09 20:40:42 - mmengine - INFO - Epoch(train) [17][140/327] lr: 5.000000e-04 eta: 6:09:42 time: 0.359149 data_time: 0.033008 memory: 4563 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.799138 2023/08/09 20:40:45 - mmengine - INFO - Epoch(train) [17][150/327] lr: 5.000000e-04 eta: 6:09:39 time: 0.356770 data_time: 0.032702 memory: 4563 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.786354 2023/08/09 20:40:49 - mmengine - INFO - Epoch(train) [17][160/327] lr: 5.000000e-04 eta: 6:09:36 time: 0.351165 data_time: 0.031966 memory: 4563 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.814286 2023/08/09 20:40:52 - mmengine - INFO - Epoch(train) [17][170/327] lr: 5.000000e-04 eta: 6:09:34 time: 0.354355 data_time: 0.032450 memory: 4563 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.701149 2023/08/09 20:40:56 - mmengine - INFO - Epoch(train) [17][180/327] lr: 5.000000e-04 eta: 6:09:31 time: 0.355297 data_time: 0.032781 memory: 4563 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.772619 2023/08/09 20:41:00 - mmengine - INFO - Epoch(train) [17][190/327] lr: 5.000000e-04 eta: 6:09:30 time: 0.360264 data_time: 0.032655 memory: 4563 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.752484 2023/08/09 20:41:03 - mmengine - INFO - Epoch(train) [17][200/327] lr: 5.000000e-04 eta: 6:09:27 time: 0.360963 data_time: 0.032506 memory: 4563 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.723702 2023/08/09 20:41:07 - mmengine - INFO - Epoch(train) [17][210/327] lr: 5.000000e-04 eta: 6:09:23 time: 0.359500 data_time: 0.032278 memory: 4563 loss: 0.001011 loss_kpt: 0.001011 acc_pose: 0.622701 2023/08/09 20:41:10 - mmengine - INFO - Epoch(train) [17][220/327] lr: 5.000000e-04 eta: 6:09:19 time: 0.354968 data_time: 0.031713 memory: 4563 loss: 0.001009 loss_kpt: 0.001009 acc_pose: 0.877151 2023/08/09 20:41:14 - mmengine - INFO - Epoch(train) [17][230/327] lr: 5.000000e-04 eta: 6:09:17 time: 0.356745 data_time: 0.031669 memory: 4563 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.745459 2023/08/09 20:41:17 - mmengine - INFO - Epoch(train) [17][240/327] lr: 5.000000e-04 eta: 6:09:14 time: 0.352422 data_time: 0.031948 memory: 4563 loss: 0.001002 loss_kpt: 0.001002 acc_pose: 0.791804 2023/08/09 20:41:21 - mmengine - INFO - Epoch(train) [17][250/327] lr: 5.000000e-04 eta: 6:09:12 time: 0.354232 data_time: 0.032033 memory: 4563 loss: 0.001017 loss_kpt: 0.001017 acc_pose: 0.837254 2023/08/09 20:41:25 - mmengine - INFO - Epoch(train) [17][260/327] lr: 5.000000e-04 eta: 6:09:11 time: 0.359874 data_time: 0.032036 memory: 4563 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.756118 2023/08/09 20:41:28 - mmengine - INFO - Epoch(train) [17][270/327] lr: 5.000000e-04 eta: 6:09:09 time: 0.362927 data_time: 0.032111 memory: 4563 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.739562 2023/08/09 20:41:32 - mmengine - INFO - Epoch(train) [17][280/327] lr: 5.000000e-04 eta: 6:09:05 time: 0.360086 data_time: 0.032280 memory: 4563 loss: 0.001013 loss_kpt: 0.001013 acc_pose: 0.776980 2023/08/09 20:41:35 - mmengine - INFO - Epoch(train) [17][290/327] lr: 5.000000e-04 eta: 6:09:03 time: 0.362029 data_time: 0.033201 memory: 4563 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.832184 2023/08/09 20:41:39 - mmengine - INFO - Epoch(train) [17][300/327] lr: 5.000000e-04 eta: 6:09:03 time: 0.366334 data_time: 0.033741 memory: 4563 loss: 0.000998 loss_kpt: 0.000998 acc_pose: 0.812081 2023/08/09 20:41:43 - mmengine - INFO - Epoch(train) [17][310/327] lr: 5.000000e-04 eta: 6:09:00 time: 0.361765 data_time: 0.033946 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.767394 2023/08/09 20:41:46 - mmengine - INFO - Epoch(train) [17][320/327] lr: 5.000000e-04 eta: 6:08:56 time: 0.359122 data_time: 0.034020 memory: 4563 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.830825 2023/08/09 20:41:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:41:53 - mmengine - INFO - Epoch(train) [18][ 10/327] lr: 5.000000e-04 eta: 6:08:54 time: 0.366871 data_time: 0.040369 memory: 4563 loss: 0.001041 loss_kpt: 0.001041 acc_pose: 0.817209 2023/08/09 20:41:56 - mmengine - INFO - Epoch(train) [18][ 20/327] lr: 5.000000e-04 eta: 6:08:51 time: 0.360293 data_time: 0.040147 memory: 4563 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.773332 2023/08/09 20:42:00 - mmengine - INFO - Epoch(train) [18][ 30/327] lr: 5.000000e-04 eta: 6:08:48 time: 0.358557 data_time: 0.039689 memory: 4563 loss: 0.001018 loss_kpt: 0.001018 acc_pose: 0.812879 2023/08/09 20:42:03 - mmengine - INFO - Epoch(train) [18][ 40/327] lr: 5.000000e-04 eta: 6:08:45 time: 0.359453 data_time: 0.039792 memory: 4563 loss: 0.001021 loss_kpt: 0.001021 acc_pose: 0.762500 2023/08/09 20:42:07 - mmengine - INFO - Epoch(train) [18][ 50/327] lr: 5.000000e-04 eta: 6:08:41 time: 0.358876 data_time: 0.038537 memory: 4563 loss: 0.000994 loss_kpt: 0.000994 acc_pose: 0.924285 2023/08/09 20:42:10 - mmengine - INFO - Epoch(train) [18][ 60/327] lr: 5.000000e-04 eta: 6:08:38 time: 0.353439 data_time: 0.032142 memory: 4563 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.799170 2023/08/09 20:42:14 - mmengine - INFO - Epoch(train) [18][ 70/327] lr: 5.000000e-04 eta: 6:08:35 time: 0.353600 data_time: 0.031953 memory: 4563 loss: 0.000965 loss_kpt: 0.000965 acc_pose: 0.744709 2023/08/09 20:42:17 - mmengine - INFO - Epoch(train) [18][ 80/327] lr: 5.000000e-04 eta: 6:08:31 time: 0.351927 data_time: 0.031625 memory: 4563 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.872435 2023/08/09 20:42:21 - mmengine - INFO - Epoch(train) [18][ 90/327] lr: 5.000000e-04 eta: 6:08:31 time: 0.356407 data_time: 0.031704 memory: 4563 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.874944 2023/08/09 20:42:25 - mmengine - INFO - Epoch(train) [18][100/327] lr: 5.000000e-04 eta: 6:08:29 time: 0.361130 data_time: 0.031711 memory: 4563 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.792659 2023/08/09 20:42:28 - mmengine - INFO - Epoch(train) [18][110/327] lr: 5.000000e-04 eta: 6:08:27 time: 0.361928 data_time: 0.031740 memory: 4563 loss: 0.000997 loss_kpt: 0.000997 acc_pose: 0.825302 2023/08/09 20:42:32 - mmengine - INFO - Epoch(train) [18][120/327] lr: 5.000000e-04 eta: 6:08:25 time: 0.363906 data_time: 0.031780 memory: 4563 loss: 0.000999 loss_kpt: 0.000999 acc_pose: 0.786103 2023/08/09 20:42:36 - mmengine - INFO - Epoch(train) [18][130/327] lr: 5.000000e-04 eta: 6:08:21 time: 0.365202 data_time: 0.031813 memory: 4563 loss: 0.001015 loss_kpt: 0.001015 acc_pose: 0.792207 2023/08/09 20:42:39 - mmengine - INFO - Epoch(train) [18][140/327] lr: 5.000000e-04 eta: 6:08:18 time: 0.360023 data_time: 0.031450 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.914655 2023/08/09 20:42:43 - mmengine - INFO - Epoch(train) [18][150/327] lr: 5.000000e-04 eta: 6:08:16 time: 0.357952 data_time: 0.034483 memory: 4563 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.861371 2023/08/09 20:42:46 - mmengine - INFO - Epoch(train) [18][160/327] lr: 5.000000e-04 eta: 6:08:12 time: 0.356073 data_time: 0.034293 memory: 4563 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.900000 2023/08/09 20:42:50 - mmengine - INFO - Epoch(train) [18][170/327] lr: 5.000000e-04 eta: 6:08:09 time: 0.353576 data_time: 0.034195 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.903238 2023/08/09 20:42:53 - mmengine - INFO - Epoch(train) [18][180/327] lr: 5.000000e-04 eta: 6:08:07 time: 0.356134 data_time: 0.035168 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.811136 2023/08/09 20:42:57 - mmengine - INFO - Epoch(train) [18][190/327] lr: 5.000000e-04 eta: 6:08:06 time: 0.360888 data_time: 0.035376 memory: 4563 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.838157 2023/08/09 20:43:01 - mmengine - INFO - Epoch(train) [18][200/327] lr: 5.000000e-04 eta: 6:08:03 time: 0.358806 data_time: 0.032346 memory: 4563 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.780172 2023/08/09 20:43:04 - mmengine - INFO - Epoch(train) [18][210/327] lr: 5.000000e-04 eta: 6:07:59 time: 0.358432 data_time: 0.032603 memory: 4563 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.808333 2023/08/09 20:43:08 - mmengine - INFO - Epoch(train) [18][220/327] lr: 5.000000e-04 eta: 6:07:55 time: 0.357793 data_time: 0.032662 memory: 4563 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.830683 2023/08/09 20:43:11 - mmengine - INFO - Epoch(train) [18][230/327] lr: 5.000000e-04 eta: 6:07:51 time: 0.353908 data_time: 0.032003 memory: 4563 loss: 0.000995 loss_kpt: 0.000995 acc_pose: 0.745417 2023/08/09 20:43:15 - mmengine - INFO - Epoch(train) [18][240/327] lr: 5.000000e-04 eta: 6:07:47 time: 0.348961 data_time: 0.031822 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.866687 2023/08/09 20:43:18 - mmengine - INFO - Epoch(train) [18][250/327] lr: 5.000000e-04 eta: 6:07:44 time: 0.348344 data_time: 0.031826 memory: 4563 loss: 0.001000 loss_kpt: 0.001000 acc_pose: 0.801214 2023/08/09 20:43:22 - mmengine - INFO - Epoch(train) [18][260/327] lr: 5.000000e-04 eta: 6:07:42 time: 0.352943 data_time: 0.031827 memory: 4563 loss: 0.001001 loss_kpt: 0.001001 acc_pose: 0.862198 2023/08/09 20:43:25 - mmengine - INFO - Epoch(train) [18][270/327] lr: 5.000000e-04 eta: 6:07:39 time: 0.354192 data_time: 0.031534 memory: 4563 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.768883 2023/08/09 20:43:29 - mmengine - INFO - Epoch(train) [18][280/327] lr: 5.000000e-04 eta: 6:07:35 time: 0.354891 data_time: 0.031688 memory: 4563 loss: 0.001026 loss_kpt: 0.001026 acc_pose: 0.844725 2023/08/09 20:43:32 - mmengine - INFO - Epoch(train) [18][290/327] lr: 5.000000e-04 eta: 6:07:31 time: 0.353731 data_time: 0.032261 memory: 4563 loss: 0.001034 loss_kpt: 0.001034 acc_pose: 0.786494 2023/08/09 20:43:36 - mmengine - INFO - Epoch(train) [18][300/327] lr: 5.000000e-04 eta: 6:07:28 time: 0.353753 data_time: 0.032575 memory: 4563 loss: 0.001022 loss_kpt: 0.001022 acc_pose: 0.813023 2023/08/09 20:43:39 - mmengine - INFO - Epoch(train) [18][310/327] lr: 5.000000e-04 eta: 6:07:24 time: 0.349891 data_time: 0.032591 memory: 4563 loss: 0.001046 loss_kpt: 0.001046 acc_pose: 0.752976 2023/08/09 20:43:43 - mmengine - INFO - Epoch(train) [18][320/327] lr: 5.000000e-04 eta: 6:07:24 time: 0.355659 data_time: 0.032919 memory: 4563 loss: 0.001023 loss_kpt: 0.001023 acc_pose: 0.840726 2023/08/09 20:43:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:43:50 - mmengine - INFO - Epoch(train) [19][ 10/327] lr: 5.000000e-04 eta: 6:07:22 time: 0.364467 data_time: 0.040089 memory: 4563 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.743448 2023/08/09 20:43:53 - mmengine - INFO - Epoch(train) [19][ 20/327] lr: 5.000000e-04 eta: 6:07:17 time: 0.361868 data_time: 0.039951 memory: 4563 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.797989 2023/08/09 20:43:56 - mmengine - INFO - Epoch(train) [19][ 30/327] lr: 5.000000e-04 eta: 6:07:12 time: 0.359232 data_time: 0.039874 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.796337 2023/08/09 20:44:00 - mmengine - INFO - Epoch(train) [19][ 40/327] lr: 5.000000e-04 eta: 6:07:07 time: 0.350447 data_time: 0.039637 memory: 4563 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.819661 2023/08/09 20:44:03 - mmengine - INFO - Epoch(train) [19][ 50/327] lr: 5.000000e-04 eta: 6:07:03 time: 0.346257 data_time: 0.036103 memory: 4563 loss: 0.000985 loss_kpt: 0.000985 acc_pose: 0.827143 2023/08/09 20:44:07 - mmengine - INFO - Epoch(train) [19][ 60/327] lr: 5.000000e-04 eta: 6:06:59 time: 0.340593 data_time: 0.031869 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.801140 2023/08/09 20:44:10 - mmengine - INFO - Epoch(train) [19][ 70/327] lr: 5.000000e-04 eta: 6:06:55 time: 0.343515 data_time: 0.031656 memory: 4563 loss: 0.000975 loss_kpt: 0.000975 acc_pose: 0.757663 2023/08/09 20:44:13 - mmengine - INFO - Epoch(train) [19][ 80/327] lr: 5.000000e-04 eta: 6:06:50 time: 0.343425 data_time: 0.031689 memory: 4563 loss: 0.000980 loss_kpt: 0.000980 acc_pose: 0.884677 2023/08/09 20:44:17 - mmengine - INFO - Epoch(train) [19][ 90/327] lr: 5.000000e-04 eta: 6:06:45 time: 0.342411 data_time: 0.031810 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.685920 2023/08/09 20:44:20 - mmengine - INFO - Epoch(train) [19][100/327] lr: 5.000000e-04 eta: 6:06:40 time: 0.340207 data_time: 0.032007 memory: 4563 loss: 0.000987 loss_kpt: 0.000987 acc_pose: 0.862366 2023/08/09 20:44:23 - mmengine - INFO - Epoch(train) [19][110/327] lr: 5.000000e-04 eta: 6:06:35 time: 0.337811 data_time: 0.031316 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.800265 2023/08/09 20:44:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:44:27 - mmengine - INFO - Epoch(train) [19][120/327] lr: 5.000000e-04 eta: 6:06:30 time: 0.335366 data_time: 0.031219 memory: 4563 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.901705 2023/08/09 20:44:30 - mmengine - INFO - Epoch(train) [19][130/327] lr: 5.000000e-04 eta: 6:06:25 time: 0.336996 data_time: 0.031195 memory: 4563 loss: 0.000990 loss_kpt: 0.000990 acc_pose: 0.765018 2023/08/09 20:44:34 - mmengine - INFO - Epoch(train) [19][140/327] lr: 5.000000e-04 eta: 6:06:22 time: 0.341026 data_time: 0.031704 memory: 4563 loss: 0.000981 loss_kpt: 0.000981 acc_pose: 0.799328 2023/08/09 20:44:38 - mmengine - INFO - Epoch(train) [19][150/327] lr: 5.000000e-04 eta: 6:06:22 time: 0.350117 data_time: 0.035033 memory: 4563 loss: 0.000982 loss_kpt: 0.000982 acc_pose: 0.717303 2023/08/09 20:44:41 - mmengine - INFO - Epoch(train) [19][160/327] lr: 5.000000e-04 eta: 6:06:22 time: 0.360575 data_time: 0.035931 memory: 4563 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.840164 2023/08/09 20:44:45 - mmengine - INFO - Epoch(train) [19][170/327] lr: 5.000000e-04 eta: 6:06:18 time: 0.361902 data_time: 0.036457 memory: 4563 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.886290 2023/08/09 20:44:48 - mmengine - INFO - Epoch(train) [19][180/327] lr: 5.000000e-04 eta: 6:06:13 time: 0.361273 data_time: 0.036416 memory: 4563 loss: 0.000953 loss_kpt: 0.000953 acc_pose: 0.737012 2023/08/09 20:44:52 - mmengine - INFO - Epoch(train) [19][190/327] lr: 5.000000e-04 eta: 6:06:10 time: 0.360369 data_time: 0.036318 memory: 4563 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.784047 2023/08/09 20:44:55 - mmengine - INFO - Epoch(train) [19][200/327] lr: 5.000000e-04 eta: 6:06:07 time: 0.356843 data_time: 0.032636 memory: 4563 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.813194 2023/08/09 20:44:59 - mmengine - INFO - Epoch(train) [19][210/327] lr: 5.000000e-04 eta: 6:06:04 time: 0.349503 data_time: 0.032532 memory: 4563 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.835255 2023/08/09 20:45:02 - mmengine - INFO - Epoch(train) [19][220/327] lr: 5.000000e-04 eta: 6:06:00 time: 0.350696 data_time: 0.031947 memory: 4563 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.831609 2023/08/09 20:45:06 - mmengine - INFO - Epoch(train) [19][230/327] lr: 5.000000e-04 eta: 6:05:57 time: 0.352924 data_time: 0.031933 memory: 4563 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.830729 2023/08/09 20:45:09 - mmengine - INFO - Epoch(train) [19][240/327] lr: 5.000000e-04 eta: 6:05:52 time: 0.351149 data_time: 0.031585 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.817980 2023/08/09 20:45:13 - mmengine - INFO - Epoch(train) [19][250/327] lr: 5.000000e-04 eta: 6:05:48 time: 0.347826 data_time: 0.031774 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.854032 2023/08/09 20:45:16 - mmengine - INFO - Epoch(train) [19][260/327] lr: 5.000000e-04 eta: 6:05:46 time: 0.350055 data_time: 0.031400 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.804577 2023/08/09 20:45:20 - mmengine - INFO - Epoch(train) [19][270/327] lr: 5.000000e-04 eta: 6:05:45 time: 0.355716 data_time: 0.032279 memory: 4563 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.848721 2023/08/09 20:45:24 - mmengine - INFO - Epoch(train) [19][280/327] lr: 5.000000e-04 eta: 6:05:42 time: 0.356715 data_time: 0.032286 memory: 4563 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.869304 2023/08/09 20:45:27 - mmengine - INFO - Epoch(train) [19][290/327] lr: 5.000000e-04 eta: 6:05:38 time: 0.356682 data_time: 0.032183 memory: 4563 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.908893 2023/08/09 20:45:31 - mmengine - INFO - Epoch(train) [19][300/327] lr: 5.000000e-04 eta: 6:05:34 time: 0.358071 data_time: 0.031965 memory: 4563 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.844929 2023/08/09 20:45:34 - mmengine - INFO - Epoch(train) [19][310/327] lr: 5.000000e-04 eta: 6:05:30 time: 0.353825 data_time: 0.031718 memory: 4563 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.857407 2023/08/09 20:45:38 - mmengine - INFO - Epoch(train) [19][320/327] lr: 5.000000e-04 eta: 6:05:25 time: 0.345880 data_time: 0.030949 memory: 4563 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.753571 2023/08/09 20:45:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:45:44 - mmengine - INFO - Epoch(train) [20][ 10/327] lr: 5.000000e-04 eta: 6:05:20 time: 0.346996 data_time: 0.035791 memory: 4563 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.807920 2023/08/09 20:45:47 - mmengine - INFO - Epoch(train) [20][ 20/327] lr: 5.000000e-04 eta: 6:05:19 time: 0.352572 data_time: 0.036098 memory: 4563 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.826017 2023/08/09 20:45:51 - mmengine - INFO - Epoch(train) [20][ 30/327] lr: 5.000000e-04 eta: 6:05:15 time: 0.353968 data_time: 0.036231 memory: 4563 loss: 0.001003 loss_kpt: 0.001003 acc_pose: 0.757323 2023/08/09 20:45:54 - mmengine - INFO - Epoch(train) [20][ 40/327] lr: 5.000000e-04 eta: 6:05:12 time: 0.356275 data_time: 0.036285 memory: 4563 loss: 0.001005 loss_kpt: 0.001005 acc_pose: 0.757731 2023/08/09 20:45:58 - mmengine - INFO - Epoch(train) [20][ 50/327] lr: 5.000000e-04 eta: 6:05:08 time: 0.358271 data_time: 0.036941 memory: 4563 loss: 0.001007 loss_kpt: 0.001007 acc_pose: 0.760476 2023/08/09 20:46:01 - mmengine - INFO - Epoch(train) [20][ 60/327] lr: 5.000000e-04 eta: 6:05:05 time: 0.355683 data_time: 0.032075 memory: 4563 loss: 0.000988 loss_kpt: 0.000988 acc_pose: 0.912917 2023/08/09 20:46:05 - mmengine - INFO - Epoch(train) [20][ 70/327] lr: 5.000000e-04 eta: 6:05:03 time: 0.354882 data_time: 0.032209 memory: 4563 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.756644 2023/08/09 20:46:09 - mmengine - INFO - Epoch(train) [20][ 80/327] lr: 5.000000e-04 eta: 6:05:00 time: 0.356343 data_time: 0.032634 memory: 4563 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.810215 2023/08/09 20:46:12 - mmengine - INFO - Epoch(train) [20][ 90/327] lr: 5.000000e-04 eta: 6:04:57 time: 0.357461 data_time: 0.032821 memory: 4563 loss: 0.000964 loss_kpt: 0.000964 acc_pose: 0.840057 2023/08/09 20:46:16 - mmengine - INFO - Epoch(train) [20][100/327] lr: 5.000000e-04 eta: 6:04:54 time: 0.359210 data_time: 0.032882 memory: 4563 loss: 0.000969 loss_kpt: 0.000969 acc_pose: 0.815517 2023/08/09 20:46:19 - mmengine - INFO - Epoch(train) [20][110/327] lr: 5.000000e-04 eta: 6:04:51 time: 0.358085 data_time: 0.032565 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.792691 2023/08/09 20:46:23 - mmengine - INFO - Epoch(train) [20][120/327] lr: 5.000000e-04 eta: 6:04:48 time: 0.356456 data_time: 0.032821 memory: 4563 loss: 0.000958 loss_kpt: 0.000958 acc_pose: 0.797665 2023/08/09 20:46:26 - mmengine - INFO - Epoch(train) [20][130/327] lr: 5.000000e-04 eta: 6:04:44 time: 0.354223 data_time: 0.032763 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.808528 2023/08/09 20:46:30 - mmengine - INFO - Epoch(train) [20][140/327] lr: 5.000000e-04 eta: 6:04:43 time: 0.357717 data_time: 0.032693 memory: 4563 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.814917 2023/08/09 20:46:34 - mmengine - INFO - Epoch(train) [20][150/327] lr: 5.000000e-04 eta: 6:04:42 time: 0.361778 data_time: 0.033115 memory: 4563 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.858520 2023/08/09 20:46:38 - mmengine - INFO - Epoch(train) [20][160/327] lr: 5.000000e-04 eta: 6:04:42 time: 0.369671 data_time: 0.033069 memory: 4563 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.867715 2023/08/09 20:46:41 - mmengine - INFO - Epoch(train) [20][170/327] lr: 5.000000e-04 eta: 6:04:38 time: 0.365520 data_time: 0.032435 memory: 4563 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.919010 2023/08/09 20:46:45 - mmengine - INFO - Epoch(train) [20][180/327] lr: 5.000000e-04 eta: 6:04:34 time: 0.366123 data_time: 0.032039 memory: 4563 loss: 0.000968 loss_kpt: 0.000968 acc_pose: 0.809919 2023/08/09 20:46:48 - mmengine - INFO - Epoch(train) [20][190/327] lr: 5.000000e-04 eta: 6:04:31 time: 0.362991 data_time: 0.032155 memory: 4563 loss: 0.000955 loss_kpt: 0.000955 acc_pose: 0.753911 2023/08/09 20:46:52 - mmengine - INFO - Epoch(train) [20][200/327] lr: 5.000000e-04 eta: 6:04:29 time: 0.361893 data_time: 0.031873 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.834546 2023/08/09 20:46:55 - mmengine - INFO - Epoch(train) [20][210/327] lr: 5.000000e-04 eta: 6:04:26 time: 0.354313 data_time: 0.032065 memory: 4563 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.886590 2023/08/09 20:46:59 - mmengine - INFO - Epoch(train) [20][220/327] lr: 5.000000e-04 eta: 6:04:23 time: 0.356735 data_time: 0.032719 memory: 4563 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.737053 2023/08/09 20:47:03 - mmengine - INFO - Epoch(train) [20][230/327] lr: 5.000000e-04 eta: 6:04:19 time: 0.356039 data_time: 0.032865 memory: 4563 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.835913 2023/08/09 20:47:06 - mmengine - INFO - Epoch(train) [20][240/327] lr: 5.000000e-04 eta: 6:04:15 time: 0.354008 data_time: 0.032816 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.848776 2023/08/09 20:47:09 - mmengine - INFO - Epoch(train) [20][250/327] lr: 5.000000e-04 eta: 6:04:11 time: 0.349501 data_time: 0.032622 memory: 4563 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.874889 2023/08/09 20:47:13 - mmengine - INFO - Epoch(train) [20][260/327] lr: 5.000000e-04 eta: 6:04:07 time: 0.349060 data_time: 0.032443 memory: 4563 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.785357 2023/08/09 20:47:16 - mmengine - INFO - Epoch(train) [20][270/327] lr: 5.000000e-04 eta: 6:04:04 time: 0.348653 data_time: 0.032087 memory: 4563 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.870298 2023/08/09 20:47:20 - mmengine - INFO - Epoch(train) [20][280/327] lr: 5.000000e-04 eta: 6:04:01 time: 0.350723 data_time: 0.032079 memory: 4563 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.853674 2023/08/09 20:47:24 - mmengine - INFO - Epoch(train) [20][290/327] lr: 5.000000e-04 eta: 6:03:59 time: 0.354503 data_time: 0.032402 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.843137 2023/08/09 20:47:28 - mmengine - INFO - Epoch(train) [20][300/327] lr: 5.000000e-04 eta: 6:03:59 time: 0.363231 data_time: 0.032652 memory: 4563 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.867175 2023/08/09 20:47:31 - mmengine - INFO - Epoch(train) [20][310/327] lr: 5.000000e-04 eta: 6:03:55 time: 0.362568 data_time: 0.032421 memory: 4563 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.868434 2023/08/09 20:47:35 - mmengine - INFO - Epoch(train) [20][320/327] lr: 5.000000e-04 eta: 6:03:52 time: 0.362344 data_time: 0.032411 memory: 4563 loss: 0.000976 loss_kpt: 0.000976 acc_pose: 0.751741 2023/08/09 20:47:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:47:37 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/08/09 20:47:43 - mmengine - INFO - Epoch(val) [20][10/79] eta: 0:00:14 time: 0.195384 data_time: 0.012687 memory: 4563 2023/08/09 20:47:45 - mmengine - INFO - Epoch(val) [20][20/79] eta: 0:00:11 time: 0.195751 data_time: 0.012761 memory: 1634 2023/08/09 20:47:47 - mmengine - INFO - Epoch(val) [20][30/79] eta: 0:00:09 time: 0.196172 data_time: 0.012939 memory: 1634 2023/08/09 20:47:49 - mmengine - INFO - Epoch(val) [20][40/79] eta: 0:00:07 time: 0.196215 data_time: 0.012870 memory: 1634 2023/08/09 20:47:51 - mmengine - INFO - Epoch(val) [20][50/79] eta: 0:00:05 time: 0.198062 data_time: 0.013191 memory: 1634 2023/08/09 20:47:53 - mmengine - INFO - Epoch(val) [20][60/79] eta: 0:00:03 time: 0.195630 data_time: 0.011130 memory: 1634 2023/08/09 20:47:55 - mmengine - INFO - Epoch(val) [20][70/79] eta: 0:00:01 time: 0.195313 data_time: 0.011081 memory: 1634 2023/08/09 20:47:57 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 20:47:57 - mmengine - INFO - Evaluating AUC... 2023/08/09 20:47:57 - mmengine - INFO - Evaluating EPE... 2023/08/09 20:47:57 - mmengine - INFO - Epoch(val) [20][79/79] PCK: 0.963784 AUC: 0.728261 EPE: 11.045490 data_time: 0.012217 time: 0.194480 2023/08/09 20:47:57 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_10.pth is removed 2023/08/09 20:47:59 - mmengine - INFO - The best checkpoint with 0.7283 AUC at 20 epoch is saved to best_AUC_epoch_20.pth. 2023/08/09 20:48:07 - mmengine - INFO - Epoch(train) [21][ 10/327] lr: 5.000000e-04 eta: 6:03:47 time: 0.362773 data_time: 0.035515 memory: 4563 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.803571 2023/08/09 20:48:10 - mmengine - INFO - Epoch(train) [21][ 20/327] lr: 5.000000e-04 eta: 6:03:44 time: 0.355719 data_time: 0.035093 memory: 4563 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.782100 2023/08/09 20:48:14 - mmengine - INFO - Epoch(train) [21][ 30/327] lr: 5.000000e-04 eta: 6:03:40 time: 0.352436 data_time: 0.035051 memory: 4563 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.809548 2023/08/09 20:48:17 - mmengine - INFO - Epoch(train) [21][ 40/327] lr: 5.000000e-04 eta: 6:03:35 time: 0.350676 data_time: 0.035234 memory: 4563 loss: 0.000940 loss_kpt: 0.000940 acc_pose: 0.902670 2023/08/09 20:48:20 - mmengine - INFO - Epoch(train) [21][ 50/327] lr: 5.000000e-04 eta: 6:03:30 time: 0.347719 data_time: 0.035518 memory: 4563 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.838689 2023/08/09 20:48:24 - mmengine - INFO - Epoch(train) [21][ 60/327] lr: 5.000000e-04 eta: 6:03:25 time: 0.342275 data_time: 0.031820 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.883871 2023/08/09 20:48:27 - mmengine - INFO - Epoch(train) [21][ 70/327] lr: 5.000000e-04 eta: 6:03:21 time: 0.340986 data_time: 0.031867 memory: 4563 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.841614 2023/08/09 20:48:31 - mmengine - INFO - Epoch(train) [21][ 80/327] lr: 5.000000e-04 eta: 6:03:18 time: 0.341830 data_time: 0.032064 memory: 4563 loss: 0.000962 loss_kpt: 0.000962 acc_pose: 0.777122 2023/08/09 20:48:35 - mmengine - INFO - Epoch(train) [21][ 90/327] lr: 5.000000e-04 eta: 6:03:17 time: 0.351097 data_time: 0.031968 memory: 4563 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.820341 2023/08/09 20:48:38 - mmengine - INFO - Epoch(train) [21][100/327] lr: 5.000000e-04 eta: 6:03:14 time: 0.353545 data_time: 0.032842 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.895238 2023/08/09 20:48:41 - mmengine - INFO - Epoch(train) [21][110/327] lr: 5.000000e-04 eta: 6:03:09 time: 0.354281 data_time: 0.033010 memory: 4563 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.885215 2023/08/09 20:48:45 - mmengine - INFO - Epoch(train) [21][120/327] lr: 5.000000e-04 eta: 6:03:06 time: 0.356110 data_time: 0.035524 memory: 4563 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.859524 2023/08/09 20:48:48 - mmengine - INFO - Epoch(train) [21][130/327] lr: 5.000000e-04 eta: 6:03:02 time: 0.356329 data_time: 0.035466 memory: 4563 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.779309 2023/08/09 20:48:52 - mmengine - INFO - Epoch(train) [21][140/327] lr: 5.000000e-04 eta: 6:02:58 time: 0.348151 data_time: 0.035111 memory: 4563 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.788177 2023/08/09 20:48:55 - mmengine - INFO - Epoch(train) [21][150/327] lr: 5.000000e-04 eta: 6:02:55 time: 0.348073 data_time: 0.034343 memory: 4563 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.758399 2023/08/09 20:48:59 - mmengine - INFO - Epoch(train) [21][160/327] lr: 5.000000e-04 eta: 6:02:52 time: 0.351988 data_time: 0.035425 memory: 4563 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.885625 2023/08/09 20:49:03 - mmengine - INFO - Epoch(train) [21][170/327] lr: 5.000000e-04 eta: 6:02:48 time: 0.350655 data_time: 0.032432 memory: 4563 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.897414 2023/08/09 20:49:06 - mmengine - INFO - Epoch(train) [21][180/327] lr: 5.000000e-04 eta: 6:02:44 time: 0.350521 data_time: 0.032073 memory: 4563 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.873722 2023/08/09 20:49:10 - mmengine - INFO - Epoch(train) [21][190/327] lr: 5.000000e-04 eta: 6:02:41 time: 0.351184 data_time: 0.031869 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.895380 2023/08/09 20:49:13 - mmengine - INFO - Epoch(train) [21][200/327] lr: 5.000000e-04 eta: 6:02:37 time: 0.351449 data_time: 0.031661 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.911839 2023/08/09 20:49:16 - mmengine - INFO - Epoch(train) [21][210/327] lr: 5.000000e-04 eta: 6:02:33 time: 0.347615 data_time: 0.030394 memory: 4563 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.822414 2023/08/09 20:49:20 - mmengine - INFO - Epoch(train) [21][220/327] lr: 5.000000e-04 eta: 6:02:30 time: 0.350055 data_time: 0.030870 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.762356 2023/08/09 20:49:23 - mmengine - INFO - Epoch(train) [21][230/327] lr: 5.000000e-04 eta: 6:02:26 time: 0.348832 data_time: 0.031073 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.745382 2023/08/09 20:49:27 - mmengine - INFO - Epoch(train) [21][240/327] lr: 5.000000e-04 eta: 6:02:21 time: 0.346994 data_time: 0.031116 memory: 4563 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.835929 2023/08/09 20:49:30 - mmengine - INFO - Epoch(train) [21][250/327] lr: 5.000000e-04 eta: 6:02:17 time: 0.345642 data_time: 0.031012 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.872498 2023/08/09 20:49:34 - mmengine - INFO - Epoch(train) [21][260/327] lr: 5.000000e-04 eta: 6:02:12 time: 0.345162 data_time: 0.030911 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.820279 2023/08/09 20:49:37 - mmengine - INFO - Epoch(train) [21][270/327] lr: 5.000000e-04 eta: 6:02:08 time: 0.341320 data_time: 0.030428 memory: 4563 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.875139 2023/08/09 20:49:41 - mmengine - INFO - Epoch(train) [21][280/327] lr: 5.000000e-04 eta: 6:02:04 time: 0.341562 data_time: 0.030337 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.797469 2023/08/09 20:49:44 - mmengine - INFO - Epoch(train) [21][290/327] lr: 5.000000e-04 eta: 6:02:01 time: 0.345526 data_time: 0.030707 memory: 4563 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.882032 2023/08/09 20:49:48 - mmengine - INFO - Epoch(train) [21][300/327] lr: 5.000000e-04 eta: 6:01:59 time: 0.349945 data_time: 0.031089 memory: 4563 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.847974 2023/08/09 20:49:51 - mmengine - INFO - Epoch(train) [21][310/327] lr: 5.000000e-04 eta: 6:01:54 time: 0.349885 data_time: 0.031085 memory: 4563 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.827313 2023/08/09 20:49:55 - mmengine - INFO - Epoch(train) [21][320/327] lr: 5.000000e-04 eta: 6:01:50 time: 0.350294 data_time: 0.031460 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.889550 2023/08/09 20:49:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:50:01 - mmengine - INFO - Epoch(train) [22][ 10/327] lr: 5.000000e-04 eta: 6:01:44 time: 0.350821 data_time: 0.034333 memory: 4563 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.827404 2023/08/09 20:50:04 - mmengine - INFO - Epoch(train) [22][ 20/327] lr: 5.000000e-04 eta: 6:01:40 time: 0.345274 data_time: 0.033747 memory: 4563 loss: 0.000966 loss_kpt: 0.000966 acc_pose: 0.795529 2023/08/09 20:50:08 - mmengine - INFO - Epoch(train) [22][ 30/327] lr: 5.000000e-04 eta: 6:01:36 time: 0.346327 data_time: 0.034071 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.890491 2023/08/09 20:50:11 - mmengine - INFO - Epoch(train) [22][ 40/327] lr: 5.000000e-04 eta: 6:01:32 time: 0.346885 data_time: 0.033766 memory: 4563 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.849892 2023/08/09 20:50:14 - mmengine - INFO - Epoch(train) [22][ 50/327] lr: 5.000000e-04 eta: 6:01:28 time: 0.346608 data_time: 0.034247 memory: 4563 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.812165 2023/08/09 20:50:18 - mmengine - INFO - Epoch(train) [22][ 60/327] lr: 5.000000e-04 eta: 6:01:22 time: 0.342634 data_time: 0.030661 memory: 4563 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.841268 2023/08/09 20:50:21 - mmengine - INFO - Epoch(train) [22][ 70/327] lr: 5.000000e-04 eta: 6:01:17 time: 0.339286 data_time: 0.030701 memory: 4563 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.806243 2023/08/09 20:50:24 - mmengine - INFO - Epoch(train) [22][ 80/327] lr: 5.000000e-04 eta: 6:01:12 time: 0.337649 data_time: 0.031230 memory: 4563 loss: 0.000948 loss_kpt: 0.000948 acc_pose: 0.863732 2023/08/09 20:50:28 - mmengine - INFO - Epoch(train) [22][ 90/327] lr: 5.000000e-04 eta: 6:01:08 time: 0.335932 data_time: 0.031366 memory: 4563 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.803571 2023/08/09 20:50:31 - mmengine - INFO - Epoch(train) [22][100/327] lr: 5.000000e-04 eta: 6:01:03 time: 0.335509 data_time: 0.031712 memory: 4563 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.693519 2023/08/09 20:50:35 - mmengine - INFO - Epoch(train) [22][110/327] lr: 5.000000e-04 eta: 6:00:58 time: 0.336757 data_time: 0.031861 memory: 4563 loss: 0.000974 loss_kpt: 0.000974 acc_pose: 0.759548 2023/08/09 20:50:38 - mmengine - INFO - Epoch(train) [22][120/327] lr: 5.000000e-04 eta: 6:00:54 time: 0.338773 data_time: 0.032721 memory: 4563 loss: 0.000970 loss_kpt: 0.000970 acc_pose: 0.870822 2023/08/09 20:50:41 - mmengine - INFO - Epoch(train) [22][130/327] lr: 5.000000e-04 eta: 6:00:50 time: 0.339993 data_time: 0.031917 memory: 4563 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.784793 2023/08/09 20:50:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:50:45 - mmengine - INFO - Epoch(train) [22][140/327] lr: 5.000000e-04 eta: 6:00:47 time: 0.343574 data_time: 0.031858 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.848095 2023/08/09 20:50:48 - mmengine - INFO - Epoch(train) [22][150/327] lr: 5.000000e-04 eta: 6:00:42 time: 0.344093 data_time: 0.032076 memory: 4563 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.815412 2023/08/09 20:50:52 - mmengine - INFO - Epoch(train) [22][160/327] lr: 5.000000e-04 eta: 6:00:39 time: 0.347344 data_time: 0.031851 memory: 4563 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.884595 2023/08/09 20:50:55 - mmengine - INFO - Epoch(train) [22][170/327] lr: 5.000000e-04 eta: 6:00:36 time: 0.349603 data_time: 0.031250 memory: 4563 loss: 0.000957 loss_kpt: 0.000957 acc_pose: 0.813002 2023/08/09 20:50:59 - mmengine - INFO - Epoch(train) [22][180/327] lr: 5.000000e-04 eta: 6:00:33 time: 0.351915 data_time: 0.031547 memory: 4563 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.843946 2023/08/09 20:51:02 - mmengine - INFO - Epoch(train) [22][190/327] lr: 5.000000e-04 eta: 6:00:29 time: 0.350037 data_time: 0.031761 memory: 4563 loss: 0.000950 loss_kpt: 0.000950 acc_pose: 0.901341 2023/08/09 20:51:06 - mmengine - INFO - Epoch(train) [22][200/327] lr: 5.000000e-04 eta: 6:00:24 time: 0.349468 data_time: 0.031542 memory: 4563 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.876845 2023/08/09 20:51:09 - mmengine - INFO - Epoch(train) [22][210/327] lr: 5.000000e-04 eta: 6:00:20 time: 0.347430 data_time: 0.031808 memory: 4563 loss: 0.000936 loss_kpt: 0.000936 acc_pose: 0.866910 2023/08/09 20:51:13 - mmengine - INFO - Epoch(train) [22][220/327] lr: 5.000000e-04 eta: 6:00:16 time: 0.346695 data_time: 0.032355 memory: 4563 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.803683 2023/08/09 20:51:16 - mmengine - INFO - Epoch(train) [22][230/327] lr: 5.000000e-04 eta: 6:00:13 time: 0.345170 data_time: 0.032372 memory: 4563 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.825321 2023/08/09 20:51:20 - mmengine - INFO - Epoch(train) [22][240/327] lr: 5.000000e-04 eta: 6:00:09 time: 0.346107 data_time: 0.032310 memory: 4563 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.801746 2023/08/09 20:51:23 - mmengine - INFO - Epoch(train) [22][250/327] lr: 5.000000e-04 eta: 6:00:05 time: 0.348399 data_time: 0.032443 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.825303 2023/08/09 20:51:27 - mmengine - INFO - Epoch(train) [22][260/327] lr: 5.000000e-04 eta: 6:00:02 time: 0.348804 data_time: 0.032467 memory: 4563 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.883929 2023/08/09 20:51:30 - mmengine - INFO - Epoch(train) [22][270/327] lr: 5.000000e-04 eta: 5:59:58 time: 0.350347 data_time: 0.031775 memory: 4563 loss: 0.000959 loss_kpt: 0.000959 acc_pose: 0.856179 2023/08/09 20:51:34 - mmengine - INFO - Epoch(train) [22][280/327] lr: 5.000000e-04 eta: 5:59:54 time: 0.348569 data_time: 0.031713 memory: 4563 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.808862 2023/08/09 20:51:37 - mmengine - INFO - Epoch(train) [22][290/327] lr: 5.000000e-04 eta: 5:59:50 time: 0.346863 data_time: 0.031360 memory: 4563 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.802151 2023/08/09 20:51:41 - mmengine - INFO - Epoch(train) [22][300/327] lr: 5.000000e-04 eta: 5:59:46 time: 0.345598 data_time: 0.031327 memory: 4563 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.838627 2023/08/09 20:51:44 - mmengine - INFO - Epoch(train) [22][310/327] lr: 5.000000e-04 eta: 5:59:42 time: 0.345695 data_time: 0.031291 memory: 4563 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.828212 2023/08/09 20:51:48 - mmengine - INFO - Epoch(train) [22][320/327] lr: 5.000000e-04 eta: 5:59:38 time: 0.344668 data_time: 0.031617 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.765873 2023/08/09 20:51:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:51:54 - mmengine - INFO - Epoch(train) [23][ 10/327] lr: 5.000000e-04 eta: 5:59:33 time: 0.350545 data_time: 0.035148 memory: 4563 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.847414 2023/08/09 20:51:57 - mmengine - INFO - Epoch(train) [23][ 20/327] lr: 5.000000e-04 eta: 5:59:29 time: 0.350609 data_time: 0.034778 memory: 4563 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.840805 2023/08/09 20:52:00 - mmengine - INFO - Epoch(train) [23][ 30/327] lr: 5.000000e-04 eta: 5:59:25 time: 0.349115 data_time: 0.034250 memory: 4563 loss: 0.000960 loss_kpt: 0.000960 acc_pose: 0.897065 2023/08/09 20:52:04 - mmengine - INFO - Epoch(train) [23][ 40/327] lr: 5.000000e-04 eta: 5:59:22 time: 0.352132 data_time: 0.037264 memory: 4563 loss: 0.000973 loss_kpt: 0.000973 acc_pose: 0.861509 2023/08/09 20:52:08 - mmengine - INFO - Epoch(train) [23][ 50/327] lr: 5.000000e-04 eta: 5:59:18 time: 0.353186 data_time: 0.037724 memory: 4563 loss: 0.000984 loss_kpt: 0.000984 acc_pose: 0.885011 2023/08/09 20:52:11 - mmengine - INFO - Epoch(train) [23][ 60/327] lr: 5.000000e-04 eta: 5:59:14 time: 0.347757 data_time: 0.033672 memory: 4563 loss: 0.000993 loss_kpt: 0.000993 acc_pose: 0.771032 2023/08/09 20:52:15 - mmengine - INFO - Epoch(train) [23][ 70/327] lr: 5.000000e-04 eta: 5:59:11 time: 0.348850 data_time: 0.033852 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.881322 2023/08/09 20:52:18 - mmengine - INFO - Epoch(train) [23][ 80/327] lr: 5.000000e-04 eta: 5:59:08 time: 0.353171 data_time: 0.034174 memory: 4563 loss: 0.000977 loss_kpt: 0.000977 acc_pose: 0.817501 2023/08/09 20:52:22 - mmengine - INFO - Epoch(train) [23][ 90/327] lr: 5.000000e-04 eta: 5:59:05 time: 0.353234 data_time: 0.030992 memory: 4563 loss: 0.000991 loss_kpt: 0.000991 acc_pose: 0.826770 2023/08/09 20:52:25 - mmengine - INFO - Epoch(train) [23][100/327] lr: 5.000000e-04 eta: 5:59:02 time: 0.355112 data_time: 0.030692 memory: 4563 loss: 0.000996 loss_kpt: 0.000996 acc_pose: 0.832916 2023/08/09 20:52:29 - mmengine - INFO - Epoch(train) [23][110/327] lr: 5.000000e-04 eta: 5:58:59 time: 0.355762 data_time: 0.030630 memory: 4563 loss: 0.000986 loss_kpt: 0.000986 acc_pose: 0.898148 2023/08/09 20:52:32 - mmengine - INFO - Epoch(train) [23][120/327] lr: 5.000000e-04 eta: 5:58:54 time: 0.353823 data_time: 0.030823 memory: 4563 loss: 0.000978 loss_kpt: 0.000978 acc_pose: 0.854324 2023/08/09 20:52:36 - mmengine - INFO - Epoch(train) [23][130/327] lr: 5.000000e-04 eta: 5:58:51 time: 0.351627 data_time: 0.031485 memory: 4563 loss: 0.000963 loss_kpt: 0.000963 acc_pose: 0.860530 2023/08/09 20:52:39 - mmengine - INFO - Epoch(train) [23][140/327] lr: 5.000000e-04 eta: 5:58:46 time: 0.347553 data_time: 0.031660 memory: 4563 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.824840 2023/08/09 20:52:43 - mmengine - INFO - Epoch(train) [23][150/327] lr: 5.000000e-04 eta: 5:58:42 time: 0.343801 data_time: 0.031409 memory: 4563 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.818910 2023/08/09 20:52:46 - mmengine - INFO - Epoch(train) [23][160/327] lr: 5.000000e-04 eta: 5:58:37 time: 0.342095 data_time: 0.031263 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.748819 2023/08/09 20:52:49 - mmengine - INFO - Epoch(train) [23][170/327] lr: 5.000000e-04 eta: 5:58:33 time: 0.341644 data_time: 0.030760 memory: 4563 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.861453 2023/08/09 20:52:53 - mmengine - INFO - Epoch(train) [23][180/327] lr: 5.000000e-04 eta: 5:58:29 time: 0.339895 data_time: 0.029999 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.800968 2023/08/09 20:52:56 - mmengine - INFO - Epoch(train) [23][190/327] lr: 5.000000e-04 eta: 5:58:26 time: 0.345321 data_time: 0.030388 memory: 4563 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.835909 2023/08/09 20:53:00 - mmengine - INFO - Epoch(train) [23][200/327] lr: 5.000000e-04 eta: 5:58:23 time: 0.348219 data_time: 0.030824 memory: 4563 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.758653 2023/08/09 20:53:03 - mmengine - INFO - Epoch(train) [23][210/327] lr: 5.000000e-04 eta: 5:58:19 time: 0.349327 data_time: 0.030898 memory: 4563 loss: 0.000947 loss_kpt: 0.000947 acc_pose: 0.836290 2023/08/09 20:53:07 - mmengine - INFO - Epoch(train) [23][220/327] lr: 5.000000e-04 eta: 5:58:14 time: 0.348479 data_time: 0.031030 memory: 4563 loss: 0.000961 loss_kpt: 0.000961 acc_pose: 0.881371 2023/08/09 20:53:10 - mmengine - INFO - Epoch(train) [23][230/327] lr: 5.000000e-04 eta: 5:58:11 time: 0.350404 data_time: 0.030861 memory: 4563 loss: 0.000937 loss_kpt: 0.000937 acc_pose: 0.850482 2023/08/09 20:53:14 - mmengine - INFO - Epoch(train) [23][240/327] lr: 5.000000e-04 eta: 5:58:07 time: 0.345072 data_time: 0.030382 memory: 4563 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.736079 2023/08/09 20:53:17 - mmengine - INFO - Epoch(train) [23][250/327] lr: 5.000000e-04 eta: 5:58:03 time: 0.344529 data_time: 0.030195 memory: 4563 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.916071 2023/08/09 20:53:21 - mmengine - INFO - Epoch(train) [23][260/327] lr: 5.000000e-04 eta: 5:58:00 time: 0.345892 data_time: 0.030358 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.850769 2023/08/09 20:53:24 - mmengine - INFO - Epoch(train) [23][270/327] lr: 5.000000e-04 eta: 5:57:56 time: 0.348683 data_time: 0.030595 memory: 4563 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.862103 2023/08/09 20:53:28 - mmengine - INFO - Epoch(train) [23][280/327] lr: 5.000000e-04 eta: 5:57:52 time: 0.347364 data_time: 0.030930 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.795615 2023/08/09 20:53:31 - mmengine - INFO - Epoch(train) [23][290/327] lr: 5.000000e-04 eta: 5:57:48 time: 0.349292 data_time: 0.031072 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.866861 2023/08/09 20:53:35 - mmengine - INFO - Epoch(train) [23][300/327] lr: 5.000000e-04 eta: 5:57:44 time: 0.347407 data_time: 0.031071 memory: 4563 loss: 0.000938 loss_kpt: 0.000938 acc_pose: 0.842052 2023/08/09 20:53:38 - mmengine - INFO - Epoch(train) [23][310/327] lr: 5.000000e-04 eta: 5:57:40 time: 0.345122 data_time: 0.030914 memory: 4563 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.822773 2023/08/09 20:53:42 - mmengine - INFO - Epoch(train) [23][320/327] lr: 5.000000e-04 eta: 5:57:37 time: 0.347295 data_time: 0.031525 memory: 4563 loss: 0.000979 loss_kpt: 0.000979 acc_pose: 0.781152 2023/08/09 20:53:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:53:48 - mmengine - INFO - Epoch(train) [24][ 10/327] lr: 5.000000e-04 eta: 5:57:32 time: 0.350861 data_time: 0.035617 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.852446 2023/08/09 20:53:51 - mmengine - INFO - Epoch(train) [24][ 20/327] lr: 5.000000e-04 eta: 5:57:30 time: 0.354852 data_time: 0.036370 memory: 4563 loss: 0.000951 loss_kpt: 0.000951 acc_pose: 0.855809 2023/08/09 20:53:55 - mmengine - INFO - Epoch(train) [24][ 30/327] lr: 5.000000e-04 eta: 5:57:28 time: 0.361641 data_time: 0.036176 memory: 4563 loss: 0.000967 loss_kpt: 0.000967 acc_pose: 0.777722 2023/08/09 20:53:58 - mmengine - INFO - Epoch(train) [24][ 40/327] lr: 5.000000e-04 eta: 5:57:23 time: 0.356591 data_time: 0.035412 memory: 4563 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.860689 2023/08/09 20:54:02 - mmengine - INFO - Epoch(train) [24][ 50/327] lr: 5.000000e-04 eta: 5:57:18 time: 0.355058 data_time: 0.036152 memory: 4563 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.850926 2023/08/09 20:54:05 - mmengine - INFO - Epoch(train) [24][ 60/327] lr: 5.000000e-04 eta: 5:57:14 time: 0.349003 data_time: 0.030978 memory: 4563 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.863027 2023/08/09 20:54:08 - mmengine - INFO - Epoch(train) [24][ 70/327] lr: 5.000000e-04 eta: 5:57:09 time: 0.344327 data_time: 0.030700 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.854333 2023/08/09 20:54:12 - mmengine - INFO - Epoch(train) [24][ 80/327] lr: 5.000000e-04 eta: 5:57:06 time: 0.340159 data_time: 0.030980 memory: 4563 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.844963 2023/08/09 20:54:15 - mmengine - INFO - Epoch(train) [24][ 90/327] lr: 5.000000e-04 eta: 5:57:01 time: 0.340801 data_time: 0.031323 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.699468 2023/08/09 20:54:19 - mmengine - INFO - Epoch(train) [24][100/327] lr: 5.000000e-04 eta: 5:56:56 time: 0.340089 data_time: 0.032051 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.860427 2023/08/09 20:54:22 - mmengine - INFO - Epoch(train) [24][110/327] lr: 5.000000e-04 eta: 5:56:52 time: 0.339772 data_time: 0.032035 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.827427 2023/08/09 20:54:25 - mmengine - INFO - Epoch(train) [24][120/327] lr: 5.000000e-04 eta: 5:56:47 time: 0.338777 data_time: 0.031563 memory: 4563 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.730252 2023/08/09 20:54:29 - mmengine - INFO - Epoch(train) [24][130/327] lr: 5.000000e-04 eta: 5:56:43 time: 0.337295 data_time: 0.031862 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.834753 2023/08/09 20:54:32 - mmengine - INFO - Epoch(train) [24][140/327] lr: 5.000000e-04 eta: 5:56:39 time: 0.338788 data_time: 0.031748 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.810954 2023/08/09 20:54:36 - mmengine - INFO - Epoch(train) [24][150/327] lr: 5.000000e-04 eta: 5:56:35 time: 0.341788 data_time: 0.031352 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.741197 2023/08/09 20:54:39 - mmengine - INFO - Epoch(train) [24][160/327] lr: 5.000000e-04 eta: 5:56:30 time: 0.341087 data_time: 0.031404 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.887931 2023/08/09 20:54:42 - mmengine - INFO - Epoch(train) [24][170/327] lr: 5.000000e-04 eta: 5:56:26 time: 0.340943 data_time: 0.031342 memory: 4563 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.883333 2023/08/09 20:54:46 - mmengine - INFO - Epoch(train) [24][180/327] lr: 5.000000e-04 eta: 5:56:21 time: 0.338621 data_time: 0.030791 memory: 4563 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.852058 2023/08/09 20:54:49 - mmengine - INFO - Epoch(train) [24][190/327] lr: 5.000000e-04 eta: 5:56:16 time: 0.336551 data_time: 0.030615 memory: 4563 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.843904 2023/08/09 20:54:53 - mmengine - INFO - Epoch(train) [24][200/327] lr: 5.000000e-04 eta: 5:56:11 time: 0.333896 data_time: 0.030378 memory: 4563 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.834435 2023/08/09 20:54:56 - mmengine - INFO - Epoch(train) [24][210/327] lr: 5.000000e-04 eta: 5:56:07 time: 0.336935 data_time: 0.031043 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.844498 2023/08/09 20:54:59 - mmengine - INFO - Epoch(train) [24][220/327] lr: 5.000000e-04 eta: 5:56:03 time: 0.338364 data_time: 0.031685 memory: 4563 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.812644 2023/08/09 20:55:03 - mmengine - INFO - Epoch(train) [24][230/327] lr: 5.000000e-04 eta: 5:55:59 time: 0.340967 data_time: 0.031693 memory: 4563 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.849351 2023/08/09 20:55:06 - mmengine - INFO - Epoch(train) [24][240/327] lr: 5.000000e-04 eta: 5:55:54 time: 0.340889 data_time: 0.031641 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.848563 2023/08/09 20:55:10 - mmengine - INFO - Epoch(train) [24][250/327] lr: 5.000000e-04 eta: 5:55:51 time: 0.343526 data_time: 0.034484 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.797414 2023/08/09 20:55:13 - mmengine - INFO - Epoch(train) [24][260/327] lr: 5.000000e-04 eta: 5:55:46 time: 0.339587 data_time: 0.033578 memory: 4563 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.840074 2023/08/09 20:55:16 - mmengine - INFO - Epoch(train) [24][270/327] lr: 5.000000e-04 eta: 5:55:41 time: 0.339445 data_time: 0.033354 memory: 4563 loss: 0.000944 loss_kpt: 0.000944 acc_pose: 0.777809 2023/08/09 20:55:20 - mmengine - INFO - Epoch(train) [24][280/327] lr: 5.000000e-04 eta: 5:55:37 time: 0.339023 data_time: 0.033660 memory: 4563 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.896711 2023/08/09 20:55:23 - mmengine - INFO - Epoch(train) [24][290/327] lr: 5.000000e-04 eta: 5:55:33 time: 0.340437 data_time: 0.034220 memory: 4563 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.905111 2023/08/09 20:55:27 - mmengine - INFO - Epoch(train) [24][300/327] lr: 5.000000e-04 eta: 5:55:29 time: 0.339539 data_time: 0.031698 memory: 4563 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.871353 2023/08/09 20:55:30 - mmengine - INFO - Epoch(train) [24][310/327] lr: 5.000000e-04 eta: 5:55:24 time: 0.340555 data_time: 0.031872 memory: 4563 loss: 0.000941 loss_kpt: 0.000941 acc_pose: 0.790641 2023/08/09 20:55:33 - mmengine - INFO - Epoch(train) [24][320/327] lr: 5.000000e-04 eta: 5:55:20 time: 0.340810 data_time: 0.031568 memory: 4563 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.821594 2023/08/09 20:55:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:55:39 - mmengine - INFO - Epoch(train) [25][ 10/327] lr: 5.000000e-04 eta: 5:55:14 time: 0.343460 data_time: 0.034742 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.832741 2023/08/09 20:55:43 - mmengine - INFO - Epoch(train) [25][ 20/327] lr: 5.000000e-04 eta: 5:55:10 time: 0.345052 data_time: 0.034453 memory: 4563 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.827771 2023/08/09 20:55:46 - mmengine - INFO - Epoch(train) [25][ 30/327] lr: 5.000000e-04 eta: 5:55:06 time: 0.345889 data_time: 0.034561 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.760893 2023/08/09 20:55:50 - mmengine - INFO - Epoch(train) [25][ 40/327] lr: 5.000000e-04 eta: 5:55:04 time: 0.351272 data_time: 0.035469 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.825292 2023/08/09 20:55:54 - mmengine - INFO - Epoch(train) [25][ 50/327] lr: 5.000000e-04 eta: 5:55:02 time: 0.358718 data_time: 0.036428 memory: 4563 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.827701 2023/08/09 20:55:57 - mmengine - INFO - Epoch(train) [25][ 60/327] lr: 5.000000e-04 eta: 5:54:57 time: 0.352929 data_time: 0.032496 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.859677 2023/08/09 20:56:00 - mmengine - INFO - Epoch(train) [25][ 70/327] lr: 5.000000e-04 eta: 5:54:53 time: 0.350953 data_time: 0.032152 memory: 4563 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.907887 2023/08/09 20:56:04 - mmengine - INFO - Epoch(train) [25][ 80/327] lr: 5.000000e-04 eta: 5:54:49 time: 0.352134 data_time: 0.032370 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.810517 2023/08/09 20:56:08 - mmengine - INFO - Epoch(train) [25][ 90/327] lr: 5.000000e-04 eta: 5:54:47 time: 0.352043 data_time: 0.032388 memory: 4563 loss: 0.000931 loss_kpt: 0.000931 acc_pose: 0.858995 2023/08/09 20:56:11 - mmengine - INFO - Epoch(train) [25][100/327] lr: 5.000000e-04 eta: 5:54:45 time: 0.351997 data_time: 0.032569 memory: 4563 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.827267 2023/08/09 20:56:15 - mmengine - INFO - Epoch(train) [25][110/327] lr: 5.000000e-04 eta: 5:54:42 time: 0.355777 data_time: 0.035617 memory: 4563 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.801323 2023/08/09 20:56:18 - mmengine - INFO - Epoch(train) [25][120/327] lr: 5.000000e-04 eta: 5:54:37 time: 0.354856 data_time: 0.035300 memory: 4563 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.787320 2023/08/09 20:56:22 - mmengine - INFO - Epoch(train) [25][130/327] lr: 5.000000e-04 eta: 5:54:33 time: 0.352758 data_time: 0.034945 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.823810 2023/08/09 20:56:25 - mmengine - INFO - Epoch(train) [25][140/327] lr: 5.000000e-04 eta: 5:54:28 time: 0.346748 data_time: 0.033928 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.878900 2023/08/09 20:56:28 - mmengine - INFO - Epoch(train) [25][150/327] lr: 5.000000e-04 eta: 5:54:24 time: 0.342896 data_time: 0.033224 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.828704 2023/08/09 20:56:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:56:32 - mmengine - INFO - Epoch(train) [25][160/327] lr: 5.000000e-04 eta: 5:54:22 time: 0.345149 data_time: 0.030207 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.879772 2023/08/09 20:56:35 - mmengine - INFO - Epoch(train) [25][170/327] lr: 5.000000e-04 eta: 5:54:18 time: 0.345743 data_time: 0.031187 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.890230 2023/08/09 20:56:39 - mmengine - INFO - Epoch(train) [25][180/327] lr: 5.000000e-04 eta: 5:54:15 time: 0.349219 data_time: 0.031916 memory: 4563 loss: 0.000939 loss_kpt: 0.000939 acc_pose: 0.890517 2023/08/09 20:56:43 - mmengine - INFO - Epoch(train) [25][190/327] lr: 5.000000e-04 eta: 5:54:11 time: 0.351259 data_time: 0.032595 memory: 4563 loss: 0.000942 loss_kpt: 0.000942 acc_pose: 0.841018 2023/08/09 20:56:46 - mmengine - INFO - Epoch(train) [25][200/327] lr: 5.000000e-04 eta: 5:54:07 time: 0.351126 data_time: 0.032645 memory: 4563 loss: 0.000949 loss_kpt: 0.000949 acc_pose: 0.772088 2023/08/09 20:56:49 - mmengine - INFO - Epoch(train) [25][210/327] lr: 5.000000e-04 eta: 5:54:02 time: 0.344709 data_time: 0.032272 memory: 4563 loss: 0.000946 loss_kpt: 0.000946 acc_pose: 0.840361 2023/08/09 20:56:53 - mmengine - INFO - Epoch(train) [25][220/327] lr: 5.000000e-04 eta: 5:53:58 time: 0.345490 data_time: 0.031704 memory: 4563 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.872065 2023/08/09 20:56:56 - mmengine - INFO - Epoch(train) [25][230/327] lr: 5.000000e-04 eta: 5:53:55 time: 0.345128 data_time: 0.031493 memory: 4563 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.870733 2023/08/09 20:57:00 - mmengine - INFO - Epoch(train) [25][240/327] lr: 5.000000e-04 eta: 5:53:51 time: 0.343757 data_time: 0.030881 memory: 4563 loss: 0.000925 loss_kpt: 0.000925 acc_pose: 0.847715 2023/08/09 20:57:03 - mmengine - INFO - Epoch(train) [25][250/327] lr: 5.000000e-04 eta: 5:53:48 time: 0.346006 data_time: 0.031060 memory: 4563 loss: 0.000919 loss_kpt: 0.000919 acc_pose: 0.775456 2023/08/09 20:57:07 - mmengine - INFO - Epoch(train) [25][260/327] lr: 5.000000e-04 eta: 5:53:45 time: 0.350784 data_time: 0.031025 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.833062 2023/08/09 20:57:11 - mmengine - INFO - Epoch(train) [25][270/327] lr: 5.000000e-04 eta: 5:53:43 time: 0.356466 data_time: 0.030576 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.750301 2023/08/09 20:57:14 - mmengine - INFO - Epoch(train) [25][280/327] lr: 5.000000e-04 eta: 5:53:39 time: 0.354047 data_time: 0.030220 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.815230 2023/08/09 20:57:18 - mmengine - INFO - Epoch(train) [25][290/327] lr: 5.000000e-04 eta: 5:53:37 time: 0.359611 data_time: 0.030486 memory: 4563 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.840428 2023/08/09 20:57:21 - mmengine - INFO - Epoch(train) [25][300/327] lr: 5.000000e-04 eta: 5:53:34 time: 0.361142 data_time: 0.030564 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.835479 2023/08/09 20:57:25 - mmengine - INFO - Epoch(train) [25][310/327] lr: 5.000000e-04 eta: 5:53:31 time: 0.360692 data_time: 0.031094 memory: 4563 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.838180 2023/08/09 20:57:29 - mmengine - INFO - Epoch(train) [25][320/327] lr: 5.000000e-04 eta: 5:53:31 time: 0.364457 data_time: 0.032197 memory: 4563 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.738030 2023/08/09 20:57:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:57:35 - mmengine - INFO - Epoch(train) [26][ 10/327] lr: 5.000000e-04 eta: 5:53:27 time: 0.372435 data_time: 0.035041 memory: 4563 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.856229 2023/08/09 20:57:38 - mmengine - INFO - Epoch(train) [26][ 20/327] lr: 5.000000e-04 eta: 5:53:23 time: 0.363880 data_time: 0.034548 memory: 4563 loss: 0.000928 loss_kpt: 0.000928 acc_pose: 0.790669 2023/08/09 20:57:42 - mmengine - INFO - Epoch(train) [26][ 30/327] lr: 5.000000e-04 eta: 5:53:20 time: 0.364410 data_time: 0.034409 memory: 4563 loss: 0.000904 loss_kpt: 0.000904 acc_pose: 0.828341 2023/08/09 20:57:46 - mmengine - INFO - Epoch(train) [26][ 40/327] lr: 5.000000e-04 eta: 5:53:17 time: 0.359606 data_time: 0.033827 memory: 4563 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.852730 2023/08/09 20:57:49 - mmengine - INFO - Epoch(train) [26][ 50/327] lr: 5.000000e-04 eta: 5:53:13 time: 0.355053 data_time: 0.034610 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.786310 2023/08/09 20:57:53 - mmengine - INFO - Epoch(train) [26][ 60/327] lr: 5.000000e-04 eta: 5:53:09 time: 0.348692 data_time: 0.030926 memory: 4563 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.866092 2023/08/09 20:57:56 - mmengine - INFO - Epoch(train) [26][ 70/327] lr: 5.000000e-04 eta: 5:53:05 time: 0.349188 data_time: 0.031171 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.849970 2023/08/09 20:57:59 - mmengine - INFO - Epoch(train) [26][ 80/327] lr: 5.000000e-04 eta: 5:53:01 time: 0.347676 data_time: 0.031469 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.826866 2023/08/09 20:58:03 - mmengine - INFO - Epoch(train) [26][ 90/327] lr: 5.000000e-04 eta: 5:52:58 time: 0.345015 data_time: 0.031800 memory: 4563 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.826190 2023/08/09 20:58:06 - mmengine - INFO - Epoch(train) [26][100/327] lr: 5.000000e-04 eta: 5:52:54 time: 0.344397 data_time: 0.031645 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.870370 2023/08/09 20:58:10 - mmengine - INFO - Epoch(train) [26][110/327] lr: 5.000000e-04 eta: 5:52:50 time: 0.345665 data_time: 0.031928 memory: 4563 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.836207 2023/08/09 20:58:13 - mmengine - INFO - Epoch(train) [26][120/327] lr: 5.000000e-04 eta: 5:52:47 time: 0.350357 data_time: 0.032648 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.750739 2023/08/09 20:58:17 - mmengine - INFO - Epoch(train) [26][130/327] lr: 5.000000e-04 eta: 5:52:47 time: 0.358121 data_time: 0.036685 memory: 4563 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.867181 2023/08/09 20:58:21 - mmengine - INFO - Epoch(train) [26][140/327] lr: 5.000000e-04 eta: 5:52:44 time: 0.360897 data_time: 0.036455 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.872989 2023/08/09 20:58:24 - mmengine - INFO - Epoch(train) [26][150/327] lr: 5.000000e-04 eta: 5:52:40 time: 0.361480 data_time: 0.036278 memory: 4563 loss: 0.000917 loss_kpt: 0.000917 acc_pose: 0.785852 2023/08/09 20:58:28 - mmengine - INFO - Epoch(train) [26][160/327] lr: 5.000000e-04 eta: 5:52:36 time: 0.362458 data_time: 0.036208 memory: 4563 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.824907 2023/08/09 20:58:32 - mmengine - INFO - Epoch(train) [26][170/327] lr: 5.000000e-04 eta: 5:52:34 time: 0.361562 data_time: 0.036069 memory: 4563 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.880667 2023/08/09 20:58:35 - mmengine - INFO - Epoch(train) [26][180/327] lr: 5.000000e-04 eta: 5:52:33 time: 0.361498 data_time: 0.032409 memory: 4563 loss: 0.000943 loss_kpt: 0.000943 acc_pose: 0.850632 2023/08/09 20:58:39 - mmengine - INFO - Epoch(train) [26][190/327] lr: 5.000000e-04 eta: 5:52:31 time: 0.363579 data_time: 0.032447 memory: 4563 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.885596 2023/08/09 20:58:43 - mmengine - INFO - Epoch(train) [26][200/327] lr: 5.000000e-04 eta: 5:52:27 time: 0.363503 data_time: 0.032992 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.868534 2023/08/09 20:58:46 - mmengine - INFO - Epoch(train) [26][210/327] lr: 5.000000e-04 eta: 5:52:23 time: 0.362693 data_time: 0.032827 memory: 4563 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.871152 2023/08/09 20:58:50 - mmengine - INFO - Epoch(train) [26][220/327] lr: 5.000000e-04 eta: 5:52:20 time: 0.361530 data_time: 0.032195 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.834463 2023/08/09 20:58:53 - mmengine - INFO - Epoch(train) [26][230/327] lr: 5.000000e-04 eta: 5:52:16 time: 0.353802 data_time: 0.031660 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.844991 2023/08/09 20:58:57 - mmengine - INFO - Epoch(train) [26][240/327] lr: 5.000000e-04 eta: 5:52:14 time: 0.351885 data_time: 0.031514 memory: 4563 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.775290 2023/08/09 20:59:00 - mmengine - INFO - Epoch(train) [26][250/327] lr: 5.000000e-04 eta: 5:52:12 time: 0.356857 data_time: 0.031968 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.811140 2023/08/09 20:59:05 - mmengine - INFO - Epoch(train) [26][260/327] lr: 5.000000e-04 eta: 5:52:12 time: 0.369189 data_time: 0.032922 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.760735 2023/08/09 20:59:08 - mmengine - INFO - Epoch(train) [26][270/327] lr: 5.000000e-04 eta: 5:52:12 time: 0.376533 data_time: 0.032990 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.857360 2023/08/09 20:59:12 - mmengine - INFO - Epoch(train) [26][280/327] lr: 5.000000e-04 eta: 5:52:08 time: 0.375897 data_time: 0.033384 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.810484 2023/08/09 20:59:16 - mmengine - INFO - Epoch(train) [26][290/327] lr: 5.000000e-04 eta: 5:52:06 time: 0.376840 data_time: 0.033401 memory: 4563 loss: 0.000906 loss_kpt: 0.000906 acc_pose: 0.813136 2023/08/09 20:59:19 - mmengine - INFO - Epoch(train) [26][300/327] lr: 5.000000e-04 eta: 5:52:03 time: 0.375292 data_time: 0.032905 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.849526 2023/08/09 20:59:23 - mmengine - INFO - Epoch(train) [26][310/327] lr: 5.000000e-04 eta: 5:52:00 time: 0.365737 data_time: 0.032915 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.860489 2023/08/09 20:59:26 - mmengine - INFO - Epoch(train) [26][320/327] lr: 5.000000e-04 eta: 5:51:57 time: 0.358637 data_time: 0.033615 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.745983 2023/08/09 20:59:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 20:59:33 - mmengine - INFO - Epoch(train) [27][ 10/327] lr: 5.000000e-04 eta: 5:51:52 time: 0.358928 data_time: 0.037354 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.785740 2023/08/09 20:59:36 - mmengine - INFO - Epoch(train) [27][ 20/327] lr: 5.000000e-04 eta: 5:51:49 time: 0.357747 data_time: 0.037429 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.825585 2023/08/09 20:59:40 - mmengine - INFO - Epoch(train) [27][ 30/327] lr: 5.000000e-04 eta: 5:51:46 time: 0.356595 data_time: 0.036630 memory: 4563 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.834885 2023/08/09 20:59:43 - mmengine - INFO - Epoch(train) [27][ 40/327] lr: 5.000000e-04 eta: 5:51:43 time: 0.359186 data_time: 0.036892 memory: 4563 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.825657 2023/08/09 20:59:47 - mmengine - INFO - Epoch(train) [27][ 50/327] lr: 5.000000e-04 eta: 5:51:40 time: 0.361275 data_time: 0.037873 memory: 4563 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.888392 2023/08/09 20:59:51 - mmengine - INFO - Epoch(train) [27][ 60/327] lr: 5.000000e-04 eta: 5:51:37 time: 0.359810 data_time: 0.033480 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.817952 2023/08/09 20:59:54 - mmengine - INFO - Epoch(train) [27][ 70/327] lr: 5.000000e-04 eta: 5:51:34 time: 0.358061 data_time: 0.033589 memory: 4563 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.813332 2023/08/09 20:59:57 - mmengine - INFO - Epoch(train) [27][ 80/327] lr: 5.000000e-04 eta: 5:51:30 time: 0.355061 data_time: 0.033506 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.887128 2023/08/09 21:00:01 - mmengine - INFO - Epoch(train) [27][ 90/327] lr: 5.000000e-04 eta: 5:51:27 time: 0.355870 data_time: 0.032762 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.797989 2023/08/09 21:00:05 - mmengine - INFO - Epoch(train) [27][100/327] lr: 5.000000e-04 eta: 5:51:24 time: 0.355244 data_time: 0.033320 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.835479 2023/08/09 21:00:08 - mmengine - INFO - Epoch(train) [27][110/327] lr: 5.000000e-04 eta: 5:51:21 time: 0.354198 data_time: 0.032781 memory: 4563 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.889501 2023/08/09 21:00:12 - mmengine - INFO - Epoch(train) [27][120/327] lr: 5.000000e-04 eta: 5:51:17 time: 0.354531 data_time: 0.032582 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.892992 2023/08/09 21:00:15 - mmengine - INFO - Epoch(train) [27][130/327] lr: 5.000000e-04 eta: 5:51:15 time: 0.360256 data_time: 0.032563 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.753273 2023/08/09 21:00:19 - mmengine - INFO - Epoch(train) [27][140/327] lr: 5.000000e-04 eta: 5:51:14 time: 0.362905 data_time: 0.032353 memory: 4563 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.818646 2023/08/09 21:00:23 - mmengine - INFO - Epoch(train) [27][150/327] lr: 5.000000e-04 eta: 5:51:10 time: 0.361193 data_time: 0.031832 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.831745 2023/08/09 21:00:26 - mmengine - INFO - Epoch(train) [27][160/327] lr: 5.000000e-04 eta: 5:51:07 time: 0.361211 data_time: 0.032139 memory: 4563 loss: 0.000886 loss_kpt: 0.000886 acc_pose: 0.835122 2023/08/09 21:00:30 - mmengine - INFO - Epoch(train) [27][170/327] lr: 5.000000e-04 eta: 5:51:05 time: 0.366197 data_time: 0.032318 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.860794 2023/08/09 21:00:34 - mmengine - INFO - Epoch(train) [27][180/327] lr: 5.000000e-04 eta: 5:51:03 time: 0.364865 data_time: 0.032600 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.886243 2023/08/09 21:00:37 - mmengine - INFO - Epoch(train) [27][190/327] lr: 5.000000e-04 eta: 5:51:00 time: 0.362203 data_time: 0.032850 memory: 4563 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.822284 2023/08/09 21:00:41 - mmengine - INFO - Epoch(train) [27][200/327] lr: 5.000000e-04 eta: 5:50:56 time: 0.361359 data_time: 0.032622 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.915720 2023/08/09 21:00:44 - mmengine - INFO - Epoch(train) [27][210/327] lr: 5.000000e-04 eta: 5:50:52 time: 0.358613 data_time: 0.031593 memory: 4563 loss: 0.000887 loss_kpt: 0.000887 acc_pose: 0.727414 2023/08/09 21:00:48 - mmengine - INFO - Epoch(train) [27][220/327] lr: 5.000000e-04 eta: 5:50:49 time: 0.354315 data_time: 0.031313 memory: 4563 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.883929 2023/08/09 21:00:51 - mmengine - INFO - Epoch(train) [27][230/327] lr: 5.000000e-04 eta: 5:50:44 time: 0.349198 data_time: 0.030657 memory: 4563 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.857719 2023/08/09 21:00:55 - mmengine - INFO - Epoch(train) [27][240/327] lr: 5.000000e-04 eta: 5:50:42 time: 0.349007 data_time: 0.030394 memory: 4563 loss: 0.000911 loss_kpt: 0.000911 acc_pose: 0.787931 2023/08/09 21:00:58 - mmengine - INFO - Epoch(train) [27][250/327] lr: 5.000000e-04 eta: 5:50:39 time: 0.352856 data_time: 0.030611 memory: 4563 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.792919 2023/08/09 21:01:02 - mmengine - INFO - Epoch(train) [27][260/327] lr: 5.000000e-04 eta: 5:50:35 time: 0.353125 data_time: 0.030954 memory: 4563 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.855899 2023/08/09 21:01:05 - mmengine - INFO - Epoch(train) [27][270/327] lr: 5.000000e-04 eta: 5:50:31 time: 0.351917 data_time: 0.030986 memory: 4563 loss: 0.000902 loss_kpt: 0.000902 acc_pose: 0.849654 2023/08/09 21:01:09 - mmengine - INFO - Epoch(train) [27][280/327] lr: 5.000000e-04 eta: 5:50:27 time: 0.352410 data_time: 0.031097 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.914076 2023/08/09 21:01:12 - mmengine - INFO - Epoch(train) [27][290/327] lr: 5.000000e-04 eta: 5:50:23 time: 0.348080 data_time: 0.031621 memory: 4563 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.867850 2023/08/09 21:01:16 - mmengine - INFO - Epoch(train) [27][300/327] lr: 5.000000e-04 eta: 5:50:20 time: 0.345146 data_time: 0.031316 memory: 4563 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.804943 2023/08/09 21:01:19 - mmengine - INFO - Epoch(train) [27][310/327] lr: 5.000000e-04 eta: 5:50:17 time: 0.349513 data_time: 0.032105 memory: 4563 loss: 0.000932 loss_kpt: 0.000932 acc_pose: 0.771549 2023/08/09 21:01:23 - mmengine - INFO - Epoch(train) [27][320/327] lr: 5.000000e-04 eta: 5:50:13 time: 0.349960 data_time: 0.032308 memory: 4563 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.818925 2023/08/09 21:01:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:01:29 - mmengine - INFO - Epoch(train) [28][ 10/327] lr: 5.000000e-04 eta: 5:50:07 time: 0.351757 data_time: 0.035347 memory: 4563 loss: 0.000945 loss_kpt: 0.000945 acc_pose: 0.741038 2023/08/09 21:01:32 - mmengine - INFO - Epoch(train) [28][ 20/327] lr: 5.000000e-04 eta: 5:50:03 time: 0.351559 data_time: 0.035414 memory: 4563 loss: 0.000930 loss_kpt: 0.000930 acc_pose: 0.885484 2023/08/09 21:01:36 - mmengine - INFO - Epoch(train) [28][ 30/327] lr: 5.000000e-04 eta: 5:49:59 time: 0.344776 data_time: 0.034753 memory: 4563 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.830261 2023/08/09 21:01:39 - mmengine - INFO - Epoch(train) [28][ 40/327] lr: 5.000000e-04 eta: 5:49:55 time: 0.344539 data_time: 0.034293 memory: 4563 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.829350 2023/08/09 21:01:42 - mmengine - INFO - Epoch(train) [28][ 50/327] lr: 5.000000e-04 eta: 5:49:51 time: 0.344085 data_time: 0.034496 memory: 4563 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.820361 2023/08/09 21:01:46 - mmengine - INFO - Epoch(train) [28][ 60/327] lr: 5.000000e-04 eta: 5:49:47 time: 0.343078 data_time: 0.030862 memory: 4563 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.827552 2023/08/09 21:01:50 - mmengine - INFO - Epoch(train) [28][ 70/327] lr: 5.000000e-04 eta: 5:49:45 time: 0.350387 data_time: 0.031206 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.875176 2023/08/09 21:01:54 - mmengine - INFO - Epoch(train) [28][ 80/327] lr: 5.000000e-04 eta: 5:49:44 time: 0.360923 data_time: 0.031083 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.801062 2023/08/09 21:01:57 - mmengine - INFO - Epoch(train) [28][ 90/327] lr: 5.000000e-04 eta: 5:49:41 time: 0.361894 data_time: 0.030971 memory: 4563 loss: 0.000915 loss_kpt: 0.000915 acc_pose: 0.751429 2023/08/09 21:02:01 - mmengine - INFO - Epoch(train) [28][100/327] lr: 5.000000e-04 eta: 5:49:37 time: 0.361269 data_time: 0.031448 memory: 4563 loss: 0.000929 loss_kpt: 0.000929 acc_pose: 0.838476 2023/08/09 21:02:04 - mmengine - INFO - Epoch(train) [28][110/327] lr: 5.000000e-04 eta: 5:49:32 time: 0.358566 data_time: 0.032123 memory: 4563 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.932434 2023/08/09 21:02:07 - mmengine - INFO - Epoch(train) [28][120/327] lr: 5.000000e-04 eta: 5:49:28 time: 0.350523 data_time: 0.031917 memory: 4563 loss: 0.000907 loss_kpt: 0.000907 acc_pose: 0.886587 2023/08/09 21:02:11 - mmengine - INFO - Epoch(train) [28][130/327] lr: 5.000000e-04 eta: 5:49:24 time: 0.342827 data_time: 0.032159 memory: 4563 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.872126 2023/08/09 21:02:15 - mmengine - INFO - Epoch(train) [28][140/327] lr: 5.000000e-04 eta: 5:49:23 time: 0.349221 data_time: 0.033342 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.883387 2023/08/09 21:02:18 - mmengine - INFO - Epoch(train) [28][150/327] lr: 5.000000e-04 eta: 5:49:18 time: 0.349309 data_time: 0.032550 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.890643 2023/08/09 21:02:21 - mmengine - INFO - Epoch(train) [28][160/327] lr: 5.000000e-04 eta: 5:49:14 time: 0.350403 data_time: 0.032019 memory: 4563 loss: 0.000893 loss_kpt: 0.000893 acc_pose: 0.901409 2023/08/09 21:02:25 - mmengine - INFO - Epoch(train) [28][170/327] lr: 5.000000e-04 eta: 5:49:10 time: 0.350007 data_time: 0.032050 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.907354 2023/08/09 21:02:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:02:28 - mmengine - INFO - Epoch(train) [28][180/327] lr: 5.000000e-04 eta: 5:49:05 time: 0.347280 data_time: 0.031552 memory: 4563 loss: 0.000903 loss_kpt: 0.000903 acc_pose: 0.763671 2023/08/09 21:02:32 - mmengine - INFO - Epoch(train) [28][190/327] lr: 5.000000e-04 eta: 5:49:01 time: 0.337287 data_time: 0.030465 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.839172 2023/08/09 21:02:35 - mmengine - INFO - Epoch(train) [28][200/327] lr: 5.000000e-04 eta: 5:48:58 time: 0.342545 data_time: 0.034263 memory: 4563 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.753966 2023/08/09 21:02:39 - mmengine - INFO - Epoch(train) [28][210/327] lr: 5.000000e-04 eta: 5:48:54 time: 0.344148 data_time: 0.034356 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.890502 2023/08/09 21:02:42 - mmengine - INFO - Epoch(train) [28][220/327] lr: 5.000000e-04 eta: 5:48:50 time: 0.343417 data_time: 0.034159 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.828822 2023/08/09 21:02:45 - mmengine - INFO - Epoch(train) [28][230/327] lr: 5.000000e-04 eta: 5:48:45 time: 0.343400 data_time: 0.034204 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.665251 2023/08/09 21:02:49 - mmengine - INFO - Epoch(train) [28][240/327] lr: 5.000000e-04 eta: 5:48:40 time: 0.342169 data_time: 0.034170 memory: 4563 loss: 0.000927 loss_kpt: 0.000927 acc_pose: 0.829686 2023/08/09 21:02:52 - mmengine - INFO - Epoch(train) [28][250/327] lr: 5.000000e-04 eta: 5:48:36 time: 0.336560 data_time: 0.030529 memory: 4563 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.738324 2023/08/09 21:02:56 - mmengine - INFO - Epoch(train) [28][260/327] lr: 5.000000e-04 eta: 5:48:32 time: 0.337656 data_time: 0.030763 memory: 4563 loss: 0.000934 loss_kpt: 0.000934 acc_pose: 0.832468 2023/08/09 21:02:59 - mmengine - INFO - Epoch(train) [28][270/327] lr: 5.000000e-04 eta: 5:48:29 time: 0.342286 data_time: 0.031517 memory: 4563 loss: 0.000933 loss_kpt: 0.000933 acc_pose: 0.879167 2023/08/09 21:03:02 - mmengine - INFO - Epoch(train) [28][280/327] lr: 5.000000e-04 eta: 5:48:25 time: 0.343384 data_time: 0.031697 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.842701 2023/08/09 21:03:06 - mmengine - INFO - Epoch(train) [28][290/327] lr: 5.000000e-04 eta: 5:48:21 time: 0.345332 data_time: 0.032287 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.757508 2023/08/09 21:03:09 - mmengine - INFO - Epoch(train) [28][300/327] lr: 5.000000e-04 eta: 5:48:16 time: 0.344898 data_time: 0.032218 memory: 4563 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.893427 2023/08/09 21:03:13 - mmengine - INFO - Epoch(train) [28][310/327] lr: 5.000000e-04 eta: 5:48:12 time: 0.341044 data_time: 0.031734 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.860685 2023/08/09 21:03:16 - mmengine - INFO - Epoch(train) [28][320/327] lr: 5.000000e-04 eta: 5:48:07 time: 0.336141 data_time: 0.031091 memory: 4563 loss: 0.000894 loss_kpt: 0.000894 acc_pose: 0.880055 2023/08/09 21:03:18 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:03:22 - mmengine - INFO - Epoch(train) [29][ 10/327] lr: 5.000000e-04 eta: 5:48:01 time: 0.341614 data_time: 0.034138 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.857834 2023/08/09 21:03:25 - mmengine - INFO - Epoch(train) [29][ 20/327] lr: 5.000000e-04 eta: 5:47:58 time: 0.344852 data_time: 0.034337 memory: 4563 loss: 0.000926 loss_kpt: 0.000926 acc_pose: 0.832131 2023/08/09 21:03:29 - mmengine - INFO - Epoch(train) [29][ 30/327] lr: 5.000000e-04 eta: 5:47:54 time: 0.346492 data_time: 0.035233 memory: 4563 loss: 0.000952 loss_kpt: 0.000952 acc_pose: 0.800515 2023/08/09 21:03:32 - mmengine - INFO - Epoch(train) [29][ 40/327] lr: 5.000000e-04 eta: 5:47:51 time: 0.351175 data_time: 0.038668 memory: 4563 loss: 0.000956 loss_kpt: 0.000956 acc_pose: 0.846190 2023/08/09 21:03:36 - mmengine - INFO - Epoch(train) [29][ 50/327] lr: 5.000000e-04 eta: 5:47:47 time: 0.354716 data_time: 0.040124 memory: 4563 loss: 0.000935 loss_kpt: 0.000935 acc_pose: 0.786657 2023/08/09 21:03:40 - mmengine - INFO - Epoch(train) [29][ 60/327] lr: 5.000000e-04 eta: 5:47:45 time: 0.354576 data_time: 0.037577 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.880332 2023/08/09 21:03:43 - mmengine - INFO - Epoch(train) [29][ 70/327] lr: 5.000000e-04 eta: 5:47:41 time: 0.353324 data_time: 0.037574 memory: 4563 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.866382 2023/08/09 21:03:47 - mmengine - INFO - Epoch(train) [29][ 80/327] lr: 5.000000e-04 eta: 5:47:38 time: 0.355180 data_time: 0.037011 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.831190 2023/08/09 21:03:50 - mmengine - INFO - Epoch(train) [29][ 90/327] lr: 5.000000e-04 eta: 5:47:36 time: 0.360066 data_time: 0.034558 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.848286 2023/08/09 21:03:54 - mmengine - INFO - Epoch(train) [29][100/327] lr: 5.000000e-04 eta: 5:47:32 time: 0.358669 data_time: 0.034161 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.852651 2023/08/09 21:03:57 - mmengine - INFO - Epoch(train) [29][110/327] lr: 5.000000e-04 eta: 5:47:28 time: 0.351869 data_time: 0.032830 memory: 4563 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.835391 2023/08/09 21:04:01 - mmengine - INFO - Epoch(train) [29][120/327] lr: 5.000000e-04 eta: 5:47:24 time: 0.353334 data_time: 0.033829 memory: 4563 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.785317 2023/08/09 21:04:05 - mmengine - INFO - Epoch(train) [29][130/327] lr: 5.000000e-04 eta: 5:47:23 time: 0.358602 data_time: 0.034129 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.810232 2023/08/09 21:04:08 - mmengine - INFO - Epoch(train) [29][140/327] lr: 5.000000e-04 eta: 5:47:20 time: 0.356240 data_time: 0.033685 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.789831 2023/08/09 21:04:12 - mmengine - INFO - Epoch(train) [29][150/327] lr: 5.000000e-04 eta: 5:47:18 time: 0.361645 data_time: 0.033329 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.768519 2023/08/09 21:04:16 - mmengine - INFO - Epoch(train) [29][160/327] lr: 5.000000e-04 eta: 5:47:17 time: 0.372528 data_time: 0.033974 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.840517 2023/08/09 21:04:20 - mmengine - INFO - Epoch(train) [29][170/327] lr: 5.000000e-04 eta: 5:47:16 time: 0.378773 data_time: 0.032919 memory: 4563 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.926867 2023/08/09 21:04:24 - mmengine - INFO - Epoch(train) [29][180/327] lr: 5.000000e-04 eta: 5:47:15 time: 0.380972 data_time: 0.032331 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.862605 2023/08/09 21:04:28 - mmengine - INFO - Epoch(train) [29][190/327] lr: 5.000000e-04 eta: 5:47:14 time: 0.385614 data_time: 0.031987 memory: 4563 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.758979 2023/08/09 21:04:31 - mmengine - INFO - Epoch(train) [29][200/327] lr: 5.000000e-04 eta: 5:47:11 time: 0.383292 data_time: 0.032290 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.885433 2023/08/09 21:04:35 - mmengine - INFO - Epoch(train) [29][210/327] lr: 5.000000e-04 eta: 5:47:08 time: 0.378326 data_time: 0.034907 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.736392 2023/08/09 21:04:38 - mmengine - INFO - Epoch(train) [29][220/327] lr: 5.000000e-04 eta: 5:47:05 time: 0.374054 data_time: 0.035443 memory: 4563 loss: 0.000916 loss_kpt: 0.000916 acc_pose: 0.845608 2023/08/09 21:04:42 - mmengine - INFO - Epoch(train) [29][230/327] lr: 5.000000e-04 eta: 5:47:02 time: 0.364938 data_time: 0.035564 memory: 4563 loss: 0.000914 loss_kpt: 0.000914 acc_pose: 0.832340 2023/08/09 21:04:45 - mmengine - INFO - Epoch(train) [29][240/327] lr: 5.000000e-04 eta: 5:46:57 time: 0.354866 data_time: 0.035316 memory: 4563 loss: 0.000909 loss_kpt: 0.000909 acc_pose: 0.791682 2023/08/09 21:04:49 - mmengine - INFO - Epoch(train) [29][250/327] lr: 5.000000e-04 eta: 5:46:53 time: 0.351705 data_time: 0.034789 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.808405 2023/08/09 21:04:52 - mmengine - INFO - Epoch(train) [29][260/327] lr: 5.000000e-04 eta: 5:46:50 time: 0.348930 data_time: 0.031629 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.839011 2023/08/09 21:04:56 - mmengine - INFO - Epoch(train) [29][270/327] lr: 5.000000e-04 eta: 5:46:46 time: 0.346719 data_time: 0.031082 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.857703 2023/08/09 21:04:59 - mmengine - INFO - Epoch(train) [29][280/327] lr: 5.000000e-04 eta: 5:46:43 time: 0.347022 data_time: 0.031276 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.789105 2023/08/09 21:05:03 - mmengine - INFO - Epoch(train) [29][290/327] lr: 5.000000e-04 eta: 5:46:40 time: 0.353403 data_time: 0.031374 memory: 4563 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.947044 2023/08/09 21:05:06 - mmengine - INFO - Epoch(train) [29][300/327] lr: 5.000000e-04 eta: 5:46:36 time: 0.353378 data_time: 0.031440 memory: 4563 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.834864 2023/08/09 21:05:10 - mmengine - INFO - Epoch(train) [29][310/327] lr: 5.000000e-04 eta: 5:46:32 time: 0.349981 data_time: 0.031059 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.851447 2023/08/09 21:05:13 - mmengine - INFO - Epoch(train) [29][320/327] lr: 5.000000e-04 eta: 5:46:28 time: 0.349676 data_time: 0.031168 memory: 4563 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.840040 2023/08/09 21:05:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:05:19 - mmengine - INFO - Epoch(train) [30][ 10/327] lr: 5.000000e-04 eta: 5:46:23 time: 0.346794 data_time: 0.034547 memory: 4563 loss: 0.000901 loss_kpt: 0.000901 acc_pose: 0.813839 2023/08/09 21:05:23 - mmengine - INFO - Epoch(train) [30][ 20/327] lr: 5.000000e-04 eta: 5:46:19 time: 0.347021 data_time: 0.034940 memory: 4563 loss: 0.000918 loss_kpt: 0.000918 acc_pose: 0.763900 2023/08/09 21:05:26 - mmengine - INFO - Epoch(train) [30][ 30/327] lr: 5.000000e-04 eta: 5:46:15 time: 0.347791 data_time: 0.035313 memory: 4563 loss: 0.000905 loss_kpt: 0.000905 acc_pose: 0.825880 2023/08/09 21:05:30 - mmengine - INFO - Epoch(train) [30][ 40/327] lr: 5.000000e-04 eta: 5:46:10 time: 0.346642 data_time: 0.035512 memory: 4563 loss: 0.000922 loss_kpt: 0.000922 acc_pose: 0.826117 2023/08/09 21:05:33 - mmengine - INFO - Epoch(train) [30][ 50/327] lr: 5.000000e-04 eta: 5:46:07 time: 0.349096 data_time: 0.038342 memory: 4563 loss: 0.000923 loss_kpt: 0.000923 acc_pose: 0.822179 2023/08/09 21:05:36 - mmengine - INFO - Epoch(train) [30][ 60/327] lr: 5.000000e-04 eta: 5:46:03 time: 0.343186 data_time: 0.034355 memory: 4563 loss: 0.000913 loss_kpt: 0.000913 acc_pose: 0.712738 2023/08/09 21:05:40 - mmengine - INFO - Epoch(train) [30][ 70/327] lr: 5.000000e-04 eta: 5:45:58 time: 0.340881 data_time: 0.033905 memory: 4563 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.873848 2023/08/09 21:05:43 - mmengine - INFO - Epoch(train) [30][ 80/327] lr: 5.000000e-04 eta: 5:45:54 time: 0.339818 data_time: 0.033834 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.860943 2023/08/09 21:05:47 - mmengine - INFO - Epoch(train) [30][ 90/327] lr: 5.000000e-04 eta: 5:45:50 time: 0.341524 data_time: 0.034111 memory: 4563 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.868997 2023/08/09 21:05:50 - mmengine - INFO - Epoch(train) [30][100/327] lr: 5.000000e-04 eta: 5:45:46 time: 0.337519 data_time: 0.031286 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.851520 2023/08/09 21:05:54 - mmengine - INFO - Epoch(train) [30][110/327] lr: 5.000000e-04 eta: 5:45:42 time: 0.342268 data_time: 0.031293 memory: 4563 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.864680 2023/08/09 21:05:57 - mmengine - INFO - Epoch(train) [30][120/327] lr: 5.000000e-04 eta: 5:45:38 time: 0.343331 data_time: 0.031319 memory: 4563 loss: 0.000896 loss_kpt: 0.000896 acc_pose: 0.796490 2023/08/09 21:06:00 - mmengine - INFO - Epoch(train) [30][130/327] lr: 5.000000e-04 eta: 5:45:34 time: 0.343250 data_time: 0.030724 memory: 4563 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.865721 2023/08/09 21:06:04 - mmengine - INFO - Epoch(train) [30][140/327] lr: 5.000000e-04 eta: 5:45:29 time: 0.341227 data_time: 0.030262 memory: 4563 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.790675 2023/08/09 21:06:07 - mmengine - INFO - Epoch(train) [30][150/327] lr: 5.000000e-04 eta: 5:45:25 time: 0.342289 data_time: 0.030559 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.759984 2023/08/09 21:06:11 - mmengine - INFO - Epoch(train) [30][160/327] lr: 5.000000e-04 eta: 5:45:21 time: 0.338770 data_time: 0.030824 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.838064 2023/08/09 21:06:14 - mmengine - INFO - Epoch(train) [30][170/327] lr: 5.000000e-04 eta: 5:45:18 time: 0.343535 data_time: 0.031107 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.868011 2023/08/09 21:06:18 - mmengine - INFO - Epoch(train) [30][180/327] lr: 5.000000e-04 eta: 5:45:16 time: 0.349803 data_time: 0.031311 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.836717 2023/08/09 21:06:21 - mmengine - INFO - Epoch(train) [30][190/327] lr: 5.000000e-04 eta: 5:45:11 time: 0.348529 data_time: 0.031136 memory: 4563 loss: 0.000895 loss_kpt: 0.000895 acc_pose: 0.849554 2023/08/09 21:06:24 - mmengine - INFO - Epoch(train) [30][200/327] lr: 5.000000e-04 eta: 5:45:06 time: 0.346362 data_time: 0.030690 memory: 4563 loss: 0.000908 loss_kpt: 0.000908 acc_pose: 0.861761 2023/08/09 21:06:28 - mmengine - INFO - Epoch(train) [30][210/327] lr: 5.000000e-04 eta: 5:45:03 time: 0.348448 data_time: 0.033199 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.912213 2023/08/09 21:06:31 - mmengine - INFO - Epoch(train) [30][220/327] lr: 5.000000e-04 eta: 5:44:59 time: 0.344514 data_time: 0.032965 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.849782 2023/08/09 21:06:35 - mmengine - INFO - Epoch(train) [30][230/327] lr: 5.000000e-04 eta: 5:44:55 time: 0.341013 data_time: 0.033589 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.921137 2023/08/09 21:06:39 - mmengine - INFO - Epoch(train) [30][240/327] lr: 5.000000e-04 eta: 5:44:52 time: 0.347528 data_time: 0.033885 memory: 4563 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.802910 2023/08/09 21:06:42 - mmengine - INFO - Epoch(train) [30][250/327] lr: 5.000000e-04 eta: 5:44:49 time: 0.351960 data_time: 0.034284 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.815303 2023/08/09 21:06:45 - mmengine - INFO - Epoch(train) [30][260/327] lr: 5.000000e-04 eta: 5:44:44 time: 0.347936 data_time: 0.031584 memory: 4563 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.815406 2023/08/09 21:06:49 - mmengine - INFO - Epoch(train) [30][270/327] lr: 5.000000e-04 eta: 5:44:39 time: 0.345482 data_time: 0.031364 memory: 4563 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.873609 2023/08/09 21:06:52 - mmengine - INFO - Epoch(train) [30][280/327] lr: 5.000000e-04 eta: 5:44:35 time: 0.342349 data_time: 0.030641 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.890382 2023/08/09 21:06:55 - mmengine - INFO - Epoch(train) [30][290/327] lr: 5.000000e-04 eta: 5:44:30 time: 0.336904 data_time: 0.030402 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.776322 2023/08/09 21:06:59 - mmengine - INFO - Epoch(train) [30][300/327] lr: 5.000000e-04 eta: 5:44:27 time: 0.337210 data_time: 0.030723 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.847352 2023/08/09 21:07:02 - mmengine - INFO - Epoch(train) [30][310/327] lr: 5.000000e-04 eta: 5:44:23 time: 0.339192 data_time: 0.031352 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.887007 2023/08/09 21:07:06 - mmengine - INFO - Epoch(train) [30][320/327] lr: 5.000000e-04 eta: 5:44:19 time: 0.341071 data_time: 0.031386 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.828920 2023/08/09 21:07:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:07:08 - mmengine - INFO - Saving checkpoint at 30 epochs 2023/08/09 21:07:14 - mmengine - INFO - Epoch(val) [30][10/79] eta: 0:00:14 time: 0.196013 data_time: 0.013252 memory: 4563 2023/08/09 21:07:16 - mmengine - INFO - Epoch(val) [30][20/79] eta: 0:00:11 time: 0.196073 data_time: 0.013384 memory: 1634 2023/08/09 21:07:18 - mmengine - INFO - Epoch(val) [30][30/79] eta: 0:00:09 time: 0.196192 data_time: 0.013531 memory: 1634 2023/08/09 21:07:20 - mmengine - INFO - Epoch(val) [30][40/79] eta: 0:00:07 time: 0.196466 data_time: 0.013765 memory: 1634 2023/08/09 21:07:22 - mmengine - INFO - Epoch(val) [30][50/79] eta: 0:00:05 time: 0.198592 data_time: 0.014058 memory: 1634 2023/08/09 21:07:24 - mmengine - INFO - Epoch(val) [30][60/79] eta: 0:00:03 time: 0.196005 data_time: 0.011799 memory: 1634 2023/08/09 21:07:26 - mmengine - INFO - Epoch(val) [30][70/79] eta: 0:00:01 time: 0.196001 data_time: 0.011810 memory: 1634 2023/08/09 21:07:27 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 21:07:28 - mmengine - INFO - Evaluating AUC... 2023/08/09 21:07:28 - mmengine - INFO - Evaluating EPE... 2023/08/09 21:07:28 - mmengine - INFO - Epoch(val) [30][79/79] PCK: 0.970693 AUC: 0.741192 EPE: 9.950578 data_time: 0.012996 time: 0.195264 2023/08/09 21:07:28 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_20.pth is removed 2023/08/09 21:07:30 - mmengine - INFO - The best checkpoint with 0.7412 AUC at 30 epoch is saved to best_AUC_epoch_30.pth. 2023/08/09 21:07:37 - mmengine - INFO - Epoch(train) [31][ 10/327] lr: 5.000000e-04 eta: 5:44:12 time: 0.343699 data_time: 0.035018 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.813518 2023/08/09 21:07:41 - mmengine - INFO - Epoch(train) [31][ 20/327] lr: 5.000000e-04 eta: 5:44:08 time: 0.340162 data_time: 0.034933 memory: 4563 loss: 0.000883 loss_kpt: 0.000883 acc_pose: 0.825062 2023/08/09 21:07:44 - mmengine - INFO - Epoch(train) [31][ 30/327] lr: 5.000000e-04 eta: 5:44:04 time: 0.340075 data_time: 0.034328 memory: 4563 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.770211 2023/08/09 21:07:48 - mmengine - INFO - Epoch(train) [31][ 40/327] lr: 5.000000e-04 eta: 5:44:01 time: 0.343412 data_time: 0.034714 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.914594 2023/08/09 21:07:51 - mmengine - INFO - Epoch(train) [31][ 50/327] lr: 5.000000e-04 eta: 5:43:57 time: 0.347380 data_time: 0.035969 memory: 4563 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.801982 2023/08/09 21:07:55 - mmengine - INFO - Epoch(train) [31][ 60/327] lr: 5.000000e-04 eta: 5:43:53 time: 0.345557 data_time: 0.032206 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.697822 2023/08/09 21:07:58 - mmengine - INFO - Epoch(train) [31][ 70/327] lr: 5.000000e-04 eta: 5:43:50 time: 0.350257 data_time: 0.031978 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.859977 2023/08/09 21:08:02 - mmengine - INFO - Epoch(train) [31][ 80/327] lr: 5.000000e-04 eta: 5:43:46 time: 0.349049 data_time: 0.032275 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.802381 2023/08/09 21:08:05 - mmengine - INFO - Epoch(train) [31][ 90/327] lr: 5.000000e-04 eta: 5:43:43 time: 0.349421 data_time: 0.035963 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.879032 2023/08/09 21:08:09 - mmengine - INFO - Epoch(train) [31][100/327] lr: 5.000000e-04 eta: 5:43:38 time: 0.348588 data_time: 0.036188 memory: 4563 loss: 0.000866 loss_kpt: 0.000866 acc_pose: 0.868359 2023/08/09 21:08:12 - mmengine - INFO - Epoch(train) [31][110/327] lr: 5.000000e-04 eta: 5:43:36 time: 0.353275 data_time: 0.037009 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.864202 2023/08/09 21:08:16 - mmengine - INFO - Epoch(train) [31][120/327] lr: 5.000000e-04 eta: 5:43:34 time: 0.356309 data_time: 0.038057 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.817688 2023/08/09 21:08:19 - mmengine - INFO - Epoch(train) [31][130/327] lr: 5.000000e-04 eta: 5:43:30 time: 0.356927 data_time: 0.037667 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.897436 2023/08/09 21:08:23 - mmengine - INFO - Epoch(train) [31][140/327] lr: 5.000000e-04 eta: 5:43:26 time: 0.352806 data_time: 0.033738 memory: 4563 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.806376 2023/08/09 21:08:26 - mmengine - INFO - Epoch(train) [31][150/327] lr: 5.000000e-04 eta: 5:43:22 time: 0.353371 data_time: 0.033306 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.846667 2023/08/09 21:08:30 - mmengine - INFO - Epoch(train) [31][160/327] lr: 5.000000e-04 eta: 5:43:21 time: 0.357264 data_time: 0.031938 memory: 4563 loss: 0.000891 loss_kpt: 0.000891 acc_pose: 0.915602 2023/08/09 21:08:34 - mmengine - INFO - Epoch(train) [31][170/327] lr: 5.000000e-04 eta: 5:43:16 time: 0.350719 data_time: 0.030957 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.860795 2023/08/09 21:08:37 - mmengine - INFO - Epoch(train) [31][180/327] lr: 5.000000e-04 eta: 5:43:12 time: 0.349064 data_time: 0.030812 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.938871 2023/08/09 21:08:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:08:40 - mmengine - INFO - Epoch(train) [31][190/327] lr: 5.000000e-04 eta: 5:43:08 time: 0.350005 data_time: 0.030851 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.840092 2023/08/09 21:08:44 - mmengine - INFO - Epoch(train) [31][200/327] lr: 5.000000e-04 eta: 5:43:04 time: 0.350446 data_time: 0.030993 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.814967 2023/08/09 21:08:47 - mmengine - INFO - Epoch(train) [31][210/327] lr: 5.000000e-04 eta: 5:42:59 time: 0.337815 data_time: 0.030696 memory: 4563 loss: 0.000897 loss_kpt: 0.000897 acc_pose: 0.878316 2023/08/09 21:08:50 - mmengine - INFO - Epoch(train) [31][220/327] lr: 5.000000e-04 eta: 5:42:55 time: 0.338227 data_time: 0.030564 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.843127 2023/08/09 21:08:54 - mmengine - INFO - Epoch(train) [31][230/327] lr: 5.000000e-04 eta: 5:42:51 time: 0.338106 data_time: 0.030463 memory: 4563 loss: 0.000910 loss_kpt: 0.000910 acc_pose: 0.816752 2023/08/09 21:08:57 - mmengine - INFO - Epoch(train) [31][240/327] lr: 5.000000e-04 eta: 5:42:47 time: 0.337921 data_time: 0.031242 memory: 4563 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.955004 2023/08/09 21:09:01 - mmengine - INFO - Epoch(train) [31][250/327] lr: 5.000000e-04 eta: 5:42:43 time: 0.337468 data_time: 0.032130 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.794226 2023/08/09 21:09:04 - mmengine - INFO - Epoch(train) [31][260/327] lr: 5.000000e-04 eta: 5:42:38 time: 0.339338 data_time: 0.032400 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.927225 2023/08/09 21:09:08 - mmengine - INFO - Epoch(train) [31][270/327] lr: 5.000000e-04 eta: 5:42:35 time: 0.341730 data_time: 0.033465 memory: 4563 loss: 0.000874 loss_kpt: 0.000874 acc_pose: 0.867026 2023/08/09 21:09:11 - mmengine - INFO - Epoch(train) [31][280/327] lr: 5.000000e-04 eta: 5:42:34 time: 0.352599 data_time: 0.034336 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.814771 2023/08/09 21:09:15 - mmengine - INFO - Epoch(train) [31][290/327] lr: 5.000000e-04 eta: 5:42:29 time: 0.352220 data_time: 0.033804 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.832619 2023/08/09 21:09:18 - mmengine - INFO - Epoch(train) [31][300/327] lr: 5.000000e-04 eta: 5:42:26 time: 0.355944 data_time: 0.037271 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.869330 2023/08/09 21:09:22 - mmengine - INFO - Epoch(train) [31][310/327] lr: 5.000000e-04 eta: 5:42:23 time: 0.357616 data_time: 0.037936 memory: 4563 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.850195 2023/08/09 21:09:25 - mmengine - INFO - Epoch(train) [31][320/327] lr: 5.000000e-04 eta: 5:42:19 time: 0.356447 data_time: 0.037231 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.832512 2023/08/09 21:09:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:09:31 - mmengine - INFO - Epoch(train) [32][ 10/327] lr: 5.000000e-04 eta: 5:42:14 time: 0.352154 data_time: 0.040368 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.916342 2023/08/09 21:09:35 - mmengine - INFO - Epoch(train) [32][ 20/327] lr: 5.000000e-04 eta: 5:42:09 time: 0.351158 data_time: 0.039398 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.916055 2023/08/09 21:09:38 - mmengine - INFO - Epoch(train) [32][ 30/327] lr: 5.000000e-04 eta: 5:42:05 time: 0.345367 data_time: 0.035115 memory: 4563 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.930111 2023/08/09 21:09:41 - mmengine - INFO - Epoch(train) [32][ 40/327] lr: 5.000000e-04 eta: 5:42:00 time: 0.342120 data_time: 0.034788 memory: 4563 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.831705 2023/08/09 21:09:45 - mmengine - INFO - Epoch(train) [32][ 50/327] lr: 5.000000e-04 eta: 5:41:56 time: 0.342393 data_time: 0.035429 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.845025 2023/08/09 21:09:48 - mmengine - INFO - Epoch(train) [32][ 60/327] lr: 5.000000e-04 eta: 5:41:53 time: 0.341109 data_time: 0.031431 memory: 4563 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.882028 2023/08/09 21:09:52 - mmengine - INFO - Epoch(train) [32][ 70/327] lr: 5.000000e-04 eta: 5:41:49 time: 0.342642 data_time: 0.031453 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.849893 2023/08/09 21:09:56 - mmengine - INFO - Epoch(train) [32][ 80/327] lr: 5.000000e-04 eta: 5:41:48 time: 0.351754 data_time: 0.031942 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.933333 2023/08/09 21:09:59 - mmengine - INFO - Epoch(train) [32][ 90/327] lr: 5.000000e-04 eta: 5:41:43 time: 0.352550 data_time: 0.031919 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.862521 2023/08/09 21:10:02 - mmengine - INFO - Epoch(train) [32][100/327] lr: 5.000000e-04 eta: 5:41:39 time: 0.351178 data_time: 0.031549 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.897289 2023/08/09 21:10:06 - mmengine - INFO - Epoch(train) [32][110/327] lr: 5.000000e-04 eta: 5:41:34 time: 0.345757 data_time: 0.031200 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.819401 2023/08/09 21:10:09 - mmengine - INFO - Epoch(train) [32][120/327] lr: 5.000000e-04 eta: 5:41:30 time: 0.343817 data_time: 0.031183 memory: 4563 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.824200 2023/08/09 21:10:13 - mmengine - INFO - Epoch(train) [32][130/327] lr: 5.000000e-04 eta: 5:41:26 time: 0.337186 data_time: 0.031461 memory: 4563 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.845104 2023/08/09 21:10:16 - mmengine - INFO - Epoch(train) [32][140/327] lr: 5.000000e-04 eta: 5:41:22 time: 0.337314 data_time: 0.031758 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.755281 2023/08/09 21:10:19 - mmengine - INFO - Epoch(train) [32][150/327] lr: 5.000000e-04 eta: 5:41:18 time: 0.338286 data_time: 0.032004 memory: 4563 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.828017 2023/08/09 21:10:23 - mmengine - INFO - Epoch(train) [32][160/327] lr: 5.000000e-04 eta: 5:41:13 time: 0.337909 data_time: 0.031982 memory: 4563 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.847049 2023/08/09 21:10:26 - mmengine - INFO - Epoch(train) [32][170/327] lr: 5.000000e-04 eta: 5:41:10 time: 0.341529 data_time: 0.035472 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.859603 2023/08/09 21:10:30 - mmengine - INFO - Epoch(train) [32][180/327] lr: 5.000000e-04 eta: 5:41:06 time: 0.340034 data_time: 0.035333 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.885066 2023/08/09 21:10:33 - mmengine - INFO - Epoch(train) [32][190/327] lr: 5.000000e-04 eta: 5:41:01 time: 0.340521 data_time: 0.035537 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.911022 2023/08/09 21:10:37 - mmengine - INFO - Epoch(train) [32][200/327] lr: 5.000000e-04 eta: 5:40:58 time: 0.343180 data_time: 0.035827 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.791619 2023/08/09 21:10:40 - mmengine - INFO - Epoch(train) [32][210/327] lr: 5.000000e-04 eta: 5:40:54 time: 0.344888 data_time: 0.036561 memory: 4563 loss: 0.000889 loss_kpt: 0.000889 acc_pose: 0.805983 2023/08/09 21:10:43 - mmengine - INFO - Epoch(train) [32][220/327] lr: 5.000000e-04 eta: 5:40:50 time: 0.344822 data_time: 0.033422 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.882912 2023/08/09 21:10:47 - mmengine - INFO - Epoch(train) [32][230/327] lr: 5.000000e-04 eta: 5:40:46 time: 0.345093 data_time: 0.032717 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.899388 2023/08/09 21:10:50 - mmengine - INFO - Epoch(train) [32][240/327] lr: 5.000000e-04 eta: 5:40:42 time: 0.345169 data_time: 0.032405 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.824602 2023/08/09 21:10:54 - mmengine - INFO - Epoch(train) [32][250/327] lr: 5.000000e-04 eta: 5:40:40 time: 0.348975 data_time: 0.032552 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.783399 2023/08/09 21:10:58 - mmengine - INFO - Epoch(train) [32][260/327] lr: 5.000000e-04 eta: 5:40:38 time: 0.355408 data_time: 0.033700 memory: 4563 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.842822 2023/08/09 21:11:01 - mmengine - INFO - Epoch(train) [32][270/327] lr: 5.000000e-04 eta: 5:40:34 time: 0.355541 data_time: 0.033379 memory: 4563 loss: 0.000877 loss_kpt: 0.000877 acc_pose: 0.849042 2023/08/09 21:11:05 - mmengine - INFO - Epoch(train) [32][280/327] lr: 5.000000e-04 eta: 5:40:31 time: 0.356529 data_time: 0.033692 memory: 4563 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.906568 2023/08/09 21:11:08 - mmengine - INFO - Epoch(train) [32][290/327] lr: 5.000000e-04 eta: 5:40:27 time: 0.358080 data_time: 0.033611 memory: 4563 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.825229 2023/08/09 21:11:12 - mmengine - INFO - Epoch(train) [32][300/327] lr: 5.000000e-04 eta: 5:40:24 time: 0.356492 data_time: 0.033095 memory: 4563 loss: 0.000850 loss_kpt: 0.000850 acc_pose: 0.824507 2023/08/09 21:11:15 - mmengine - INFO - Epoch(train) [32][310/327] lr: 5.000000e-04 eta: 5:40:20 time: 0.351696 data_time: 0.031515 memory: 4563 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.875570 2023/08/09 21:11:19 - mmengine - INFO - Epoch(train) [32][320/327] lr: 5.000000e-04 eta: 5:40:16 time: 0.347687 data_time: 0.031482 memory: 4563 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.916208 2023/08/09 21:11:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:11:25 - mmengine - INFO - Epoch(train) [33][ 10/327] lr: 5.000000e-04 eta: 5:40:11 time: 0.353526 data_time: 0.035471 memory: 4563 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.779135 2023/08/09 21:11:28 - mmengine - INFO - Epoch(train) [33][ 20/327] lr: 5.000000e-04 eta: 5:40:07 time: 0.352092 data_time: 0.035529 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.808532 2023/08/09 21:11:32 - mmengine - INFO - Epoch(train) [33][ 30/327] lr: 5.000000e-04 eta: 5:40:03 time: 0.348543 data_time: 0.035922 memory: 4563 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.876058 2023/08/09 21:11:35 - mmengine - INFO - Epoch(train) [33][ 40/327] lr: 5.000000e-04 eta: 5:39:59 time: 0.348551 data_time: 0.037121 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.879536 2023/08/09 21:11:39 - mmengine - INFO - Epoch(train) [33][ 50/327] lr: 5.000000e-04 eta: 5:39:55 time: 0.349567 data_time: 0.037589 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.836194 2023/08/09 21:11:42 - mmengine - INFO - Epoch(train) [33][ 60/327] lr: 5.000000e-04 eta: 5:39:52 time: 0.343620 data_time: 0.033643 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.906609 2023/08/09 21:11:45 - mmengine - INFO - Epoch(train) [33][ 70/327] lr: 5.000000e-04 eta: 5:39:48 time: 0.344749 data_time: 0.033710 memory: 4563 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.807143 2023/08/09 21:11:49 - mmengine - INFO - Epoch(train) [33][ 80/327] lr: 5.000000e-04 eta: 5:39:44 time: 0.345999 data_time: 0.033893 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.813823 2023/08/09 21:11:52 - mmengine - INFO - Epoch(train) [33][ 90/327] lr: 5.000000e-04 eta: 5:39:41 time: 0.347547 data_time: 0.032832 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.866858 2023/08/09 21:11:56 - mmengine - INFO - Epoch(train) [33][100/327] lr: 5.000000e-04 eta: 5:39:37 time: 0.348490 data_time: 0.032855 memory: 4563 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.873351 2023/08/09 21:11:59 - mmengine - INFO - Epoch(train) [33][110/327] lr: 5.000000e-04 eta: 5:39:33 time: 0.347246 data_time: 0.032586 memory: 4563 loss: 0.000882 loss_kpt: 0.000882 acc_pose: 0.798646 2023/08/09 21:12:03 - mmengine - INFO - Epoch(train) [33][120/327] lr: 5.000000e-04 eta: 5:39:29 time: 0.346982 data_time: 0.032403 memory: 4563 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.874957 2023/08/09 21:12:07 - mmengine - INFO - Epoch(train) [33][130/327] lr: 5.000000e-04 eta: 5:39:27 time: 0.350357 data_time: 0.032409 memory: 4563 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.863062 2023/08/09 21:12:10 - mmengine - INFO - Epoch(train) [33][140/327] lr: 5.000000e-04 eta: 5:39:24 time: 0.355245 data_time: 0.032919 memory: 4563 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.861111 2023/08/09 21:12:14 - mmengine - INFO - Epoch(train) [33][150/327] lr: 5.000000e-04 eta: 5:39:24 time: 0.366874 data_time: 0.033940 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.786757 2023/08/09 21:12:18 - mmengine - INFO - Epoch(train) [33][160/327] lr: 5.000000e-04 eta: 5:39:24 time: 0.379146 data_time: 0.035099 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.873955 2023/08/09 21:12:22 - mmengine - INFO - Epoch(train) [33][170/327] lr: 5.000000e-04 eta: 5:39:23 time: 0.390314 data_time: 0.036151 memory: 4563 loss: 0.000924 loss_kpt: 0.000924 acc_pose: 0.892644 2023/08/09 21:12:26 - mmengine - INFO - Epoch(train) [33][180/327] lr: 5.000000e-04 eta: 5:39:22 time: 0.398016 data_time: 0.037209 memory: 4563 loss: 0.000921 loss_kpt: 0.000921 acc_pose: 0.803089 2023/08/09 21:12:31 - mmengine - INFO - Epoch(train) [33][190/327] lr: 5.000000e-04 eta: 5:39:22 time: 0.407298 data_time: 0.037178 memory: 4563 loss: 0.000899 loss_kpt: 0.000899 acc_pose: 0.806701 2023/08/09 21:12:35 - mmengine - INFO - Epoch(train) [33][200/327] lr: 5.000000e-04 eta: 5:39:22 time: 0.405903 data_time: 0.036692 memory: 4563 loss: 0.000884 loss_kpt: 0.000884 acc_pose: 0.906841 2023/08/09 21:12:39 - mmengine - INFO - Epoch(train) [33][210/327] lr: 5.000000e-04 eta: 5:39:21 time: 0.405144 data_time: 0.036808 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.860343 2023/08/09 21:12:43 - mmengine - INFO - Epoch(train) [33][220/327] lr: 5.000000e-04 eta: 5:39:19 time: 0.403150 data_time: 0.037532 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.864501 2023/08/09 21:12:46 - mmengine - INFO - Epoch(train) [33][230/327] lr: 5.000000e-04 eta: 5:39:18 time: 0.399808 data_time: 0.037013 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.855574 2023/08/09 21:12:50 - mmengine - INFO - Epoch(train) [33][240/327] lr: 5.000000e-04 eta: 5:39:16 time: 0.394341 data_time: 0.037892 memory: 4563 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.799774 2023/08/09 21:12:54 - mmengine - INFO - Epoch(train) [33][250/327] lr: 5.000000e-04 eta: 5:39:13 time: 0.384628 data_time: 0.037831 memory: 4563 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.862590 2023/08/09 21:12:57 - mmengine - INFO - Epoch(train) [33][260/327] lr: 5.000000e-04 eta: 5:39:09 time: 0.374215 data_time: 0.036853 memory: 4563 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.907434 2023/08/09 21:13:01 - mmengine - INFO - Epoch(train) [33][270/327] lr: 5.000000e-04 eta: 5:39:06 time: 0.365648 data_time: 0.035201 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.910426 2023/08/09 21:13:04 - mmengine - INFO - Epoch(train) [33][280/327] lr: 5.000000e-04 eta: 5:39:02 time: 0.359017 data_time: 0.034404 memory: 4563 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.873795 2023/08/09 21:13:08 - mmengine - INFO - Epoch(train) [33][290/327] lr: 5.000000e-04 eta: 5:38:59 time: 0.352874 data_time: 0.033196 memory: 4563 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.843077 2023/08/09 21:13:11 - mmengine - INFO - Epoch(train) [33][300/327] lr: 5.000000e-04 eta: 5:38:56 time: 0.352188 data_time: 0.032481 memory: 4563 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.853448 2023/08/09 21:13:15 - mmengine - INFO - Epoch(train) [33][310/327] lr: 5.000000e-04 eta: 5:38:55 time: 0.361383 data_time: 0.032012 memory: 4563 loss: 0.000855 loss_kpt: 0.000855 acc_pose: 0.829941 2023/08/09 21:13:19 - mmengine - INFO - Epoch(train) [33][320/327] lr: 5.000000e-04 eta: 5:38:53 time: 0.369540 data_time: 0.031812 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.901001 2023/08/09 21:13:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:13:25 - mmengine - INFO - Epoch(train) [34][ 10/327] lr: 5.000000e-04 eta: 5:38:47 time: 0.368005 data_time: 0.034858 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.864080 2023/08/09 21:13:29 - mmengine - INFO - Epoch(train) [34][ 20/327] lr: 5.000000e-04 eta: 5:38:44 time: 0.368810 data_time: 0.034879 memory: 4563 loss: 0.000875 loss_kpt: 0.000875 acc_pose: 0.899104 2023/08/09 21:13:32 - mmengine - INFO - Epoch(train) [34][ 30/327] lr: 5.000000e-04 eta: 5:38:40 time: 0.361302 data_time: 0.035435 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.840230 2023/08/09 21:13:36 - mmengine - INFO - Epoch(train) [34][ 40/327] lr: 5.000000e-04 eta: 5:38:37 time: 0.353649 data_time: 0.035841 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.925544 2023/08/09 21:13:39 - mmengine - INFO - Epoch(train) [34][ 50/327] lr: 5.000000e-04 eta: 5:38:33 time: 0.354409 data_time: 0.036218 memory: 4563 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.811559 2023/08/09 21:13:43 - mmengine - INFO - Epoch(train) [34][ 60/327] lr: 5.000000e-04 eta: 5:38:29 time: 0.349482 data_time: 0.033087 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.903571 2023/08/09 21:13:46 - mmengine - INFO - Epoch(train) [34][ 70/327] lr: 5.000000e-04 eta: 5:38:26 time: 0.347917 data_time: 0.033562 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.900774 2023/08/09 21:13:50 - mmengine - INFO - Epoch(train) [34][ 80/327] lr: 5.000000e-04 eta: 5:38:22 time: 0.348657 data_time: 0.033606 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.902179 2023/08/09 21:13:54 - mmengine - INFO - Epoch(train) [34][ 90/327] lr: 5.000000e-04 eta: 5:38:20 time: 0.352113 data_time: 0.033547 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.773990 2023/08/09 21:13:57 - mmengine - INFO - Epoch(train) [34][100/327] lr: 5.000000e-04 eta: 5:38:17 time: 0.357397 data_time: 0.033633 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.830648 2023/08/09 21:14:01 - mmengine - INFO - Epoch(train) [34][110/327] lr: 5.000000e-04 eta: 5:38:14 time: 0.360066 data_time: 0.033444 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.896689 2023/08/09 21:14:04 - mmengine - INFO - Epoch(train) [34][120/327] lr: 5.000000e-04 eta: 5:38:10 time: 0.360226 data_time: 0.032629 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.819775 2023/08/09 21:14:08 - mmengine - INFO - Epoch(train) [34][130/327] lr: 5.000000e-04 eta: 5:38:07 time: 0.360801 data_time: 0.032616 memory: 4563 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.857006 2023/08/09 21:14:11 - mmengine - INFO - Epoch(train) [34][140/327] lr: 5.000000e-04 eta: 5:38:03 time: 0.355401 data_time: 0.032376 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.784515 2023/08/09 21:14:15 - mmengine - INFO - Epoch(train) [34][150/327] lr: 5.000000e-04 eta: 5:38:00 time: 0.352794 data_time: 0.032284 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.895012 2023/08/09 21:14:19 - mmengine - INFO - Epoch(train) [34][160/327] lr: 5.000000e-04 eta: 5:37:58 time: 0.355314 data_time: 0.032303 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.841350 2023/08/09 21:14:22 - mmengine - INFO - Epoch(train) [34][170/327] lr: 5.000000e-04 eta: 5:37:54 time: 0.357564 data_time: 0.032953 memory: 4563 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.823983 2023/08/09 21:14:26 - mmengine - INFO - Epoch(train) [34][180/327] lr: 5.000000e-04 eta: 5:37:52 time: 0.360623 data_time: 0.032724 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.826580 2023/08/09 21:14:30 - mmengine - INFO - Epoch(train) [34][190/327] lr: 5.000000e-04 eta: 5:37:49 time: 0.365004 data_time: 0.032837 memory: 4563 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.848762 2023/08/09 21:14:33 - mmengine - INFO - Epoch(train) [34][200/327] lr: 5.000000e-04 eta: 5:37:47 time: 0.368984 data_time: 0.032795 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.868582 2023/08/09 21:14:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:14:37 - mmengine - INFO - Epoch(train) [34][210/327] lr: 5.000000e-04 eta: 5:37:44 time: 0.366946 data_time: 0.032173 memory: 4563 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.962251 2023/08/09 21:14:40 - mmengine - INFO - Epoch(train) [34][220/327] lr: 5.000000e-04 eta: 5:37:40 time: 0.364362 data_time: 0.031511 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.775415 2023/08/09 21:14:44 - mmengine - INFO - Epoch(train) [34][230/327] lr: 5.000000e-04 eta: 5:37:38 time: 0.363222 data_time: 0.031859 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.872346 2023/08/09 21:14:48 - mmengine - INFO - Epoch(train) [34][240/327] lr: 5.000000e-04 eta: 5:37:34 time: 0.359534 data_time: 0.032138 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.720402 2023/08/09 21:14:51 - mmengine - INFO - Epoch(train) [34][250/327] lr: 5.000000e-04 eta: 5:37:30 time: 0.353693 data_time: 0.032378 memory: 4563 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.792188 2023/08/09 21:14:55 - mmengine - INFO - Epoch(train) [34][260/327] lr: 5.000000e-04 eta: 5:37:27 time: 0.352613 data_time: 0.032984 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.907623 2023/08/09 21:14:58 - mmengine - INFO - Epoch(train) [34][270/327] lr: 5.000000e-04 eta: 5:37:23 time: 0.353423 data_time: 0.033705 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.814306 2023/08/09 21:15:02 - mmengine - INFO - Epoch(train) [34][280/327] lr: 5.000000e-04 eta: 5:37:20 time: 0.350869 data_time: 0.034016 memory: 4563 loss: 0.000898 loss_kpt: 0.000898 acc_pose: 0.821154 2023/08/09 21:15:05 - mmengine - INFO - Epoch(train) [34][290/327] lr: 5.000000e-04 eta: 5:37:16 time: 0.351964 data_time: 0.034188 memory: 4563 loss: 0.000920 loss_kpt: 0.000920 acc_pose: 0.845059 2023/08/09 21:15:09 - mmengine - INFO - Epoch(train) [34][300/327] lr: 5.000000e-04 eta: 5:37:13 time: 0.352858 data_time: 0.034199 memory: 4563 loss: 0.000912 loss_kpt: 0.000912 acc_pose: 0.846874 2023/08/09 21:15:12 - mmengine - INFO - Epoch(train) [34][310/327] lr: 5.000000e-04 eta: 5:37:10 time: 0.352468 data_time: 0.034598 memory: 4563 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.749220 2023/08/09 21:15:16 - mmengine - INFO - Epoch(train) [34][320/327] lr: 5.000000e-04 eta: 5:37:07 time: 0.357002 data_time: 0.034034 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.869048 2023/08/09 21:15:18 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:15:22 - mmengine - INFO - Epoch(train) [35][ 10/327] lr: 5.000000e-04 eta: 5:37:02 time: 0.360005 data_time: 0.036658 memory: 4563 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.902664 2023/08/09 21:15:26 - mmengine - INFO - Epoch(train) [35][ 20/327] lr: 5.000000e-04 eta: 5:36:58 time: 0.358294 data_time: 0.036585 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.885951 2023/08/09 21:15:29 - mmengine - INFO - Epoch(train) [35][ 30/327] lr: 5.000000e-04 eta: 5:36:55 time: 0.358547 data_time: 0.036379 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.832690 2023/08/09 21:15:33 - mmengine - INFO - Epoch(train) [35][ 40/327] lr: 5.000000e-04 eta: 5:36:52 time: 0.357952 data_time: 0.036360 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.792061 2023/08/09 21:15:36 - mmengine - INFO - Epoch(train) [35][ 50/327] lr: 5.000000e-04 eta: 5:36:49 time: 0.360029 data_time: 0.040669 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.819537 2023/08/09 21:15:40 - mmengine - INFO - Epoch(train) [35][ 60/327] lr: 5.000000e-04 eta: 5:36:46 time: 0.355929 data_time: 0.036650 memory: 4563 loss: 0.000881 loss_kpt: 0.000881 acc_pose: 0.794089 2023/08/09 21:15:43 - mmengine - INFO - Epoch(train) [35][ 70/327] lr: 5.000000e-04 eta: 5:36:42 time: 0.355202 data_time: 0.036909 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.925687 2023/08/09 21:15:47 - mmengine - INFO - Epoch(train) [35][ 80/327] lr: 5.000000e-04 eta: 5:36:38 time: 0.353084 data_time: 0.036690 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.807596 2023/08/09 21:15:50 - mmengine - INFO - Epoch(train) [35][ 90/327] lr: 5.000000e-04 eta: 5:36:34 time: 0.351260 data_time: 0.036825 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.820402 2023/08/09 21:15:54 - mmengine - INFO - Epoch(train) [35][100/327] lr: 5.000000e-04 eta: 5:36:30 time: 0.345760 data_time: 0.032721 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.808409 2023/08/09 21:15:57 - mmengine - INFO - Epoch(train) [35][110/327] lr: 5.000000e-04 eta: 5:36:27 time: 0.345850 data_time: 0.033111 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.894841 2023/08/09 21:16:01 - mmengine - INFO - Epoch(train) [35][120/327] lr: 5.000000e-04 eta: 5:36:23 time: 0.347464 data_time: 0.032540 memory: 4563 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.731782 2023/08/09 21:16:04 - mmengine - INFO - Epoch(train) [35][130/327] lr: 5.000000e-04 eta: 5:36:19 time: 0.347777 data_time: 0.032447 memory: 4563 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.858148 2023/08/09 21:16:08 - mmengine - INFO - Epoch(train) [35][140/327] lr: 5.000000e-04 eta: 5:36:15 time: 0.348209 data_time: 0.031957 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.827688 2023/08/09 21:16:11 - mmengine - INFO - Epoch(train) [35][150/327] lr: 5.000000e-04 eta: 5:36:12 time: 0.350550 data_time: 0.032439 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.829692 2023/08/09 21:16:15 - mmengine - INFO - Epoch(train) [35][160/327] lr: 5.000000e-04 eta: 5:36:08 time: 0.348930 data_time: 0.032070 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.856909 2023/08/09 21:16:18 - mmengine - INFO - Epoch(train) [35][170/327] lr: 5.000000e-04 eta: 5:36:05 time: 0.348161 data_time: 0.032467 memory: 4563 loss: 0.000846 loss_kpt: 0.000846 acc_pose: 0.839810 2023/08/09 21:16:22 - mmengine - INFO - Epoch(train) [35][180/327] lr: 5.000000e-04 eta: 5:36:02 time: 0.352154 data_time: 0.032007 memory: 4563 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.875475 2023/08/09 21:16:25 - mmengine - INFO - Epoch(train) [35][190/327] lr: 5.000000e-04 eta: 5:35:58 time: 0.353000 data_time: 0.032413 memory: 4563 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.750121 2023/08/09 21:16:29 - mmengine - INFO - Epoch(train) [35][200/327] lr: 5.000000e-04 eta: 5:35:56 time: 0.356314 data_time: 0.032168 memory: 4563 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.877476 2023/08/09 21:16:32 - mmengine - INFO - Epoch(train) [35][210/327] lr: 5.000000e-04 eta: 5:35:52 time: 0.354655 data_time: 0.031759 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.847414 2023/08/09 21:16:36 - mmengine - INFO - Epoch(train) [35][220/327] lr: 5.000000e-04 eta: 5:35:48 time: 0.354381 data_time: 0.031754 memory: 4563 loss: 0.000876 loss_kpt: 0.000876 acc_pose: 0.844684 2023/08/09 21:16:39 - mmengine - INFO - Epoch(train) [35][230/327] lr: 5.000000e-04 eta: 5:35:44 time: 0.350289 data_time: 0.031934 memory: 4563 loss: 0.000892 loss_kpt: 0.000892 acc_pose: 0.827604 2023/08/09 21:16:43 - mmengine - INFO - Epoch(train) [35][240/327] lr: 5.000000e-04 eta: 5:35:40 time: 0.349505 data_time: 0.031443 memory: 4563 loss: 0.000885 loss_kpt: 0.000885 acc_pose: 0.819104 2023/08/09 21:16:46 - mmengine - INFO - Epoch(train) [35][250/327] lr: 5.000000e-04 eta: 5:35:37 time: 0.345783 data_time: 0.031986 memory: 4563 loss: 0.000900 loss_kpt: 0.000900 acc_pose: 0.880172 2023/08/09 21:16:50 - mmengine - INFO - Epoch(train) [35][260/327] lr: 5.000000e-04 eta: 5:35:33 time: 0.347307 data_time: 0.031753 memory: 4563 loss: 0.000890 loss_kpt: 0.000890 acc_pose: 0.863095 2023/08/09 21:16:53 - mmengine - INFO - Epoch(train) [35][270/327] lr: 5.000000e-04 eta: 5:35:30 time: 0.348368 data_time: 0.031696 memory: 4563 loss: 0.000888 loss_kpt: 0.000888 acc_pose: 0.793056 2023/08/09 21:16:57 - mmengine - INFO - Epoch(train) [35][280/327] lr: 5.000000e-04 eta: 5:35:26 time: 0.348438 data_time: 0.031558 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.866399 2023/08/09 21:17:00 - mmengine - INFO - Epoch(train) [35][290/327] lr: 5.000000e-04 eta: 5:35:22 time: 0.348106 data_time: 0.031931 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.815524 2023/08/09 21:17:04 - mmengine - INFO - Epoch(train) [35][300/327] lr: 5.000000e-04 eta: 5:35:19 time: 0.348732 data_time: 0.031472 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.864368 2023/08/09 21:17:07 - mmengine - INFO - Epoch(train) [35][310/327] lr: 5.000000e-04 eta: 5:35:16 time: 0.355116 data_time: 0.032798 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.857588 2023/08/09 21:17:11 - mmengine - INFO - Epoch(train) [35][320/327] lr: 5.000000e-04 eta: 5:35:13 time: 0.354235 data_time: 0.032519 memory: 4563 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.856168 2023/08/09 21:17:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:17:17 - mmengine - INFO - Epoch(train) [36][ 10/327] lr: 5.000000e-04 eta: 5:35:08 time: 0.362233 data_time: 0.036952 memory: 4563 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.840640 2023/08/09 21:17:21 - mmengine - INFO - Epoch(train) [36][ 20/327] lr: 5.000000e-04 eta: 5:35:05 time: 0.366074 data_time: 0.040081 memory: 4563 loss: 0.000862 loss_kpt: 0.000862 acc_pose: 0.672864 2023/08/09 21:17:24 - mmengine - INFO - Epoch(train) [36][ 30/327] lr: 5.000000e-04 eta: 5:35:01 time: 0.357562 data_time: 0.039060 memory: 4563 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.846286 2023/08/09 21:17:28 - mmengine - INFO - Epoch(train) [36][ 40/327] lr: 5.000000e-04 eta: 5:34:57 time: 0.353406 data_time: 0.039078 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.858755 2023/08/09 21:17:31 - mmengine - INFO - Epoch(train) [36][ 50/327] lr: 5.000000e-04 eta: 5:34:53 time: 0.351291 data_time: 0.040240 memory: 4563 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.841843 2023/08/09 21:17:35 - mmengine - INFO - Epoch(train) [36][ 60/327] lr: 5.000000e-04 eta: 5:34:50 time: 0.347768 data_time: 0.035199 memory: 4563 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.804281 2023/08/09 21:17:38 - mmengine - INFO - Epoch(train) [36][ 70/327] lr: 5.000000e-04 eta: 5:34:46 time: 0.344114 data_time: 0.032420 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.857051 2023/08/09 21:17:42 - mmengine - INFO - Epoch(train) [36][ 80/327] lr: 5.000000e-04 eta: 5:34:42 time: 0.346472 data_time: 0.033222 memory: 4563 loss: 0.000856 loss_kpt: 0.000856 acc_pose: 0.834224 2023/08/09 21:17:45 - mmengine - INFO - Epoch(train) [36][ 90/327] lr: 5.000000e-04 eta: 5:34:38 time: 0.346097 data_time: 0.032943 memory: 4563 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.900463 2023/08/09 21:17:48 - mmengine - INFO - Epoch(train) [36][100/327] lr: 5.000000e-04 eta: 5:34:35 time: 0.347439 data_time: 0.035796 memory: 4563 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.846337 2023/08/09 21:17:52 - mmengine - INFO - Epoch(train) [36][110/327] lr: 5.000000e-04 eta: 5:34:30 time: 0.343945 data_time: 0.035374 memory: 4563 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.848940 2023/08/09 21:17:55 - mmengine - INFO - Epoch(train) [36][120/327] lr: 5.000000e-04 eta: 5:34:26 time: 0.342586 data_time: 0.035009 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.895567 2023/08/09 21:17:59 - mmengine - INFO - Epoch(train) [36][130/327] lr: 5.000000e-04 eta: 5:34:23 time: 0.344785 data_time: 0.035135 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.894325 2023/08/09 21:18:02 - mmengine - INFO - Epoch(train) [36][140/327] lr: 5.000000e-04 eta: 5:34:19 time: 0.346988 data_time: 0.035228 memory: 4563 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.868452 2023/08/09 21:18:06 - mmengine - INFO - Epoch(train) [36][150/327] lr: 5.000000e-04 eta: 5:34:16 time: 0.347143 data_time: 0.032138 memory: 4563 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.771368 2023/08/09 21:18:09 - mmengine - INFO - Epoch(train) [36][160/327] lr: 5.000000e-04 eta: 5:34:12 time: 0.347998 data_time: 0.032208 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.898148 2023/08/09 21:18:13 - mmengine - INFO - Epoch(train) [36][170/327] lr: 5.000000e-04 eta: 5:34:08 time: 0.349393 data_time: 0.032107 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.946098 2023/08/09 21:18:16 - mmengine - INFO - Epoch(train) [36][180/327] lr: 5.000000e-04 eta: 5:34:04 time: 0.347188 data_time: 0.031119 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.885705 2023/08/09 21:18:20 - mmengine - INFO - Epoch(train) [36][190/327] lr: 5.000000e-04 eta: 5:34:03 time: 0.354277 data_time: 0.034965 memory: 4563 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.865443 2023/08/09 21:18:24 - mmengine - INFO - Epoch(train) [36][200/327] lr: 5.000000e-04 eta: 5:34:02 time: 0.365989 data_time: 0.036084 memory: 4563 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.893997 2023/08/09 21:18:28 - mmengine - INFO - Epoch(train) [36][210/327] lr: 5.000000e-04 eta: 5:34:01 time: 0.379049 data_time: 0.037054 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.867188 2023/08/09 21:18:32 - mmengine - INFO - Epoch(train) [36][220/327] lr: 5.000000e-04 eta: 5:33:59 time: 0.388056 data_time: 0.037949 memory: 4563 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.740604 2023/08/09 21:18:36 - mmengine - INFO - Epoch(train) [36][230/327] lr: 5.000000e-04 eta: 5:33:57 time: 0.393463 data_time: 0.038487 memory: 4563 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.878659 2023/08/09 21:18:40 - mmengine - INFO - Epoch(train) [36][240/327] lr: 5.000000e-04 eta: 5:33:55 time: 0.391696 data_time: 0.035584 memory: 4563 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.927819 2023/08/09 21:18:43 - mmengine - INFO - Epoch(train) [36][250/327] lr: 5.000000e-04 eta: 5:33:52 time: 0.384264 data_time: 0.034929 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.882857 2023/08/09 21:18:47 - mmengine - INFO - Epoch(train) [36][260/327] lr: 5.000000e-04 eta: 5:33:50 time: 0.378540 data_time: 0.034667 memory: 4563 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.890873 2023/08/09 21:18:51 - mmengine - INFO - Epoch(train) [36][270/327] lr: 5.000000e-04 eta: 5:33:48 time: 0.375082 data_time: 0.034637 memory: 4563 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.737979 2023/08/09 21:18:55 - mmengine - INFO - Epoch(train) [36][280/327] lr: 5.000000e-04 eta: 5:33:45 time: 0.375470 data_time: 0.034721 memory: 4563 loss: 0.000879 loss_kpt: 0.000879 acc_pose: 0.749836 2023/08/09 21:18:58 - mmengine - INFO - Epoch(train) [36][290/327] lr: 5.000000e-04 eta: 5:33:43 time: 0.374180 data_time: 0.034142 memory: 4563 loss: 0.000869 loss_kpt: 0.000869 acc_pose: 0.818531 2023/08/09 21:19:02 - mmengine - INFO - Epoch(train) [36][300/327] lr: 5.000000e-04 eta: 5:33:39 time: 0.368240 data_time: 0.033567 memory: 4563 loss: 0.000872 loss_kpt: 0.000872 acc_pose: 0.790025 2023/08/09 21:19:05 - mmengine - INFO - Epoch(train) [36][310/327] lr: 5.000000e-04 eta: 5:33:35 time: 0.361961 data_time: 0.033173 memory: 4563 loss: 0.000865 loss_kpt: 0.000865 acc_pose: 0.776538 2023/08/09 21:19:09 - mmengine - INFO - Epoch(train) [36][320/327] lr: 5.000000e-04 eta: 5:33:31 time: 0.357405 data_time: 0.032522 memory: 4563 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.835817 2023/08/09 21:19:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:19:15 - mmengine - INFO - Epoch(train) [37][ 10/327] lr: 5.000000e-04 eta: 5:33:27 time: 0.354968 data_time: 0.035869 memory: 4563 loss: 0.000852 loss_kpt: 0.000852 acc_pose: 0.916965 2023/08/09 21:19:19 - mmengine - INFO - Epoch(train) [37][ 20/327] lr: 5.000000e-04 eta: 5:33:24 time: 0.356506 data_time: 0.036433 memory: 4563 loss: 0.000864 loss_kpt: 0.000864 acc_pose: 0.818014 2023/08/09 21:19:22 - mmengine - INFO - Epoch(train) [37][ 30/327] lr: 5.000000e-04 eta: 5:33:19 time: 0.354523 data_time: 0.036314 memory: 4563 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.857826 2023/08/09 21:19:25 - mmengine - INFO - Epoch(train) [37][ 40/327] lr: 5.000000e-04 eta: 5:33:15 time: 0.352891 data_time: 0.036302 memory: 4563 loss: 0.000880 loss_kpt: 0.000880 acc_pose: 0.902688 2023/08/09 21:19:29 - mmengine - INFO - Epoch(train) [37][ 50/327] lr: 5.000000e-04 eta: 5:33:12 time: 0.354314 data_time: 0.036254 memory: 4563 loss: 0.000860 loss_kpt: 0.000860 acc_pose: 0.822660 2023/08/09 21:19:32 - mmengine - INFO - Epoch(train) [37][ 60/327] lr: 5.000000e-04 eta: 5:33:08 time: 0.344908 data_time: 0.032212 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.783469 2023/08/09 21:19:36 - mmengine - INFO - Epoch(train) [37][ 70/327] lr: 5.000000e-04 eta: 5:33:05 time: 0.346119 data_time: 0.031727 memory: 4563 loss: 0.000859 loss_kpt: 0.000859 acc_pose: 0.820402 2023/08/09 21:19:39 - mmengine - INFO - Epoch(train) [37][ 80/327] lr: 5.000000e-04 eta: 5:33:01 time: 0.348778 data_time: 0.032405 memory: 4563 loss: 0.000867 loss_kpt: 0.000867 acc_pose: 0.875806 2023/08/09 21:19:43 - mmengine - INFO - Epoch(train) [37][ 90/327] lr: 5.000000e-04 eta: 5:32:58 time: 0.354683 data_time: 0.032700 memory: 4563 loss: 0.000863 loss_kpt: 0.000863 acc_pose: 0.847701 2023/08/09 21:19:46 - mmengine - INFO - Epoch(train) [37][100/327] lr: 5.000000e-04 eta: 5:32:54 time: 0.351081 data_time: 0.032638 memory: 4563 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.855142 2023/08/09 21:19:50 - mmengine - INFO - Epoch(train) [37][110/327] lr: 5.000000e-04 eta: 5:32:50 time: 0.349701 data_time: 0.032310 memory: 4563 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.831520 2023/08/09 21:19:53 - mmengine - INFO - Epoch(train) [37][120/327] lr: 5.000000e-04 eta: 5:32:47 time: 0.351156 data_time: 0.032720 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.857120 2023/08/09 21:19:57 - mmengine - INFO - Epoch(train) [37][130/327] lr: 5.000000e-04 eta: 5:32:45 time: 0.358976 data_time: 0.032909 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.790119 2023/08/09 21:20:01 - mmengine - INFO - Epoch(train) [37][140/327] lr: 5.000000e-04 eta: 5:32:44 time: 0.364106 data_time: 0.033410 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.809297 2023/08/09 21:20:05 - mmengine - INFO - Epoch(train) [37][150/327] lr: 5.000000e-04 eta: 5:32:40 time: 0.366011 data_time: 0.033843 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.833983 2023/08/09 21:20:08 - mmengine - INFO - Epoch(train) [37][160/327] lr: 5.000000e-04 eta: 5:32:36 time: 0.366325 data_time: 0.034231 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.830239 2023/08/09 21:20:11 - mmengine - INFO - Epoch(train) [37][170/327] lr: 5.000000e-04 eta: 5:32:32 time: 0.360746 data_time: 0.034648 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.869086 2023/08/09 21:20:15 - mmengine - INFO - Epoch(train) [37][180/327] lr: 5.000000e-04 eta: 5:32:27 time: 0.349831 data_time: 0.033693 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.861043 2023/08/09 21:20:18 - mmengine - INFO - Epoch(train) [37][190/327] lr: 5.000000e-04 eta: 5:32:23 time: 0.338961 data_time: 0.033002 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.761674 2023/08/09 21:20:22 - mmengine - INFO - Epoch(train) [37][200/327] lr: 5.000000e-04 eta: 5:32:20 time: 0.340804 data_time: 0.033339 memory: 4563 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.869684 2023/08/09 21:20:25 - mmengine - INFO - Epoch(train) [37][210/327] lr: 5.000000e-04 eta: 5:32:16 time: 0.341802 data_time: 0.032858 memory: 4563 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.817856 2023/08/09 21:20:29 - mmengine - INFO - Epoch(train) [37][220/327] lr: 5.000000e-04 eta: 5:32:14 time: 0.350226 data_time: 0.032366 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.897373 2023/08/09 21:20:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:20:33 - mmengine - INFO - Epoch(train) [37][230/327] lr: 5.000000e-04 eta: 5:32:12 time: 0.361654 data_time: 0.032722 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.856892 2023/08/09 21:20:37 - mmengine - INFO - Epoch(train) [37][240/327] lr: 5.000000e-04 eta: 5:32:10 time: 0.369540 data_time: 0.032679 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.801026 2023/08/09 21:20:40 - mmengine - INFO - Epoch(train) [37][250/327] lr: 5.000000e-04 eta: 5:32:06 time: 0.367820 data_time: 0.032275 memory: 4563 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.809479 2023/08/09 21:20:44 - mmengine - INFO - Epoch(train) [37][260/327] lr: 5.000000e-04 eta: 5:32:02 time: 0.366185 data_time: 0.032051 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.888506 2023/08/09 21:20:47 - mmengine - INFO - Epoch(train) [37][270/327] lr: 5.000000e-04 eta: 5:31:58 time: 0.359233 data_time: 0.031747 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.839307 2023/08/09 21:20:50 - mmengine - INFO - Epoch(train) [37][280/327] lr: 5.000000e-04 eta: 5:31:54 time: 0.351384 data_time: 0.031710 memory: 4563 loss: 0.000845 loss_kpt: 0.000845 acc_pose: 0.823984 2023/08/09 21:20:54 - mmengine - INFO - Epoch(train) [37][290/327] lr: 5.000000e-04 eta: 5:31:50 time: 0.344526 data_time: 0.031540 memory: 4563 loss: 0.000878 loss_kpt: 0.000878 acc_pose: 0.868891 2023/08/09 21:20:57 - mmengine - INFO - Epoch(train) [37][300/327] lr: 5.000000e-04 eta: 5:31:47 time: 0.346830 data_time: 0.031452 memory: 4563 loss: 0.000861 loss_kpt: 0.000861 acc_pose: 0.864876 2023/08/09 21:21:01 - mmengine - INFO - Epoch(train) [37][310/327] lr: 5.000000e-04 eta: 5:31:45 time: 0.355229 data_time: 0.031792 memory: 4563 loss: 0.000870 loss_kpt: 0.000870 acc_pose: 0.898795 2023/08/09 21:21:05 - mmengine - INFO - Epoch(train) [37][320/327] lr: 5.000000e-04 eta: 5:31:42 time: 0.360105 data_time: 0.031703 memory: 4563 loss: 0.000871 loss_kpt: 0.000871 acc_pose: 0.883381 2023/08/09 21:21:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:21:11 - mmengine - INFO - Epoch(train) [38][ 10/327] lr: 5.000000e-04 eta: 5:31:37 time: 0.362580 data_time: 0.034694 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.823892 2023/08/09 21:21:14 - mmengine - INFO - Epoch(train) [38][ 20/327] lr: 5.000000e-04 eta: 5:31:33 time: 0.362107 data_time: 0.034732 memory: 4563 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.890655 2023/08/09 21:21:18 - mmengine - INFO - Epoch(train) [38][ 30/327] lr: 5.000000e-04 eta: 5:31:30 time: 0.361209 data_time: 0.035140 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.818883 2023/08/09 21:21:22 - mmengine - INFO - Epoch(train) [38][ 40/327] lr: 5.000000e-04 eta: 5:31:26 time: 0.354821 data_time: 0.035433 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.862077 2023/08/09 21:21:25 - mmengine - INFO - Epoch(train) [38][ 50/327] lr: 5.000000e-04 eta: 5:31:23 time: 0.356647 data_time: 0.036509 memory: 4563 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.801367 2023/08/09 21:21:29 - mmengine - INFO - Epoch(train) [38][ 60/327] lr: 5.000000e-04 eta: 5:31:19 time: 0.351775 data_time: 0.033158 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.898685 2023/08/09 21:21:32 - mmengine - INFO - Epoch(train) [38][ 70/327] lr: 5.000000e-04 eta: 5:31:16 time: 0.354281 data_time: 0.033859 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.826114 2023/08/09 21:21:36 - mmengine - INFO - Epoch(train) [38][ 80/327] lr: 5.000000e-04 eta: 5:31:13 time: 0.352302 data_time: 0.033852 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.797345 2023/08/09 21:21:39 - mmengine - INFO - Epoch(train) [38][ 90/327] lr: 5.000000e-04 eta: 5:31:09 time: 0.352484 data_time: 0.033834 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.784339 2023/08/09 21:21:43 - mmengine - INFO - Epoch(train) [38][100/327] lr: 5.000000e-04 eta: 5:31:05 time: 0.353012 data_time: 0.033353 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.921360 2023/08/09 21:21:46 - mmengine - INFO - Epoch(train) [38][110/327] lr: 5.000000e-04 eta: 5:31:02 time: 0.352748 data_time: 0.033156 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.892686 2023/08/09 21:21:50 - mmengine - INFO - Epoch(train) [38][120/327] lr: 5.000000e-04 eta: 5:30:58 time: 0.350387 data_time: 0.032463 memory: 4563 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.896073 2023/08/09 21:21:53 - mmengine - INFO - Epoch(train) [38][130/327] lr: 5.000000e-04 eta: 5:30:54 time: 0.347369 data_time: 0.032171 memory: 4563 loss: 0.000842 loss_kpt: 0.000842 acc_pose: 0.903633 2023/08/09 21:21:57 - mmengine - INFO - Epoch(train) [38][140/327] lr: 5.000000e-04 eta: 5:30:51 time: 0.348446 data_time: 0.031572 memory: 4563 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.849138 2023/08/09 21:22:00 - mmengine - INFO - Epoch(train) [38][150/327] lr: 5.000000e-04 eta: 5:30:46 time: 0.346380 data_time: 0.031272 memory: 4563 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.851190 2023/08/09 21:22:04 - mmengine - INFO - Epoch(train) [38][160/327] lr: 5.000000e-04 eta: 5:30:42 time: 0.345010 data_time: 0.030841 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.885092 2023/08/09 21:22:07 - mmengine - INFO - Epoch(train) [38][170/327] lr: 5.000000e-04 eta: 5:30:39 time: 0.345233 data_time: 0.031167 memory: 4563 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.869086 2023/08/09 21:22:10 - mmengine - INFO - Epoch(train) [38][180/327] lr: 5.000000e-04 eta: 5:30:35 time: 0.345995 data_time: 0.031201 memory: 4563 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.913294 2023/08/09 21:22:14 - mmengine - INFO - Epoch(train) [38][190/327] lr: 5.000000e-04 eta: 5:30:32 time: 0.345859 data_time: 0.031403 memory: 4563 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.807184 2023/08/09 21:22:18 - mmengine - INFO - Epoch(train) [38][200/327] lr: 5.000000e-04 eta: 5:30:28 time: 0.348131 data_time: 0.032212 memory: 4563 loss: 0.000851 loss_kpt: 0.000851 acc_pose: 0.830837 2023/08/09 21:22:21 - mmengine - INFO - Epoch(train) [38][210/327] lr: 5.000000e-04 eta: 5:30:24 time: 0.348009 data_time: 0.032072 memory: 4563 loss: 0.000847 loss_kpt: 0.000847 acc_pose: 0.806415 2023/08/09 21:22:24 - mmengine - INFO - Epoch(train) [38][220/327] lr: 5.000000e-04 eta: 5:30:20 time: 0.347610 data_time: 0.031778 memory: 4563 loss: 0.000844 loss_kpt: 0.000844 acc_pose: 0.822813 2023/08/09 21:22:28 - mmengine - INFO - Epoch(train) [38][230/327] lr: 5.000000e-04 eta: 5:30:16 time: 0.345357 data_time: 0.031490 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.839174 2023/08/09 21:22:31 - mmengine - INFO - Epoch(train) [38][240/327] lr: 5.000000e-04 eta: 5:30:12 time: 0.344474 data_time: 0.031806 memory: 4563 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.849234 2023/08/09 21:22:35 - mmengine - INFO - Epoch(train) [38][250/327] lr: 5.000000e-04 eta: 5:30:09 time: 0.344070 data_time: 0.031258 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.837389 2023/08/09 21:22:38 - mmengine - INFO - Epoch(train) [38][260/327] lr: 5.000000e-04 eta: 5:30:05 time: 0.344427 data_time: 0.032105 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.857703 2023/08/09 21:22:42 - mmengine - INFO - Epoch(train) [38][270/327] lr: 5.000000e-04 eta: 5:30:01 time: 0.347212 data_time: 0.032613 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.886457 2023/08/09 21:22:45 - mmengine - INFO - Epoch(train) [38][280/327] lr: 5.000000e-04 eta: 5:29:57 time: 0.347355 data_time: 0.033095 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.932471 2023/08/09 21:22:49 - mmengine - INFO - Epoch(train) [38][290/327] lr: 5.000000e-04 eta: 5:29:54 time: 0.346415 data_time: 0.033282 memory: 4563 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.863727 2023/08/09 21:22:52 - mmengine - INFO - Epoch(train) [38][300/327] lr: 5.000000e-04 eta: 5:29:51 time: 0.349896 data_time: 0.036943 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.835251 2023/08/09 21:22:56 - mmengine - INFO - Epoch(train) [38][310/327] lr: 5.000000e-04 eta: 5:29:47 time: 0.350487 data_time: 0.036406 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.916325 2023/08/09 21:22:59 - mmengine - INFO - Epoch(train) [38][320/327] lr: 5.000000e-04 eta: 5:29:43 time: 0.349583 data_time: 0.035832 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.853297 2023/08/09 21:23:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:23:05 - mmengine - INFO - Epoch(train) [39][ 10/327] lr: 5.000000e-04 eta: 5:29:37 time: 0.349857 data_time: 0.037855 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.806818 2023/08/09 21:23:08 - mmengine - INFO - Epoch(train) [39][ 20/327] lr: 5.000000e-04 eta: 5:29:33 time: 0.345311 data_time: 0.033804 memory: 4563 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.784563 2023/08/09 21:23:12 - mmengine - INFO - Epoch(train) [39][ 30/327] lr: 5.000000e-04 eta: 5:29:29 time: 0.345550 data_time: 0.033640 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.817050 2023/08/09 21:23:15 - mmengine - INFO - Epoch(train) [39][ 40/327] lr: 5.000000e-04 eta: 5:29:26 time: 0.346728 data_time: 0.033819 memory: 4563 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.877029 2023/08/09 21:23:19 - mmengine - INFO - Epoch(train) [39][ 50/327] lr: 5.000000e-04 eta: 5:29:23 time: 0.354854 data_time: 0.034840 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.884140 2023/08/09 21:23:23 - mmengine - INFO - Epoch(train) [39][ 60/327] lr: 5.000000e-04 eta: 5:29:20 time: 0.355565 data_time: 0.031824 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.870701 2023/08/09 21:23:26 - mmengine - INFO - Epoch(train) [39][ 70/327] lr: 5.000000e-04 eta: 5:29:17 time: 0.357656 data_time: 0.032790 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.831737 2023/08/09 21:23:30 - mmengine - INFO - Epoch(train) [39][ 80/327] lr: 5.000000e-04 eta: 5:29:13 time: 0.359053 data_time: 0.032830 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.880330 2023/08/09 21:23:33 - mmengine - INFO - Epoch(train) [39][ 90/327] lr: 5.000000e-04 eta: 5:29:09 time: 0.356733 data_time: 0.032876 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.887210 2023/08/09 21:23:37 - mmengine - INFO - Epoch(train) [39][100/327] lr: 5.000000e-04 eta: 5:29:05 time: 0.348812 data_time: 0.032252 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.923563 2023/08/09 21:23:40 - mmengine - INFO - Epoch(train) [39][110/327] lr: 5.000000e-04 eta: 5:29:01 time: 0.346108 data_time: 0.031679 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.904557 2023/08/09 21:23:44 - mmengine - INFO - Epoch(train) [39][120/327] lr: 5.000000e-04 eta: 5:28:57 time: 0.345143 data_time: 0.031202 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.838533 2023/08/09 21:23:47 - mmengine - INFO - Epoch(train) [39][130/327] lr: 5.000000e-04 eta: 5:28:54 time: 0.344558 data_time: 0.031227 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.779516 2023/08/09 21:23:51 - mmengine - INFO - Epoch(train) [39][140/327] lr: 5.000000e-04 eta: 5:28:51 time: 0.348192 data_time: 0.034267 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.870074 2023/08/09 21:23:54 - mmengine - INFO - Epoch(train) [39][150/327] lr: 5.000000e-04 eta: 5:28:47 time: 0.348829 data_time: 0.034479 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.829598 2023/08/09 21:23:58 - mmengine - INFO - Epoch(train) [39][160/327] lr: 5.000000e-04 eta: 5:28:43 time: 0.347471 data_time: 0.034452 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.843949 2023/08/09 21:24:01 - mmengine - INFO - Epoch(train) [39][170/327] lr: 5.000000e-04 eta: 5:28:39 time: 0.346270 data_time: 0.034053 memory: 4563 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.796210 2023/08/09 21:24:04 - mmengine - INFO - Epoch(train) [39][180/327] lr: 5.000000e-04 eta: 5:28:35 time: 0.345789 data_time: 0.034019 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.895936 2023/08/09 21:24:08 - mmengine - INFO - Epoch(train) [39][190/327] lr: 5.000000e-04 eta: 5:28:31 time: 0.343733 data_time: 0.030974 memory: 4563 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.913178 2023/08/09 21:24:11 - mmengine - INFO - Epoch(train) [39][200/327] lr: 5.000000e-04 eta: 5:28:28 time: 0.345477 data_time: 0.031256 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.823884 2023/08/09 21:24:15 - mmengine - INFO - Epoch(train) [39][210/327] lr: 5.000000e-04 eta: 5:28:24 time: 0.346595 data_time: 0.031562 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.851767 2023/08/09 21:24:18 - mmengine - INFO - Epoch(train) [39][220/327] lr: 5.000000e-04 eta: 5:28:20 time: 0.347220 data_time: 0.031822 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.873810 2023/08/09 21:24:22 - mmengine - INFO - Epoch(train) [39][230/327] lr: 5.000000e-04 eta: 5:28:18 time: 0.353357 data_time: 0.032209 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.795513 2023/08/09 21:24:26 - mmengine - INFO - Epoch(train) [39][240/327] lr: 5.000000e-04 eta: 5:28:14 time: 0.354624 data_time: 0.032150 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.808888 2023/08/09 21:24:29 - mmengine - INFO - Epoch(train) [39][250/327] lr: 5.000000e-04 eta: 5:28:12 time: 0.360565 data_time: 0.032829 memory: 4563 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.930665 2023/08/09 21:24:33 - mmengine - INFO - Epoch(train) [39][260/327] lr: 5.000000e-04 eta: 5:28:09 time: 0.362225 data_time: 0.033051 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.917473 2023/08/09 21:24:36 - mmengine - INFO - Epoch(train) [39][270/327] lr: 5.000000e-04 eta: 5:28:05 time: 0.364118 data_time: 0.033101 memory: 4563 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.877091 2023/08/09 21:24:40 - mmengine - INFO - Epoch(train) [39][280/327] lr: 5.000000e-04 eta: 5:28:01 time: 0.357215 data_time: 0.033407 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.760099 2023/08/09 21:24:43 - mmengine - INFO - Epoch(train) [39][290/327] lr: 5.000000e-04 eta: 5:27:58 time: 0.354997 data_time: 0.034103 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.860343 2023/08/09 21:24:47 - mmengine - INFO - Epoch(train) [39][300/327] lr: 5.000000e-04 eta: 5:27:54 time: 0.350767 data_time: 0.037089 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.777242 2023/08/09 21:24:50 - mmengine - INFO - Epoch(train) [39][310/327] lr: 5.000000e-04 eta: 5:27:51 time: 0.349642 data_time: 0.037479 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.871958 2023/08/09 21:24:54 - mmengine - INFO - Epoch(train) [39][320/327] lr: 5.000000e-04 eta: 5:27:47 time: 0.348227 data_time: 0.038077 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.799827 2023/08/09 21:24:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:25:00 - mmengine - INFO - Epoch(train) [40][ 10/327] lr: 5.000000e-04 eta: 5:27:41 time: 0.351248 data_time: 0.039057 memory: 4563 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.870074 2023/08/09 21:25:03 - mmengine - INFO - Epoch(train) [40][ 20/327] lr: 5.000000e-04 eta: 5:27:37 time: 0.347782 data_time: 0.035407 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.845217 2023/08/09 21:25:07 - mmengine - INFO - Epoch(train) [40][ 30/327] lr: 5.000000e-04 eta: 5:27:33 time: 0.346473 data_time: 0.035008 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.926018 2023/08/09 21:25:10 - mmengine - INFO - Epoch(train) [40][ 40/327] lr: 5.000000e-04 eta: 5:27:30 time: 0.348653 data_time: 0.035474 memory: 4563 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.830332 2023/08/09 21:25:14 - mmengine - INFO - Epoch(train) [40][ 50/327] lr: 5.000000e-04 eta: 5:27:26 time: 0.349187 data_time: 0.036691 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.806318 2023/08/09 21:25:17 - mmengine - INFO - Epoch(train) [40][ 60/327] lr: 5.000000e-04 eta: 5:27:22 time: 0.344116 data_time: 0.034107 memory: 4563 loss: 0.000821 loss_kpt: 0.000821 acc_pose: 0.888095 2023/08/09 21:25:21 - mmengine - INFO - Epoch(train) [40][ 70/327] lr: 5.000000e-04 eta: 5:27:18 time: 0.345936 data_time: 0.033896 memory: 4563 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.904823 2023/08/09 21:25:24 - mmengine - INFO - Epoch(train) [40][ 80/327] lr: 5.000000e-04 eta: 5:27:14 time: 0.346485 data_time: 0.033974 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.849158 2023/08/09 21:25:27 - mmengine - INFO - Epoch(train) [40][ 90/327] lr: 5.000000e-04 eta: 5:27:10 time: 0.342063 data_time: 0.032736 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.825543 2023/08/09 21:25:31 - mmengine - INFO - Epoch(train) [40][100/327] lr: 5.000000e-04 eta: 5:27:06 time: 0.341024 data_time: 0.032150 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.924101 2023/08/09 21:25:34 - mmengine - INFO - Epoch(train) [40][110/327] lr: 5.000000e-04 eta: 5:27:02 time: 0.340508 data_time: 0.031289 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.860463 2023/08/09 21:25:38 - mmengine - INFO - Epoch(train) [40][120/327] lr: 5.000000e-04 eta: 5:26:58 time: 0.340675 data_time: 0.031130 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.909722 2023/08/09 21:25:41 - mmengine - INFO - Epoch(train) [40][130/327] lr: 5.000000e-04 eta: 5:26:54 time: 0.340226 data_time: 0.030267 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.857375 2023/08/09 21:25:44 - mmengine - INFO - Epoch(train) [40][140/327] lr: 5.000000e-04 eta: 5:26:50 time: 0.341365 data_time: 0.030329 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.806701 2023/08/09 21:25:48 - mmengine - INFO - Epoch(train) [40][150/327] lr: 5.000000e-04 eta: 5:26:47 time: 0.343674 data_time: 0.030586 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.808265 2023/08/09 21:25:51 - mmengine - INFO - Epoch(train) [40][160/327] lr: 5.000000e-04 eta: 5:26:43 time: 0.345248 data_time: 0.031220 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.812391 2023/08/09 21:25:55 - mmengine - INFO - Epoch(train) [40][170/327] lr: 5.000000e-04 eta: 5:26:39 time: 0.342063 data_time: 0.031784 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.870701 2023/08/09 21:25:58 - mmengine - INFO - Epoch(train) [40][180/327] lr: 5.000000e-04 eta: 5:26:35 time: 0.345382 data_time: 0.031889 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.826510 2023/08/09 21:26:02 - mmengine - INFO - Epoch(train) [40][190/327] lr: 5.000000e-04 eta: 5:26:33 time: 0.354795 data_time: 0.031817 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.821429 2023/08/09 21:26:06 - mmengine - INFO - Epoch(train) [40][200/327] lr: 5.000000e-04 eta: 5:26:30 time: 0.354592 data_time: 0.032005 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.839655 2023/08/09 21:26:09 - mmengine - INFO - Epoch(train) [40][210/327] lr: 5.000000e-04 eta: 5:26:25 time: 0.351638 data_time: 0.031383 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.832972 2023/08/09 21:26:12 - mmengine - INFO - Epoch(train) [40][220/327] lr: 5.000000e-04 eta: 5:26:22 time: 0.353244 data_time: 0.030998 memory: 4563 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.888456 2023/08/09 21:26:16 - mmengine - INFO - Epoch(train) [40][230/327] lr: 5.000000e-04 eta: 5:26:17 time: 0.348634 data_time: 0.031286 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.841291 2023/08/09 21:26:19 - mmengine - INFO - Epoch(train) [40][240/327] lr: 5.000000e-04 eta: 5:26:13 time: 0.336852 data_time: 0.031212 memory: 4563 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.851251 2023/08/09 21:26:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:26:22 - mmengine - INFO - Epoch(train) [40][250/327] lr: 5.000000e-04 eta: 5:26:08 time: 0.334161 data_time: 0.030680 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.821130 2023/08/09 21:26:26 - mmengine - INFO - Epoch(train) [40][260/327] lr: 5.000000e-04 eta: 5:26:04 time: 0.333730 data_time: 0.030518 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.871429 2023/08/09 21:26:29 - mmengine - INFO - Epoch(train) [40][270/327] lr: 5.000000e-04 eta: 5:26:01 time: 0.336242 data_time: 0.033533 memory: 4563 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.881631 2023/08/09 21:26:33 - mmengine - INFO - Epoch(train) [40][280/327] lr: 5.000000e-04 eta: 5:25:57 time: 0.337330 data_time: 0.033442 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.820690 2023/08/09 21:26:36 - mmengine - INFO - Epoch(train) [40][290/327] lr: 5.000000e-04 eta: 5:25:53 time: 0.341276 data_time: 0.033657 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.843822 2023/08/09 21:26:39 - mmengine - INFO - Epoch(train) [40][300/327] lr: 5.000000e-04 eta: 5:25:49 time: 0.341657 data_time: 0.033817 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.946096 2023/08/09 21:26:43 - mmengine - INFO - Epoch(train) [40][310/327] lr: 5.000000e-04 eta: 5:25:44 time: 0.341673 data_time: 0.033808 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.923257 2023/08/09 21:26:46 - mmengine - INFO - Epoch(train) [40][320/327] lr: 5.000000e-04 eta: 5:25:40 time: 0.336959 data_time: 0.030437 memory: 4563 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.809524 2023/08/09 21:26:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:26:48 - mmengine - INFO - Saving checkpoint at 40 epochs 2023/08/09 21:26:54 - mmengine - INFO - Epoch(val) [40][10/79] eta: 0:00:14 time: 0.196103 data_time: 0.013386 memory: 4563 2023/08/09 21:26:56 - mmengine - INFO - Epoch(val) [40][20/79] eta: 0:00:11 time: 0.196353 data_time: 0.013405 memory: 1634 2023/08/09 21:26:58 - mmengine - INFO - Epoch(val) [40][30/79] eta: 0:00:09 time: 0.196058 data_time: 0.013388 memory: 1634 2023/08/09 21:27:00 - mmengine - INFO - Epoch(val) [40][40/79] eta: 0:00:07 time: 0.195884 data_time: 0.013349 memory: 1634 2023/08/09 21:27:02 - mmengine - INFO - Epoch(val) [40][50/79] eta: 0:00:05 time: 0.197988 data_time: 0.013705 memory: 1634 2023/08/09 21:27:04 - mmengine - INFO - Epoch(val) [40][60/79] eta: 0:00:03 time: 0.195473 data_time: 0.011593 memory: 1634 2023/08/09 21:27:06 - mmengine - INFO - Epoch(val) [40][70/79] eta: 0:00:01 time: 0.195042 data_time: 0.011471 memory: 1634 2023/08/09 21:27:07 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 21:27:07 - mmengine - INFO - Evaluating AUC... 2023/08/09 21:27:08 - mmengine - INFO - Evaluating EPE... 2023/08/09 21:27:08 - mmengine - INFO - Epoch(val) [40][79/79] PCK: 0.971900 AUC: 0.747919 EPE: 9.736231 data_time: 0.012620 time: 0.194204 2023/08/09 21:27:08 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_30.pth is removed 2023/08/09 21:27:10 - mmengine - INFO - The best checkpoint with 0.7479 AUC at 40 epoch is saved to best_AUC_epoch_40.pth. 2023/08/09 21:27:17 - mmengine - INFO - Epoch(train) [41][ 10/327] lr: 5.000000e-04 eta: 5:25:33 time: 0.336084 data_time: 0.033832 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.855385 2023/08/09 21:27:20 - mmengine - INFO - Epoch(train) [41][ 20/327] lr: 5.000000e-04 eta: 5:25:29 time: 0.337276 data_time: 0.033603 memory: 4563 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.850273 2023/08/09 21:27:24 - mmengine - INFO - Epoch(train) [41][ 30/327] lr: 5.000000e-04 eta: 5:25:25 time: 0.337230 data_time: 0.033458 memory: 4563 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.867509 2023/08/09 21:27:27 - mmengine - INFO - Epoch(train) [41][ 40/327] lr: 5.000000e-04 eta: 5:25:21 time: 0.338118 data_time: 0.033635 memory: 4563 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.818448 2023/08/09 21:27:31 - mmengine - INFO - Epoch(train) [41][ 50/327] lr: 5.000000e-04 eta: 5:25:17 time: 0.342377 data_time: 0.034496 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.870309 2023/08/09 21:27:34 - mmengine - INFO - Epoch(train) [41][ 60/327] lr: 5.000000e-04 eta: 5:25:13 time: 0.337352 data_time: 0.030233 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.829762 2023/08/09 21:27:37 - mmengine - INFO - Epoch(train) [41][ 70/327] lr: 5.000000e-04 eta: 5:25:09 time: 0.335578 data_time: 0.030349 memory: 4563 loss: 0.000816 loss_kpt: 0.000816 acc_pose: 0.851473 2023/08/09 21:27:41 - mmengine - INFO - Epoch(train) [41][ 80/327] lr: 5.000000e-04 eta: 5:25:05 time: 0.338533 data_time: 0.033784 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.863218 2023/08/09 21:27:44 - mmengine - INFO - Epoch(train) [41][ 90/327] lr: 5.000000e-04 eta: 5:25:01 time: 0.339024 data_time: 0.034496 memory: 4563 loss: 0.000836 loss_kpt: 0.000836 acc_pose: 0.836790 2023/08/09 21:27:47 - mmengine - INFO - Epoch(train) [41][100/327] lr: 5.000000e-04 eta: 5:24:57 time: 0.337656 data_time: 0.034871 memory: 4563 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.899252 2023/08/09 21:27:51 - mmengine - INFO - Epoch(train) [41][110/327] lr: 5.000000e-04 eta: 5:24:54 time: 0.343499 data_time: 0.035913 memory: 4563 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.842399 2023/08/09 21:27:54 - mmengine - INFO - Epoch(train) [41][120/327] lr: 5.000000e-04 eta: 5:24:49 time: 0.343202 data_time: 0.036029 memory: 4563 loss: 0.000828 loss_kpt: 0.000828 acc_pose: 0.835181 2023/08/09 21:27:58 - mmengine - INFO - Epoch(train) [41][130/327] lr: 5.000000e-04 eta: 5:24:45 time: 0.339172 data_time: 0.032752 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.824261 2023/08/09 21:28:01 - mmengine - INFO - Epoch(train) [41][140/327] lr: 5.000000e-04 eta: 5:24:40 time: 0.337837 data_time: 0.031942 memory: 4563 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.913333 2023/08/09 21:28:04 - mmengine - INFO - Epoch(train) [41][150/327] lr: 5.000000e-04 eta: 5:24:36 time: 0.337130 data_time: 0.032266 memory: 4563 loss: 0.000823 loss_kpt: 0.000823 acc_pose: 0.854828 2023/08/09 21:28:08 - mmengine - INFO - Epoch(train) [41][160/327] lr: 5.000000e-04 eta: 5:24:32 time: 0.332895 data_time: 0.031577 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.814006 2023/08/09 21:28:11 - mmengine - INFO - Epoch(train) [41][170/327] lr: 5.000000e-04 eta: 5:24:28 time: 0.334626 data_time: 0.031484 memory: 4563 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.813867 2023/08/09 21:28:15 - mmengine - INFO - Epoch(train) [41][180/327] lr: 5.000000e-04 eta: 5:24:27 time: 0.347967 data_time: 0.031890 memory: 4563 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.773148 2023/08/09 21:28:19 - mmengine - INFO - Epoch(train) [41][190/327] lr: 5.000000e-04 eta: 5:24:24 time: 0.358506 data_time: 0.032668 memory: 4563 loss: 0.000841 loss_kpt: 0.000841 acc_pose: 0.839589 2023/08/09 21:28:23 - mmengine - INFO - Epoch(train) [41][200/327] lr: 5.000000e-04 eta: 5:24:22 time: 0.368774 data_time: 0.032583 memory: 4563 loss: 0.000853 loss_kpt: 0.000853 acc_pose: 0.864461 2023/08/09 21:28:26 - mmengine - INFO - Epoch(train) [41][210/327] lr: 5.000000e-04 eta: 5:24:18 time: 0.367982 data_time: 0.032183 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.883144 2023/08/09 21:28:29 - mmengine - INFO - Epoch(train) [41][220/327] lr: 5.000000e-04 eta: 5:24:14 time: 0.367039 data_time: 0.031768 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.898776 2023/08/09 21:28:33 - mmengine - INFO - Epoch(train) [41][230/327] lr: 5.000000e-04 eta: 5:24:10 time: 0.356040 data_time: 0.031652 memory: 4563 loss: 0.000837 loss_kpt: 0.000837 acc_pose: 0.841593 2023/08/09 21:28:36 - mmengine - INFO - Epoch(train) [41][240/327] lr: 5.000000e-04 eta: 5:24:06 time: 0.347317 data_time: 0.031182 memory: 4563 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.833858 2023/08/09 21:28:40 - mmengine - INFO - Epoch(train) [41][250/327] lr: 5.000000e-04 eta: 5:24:02 time: 0.339138 data_time: 0.030730 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.903048 2023/08/09 21:28:43 - mmengine - INFO - Epoch(train) [41][260/327] lr: 5.000000e-04 eta: 5:23:59 time: 0.342764 data_time: 0.031104 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.889815 2023/08/09 21:28:47 - mmengine - INFO - Epoch(train) [41][270/327] lr: 5.000000e-04 eta: 5:23:54 time: 0.342341 data_time: 0.031089 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.825739 2023/08/09 21:28:50 - mmengine - INFO - Epoch(train) [41][280/327] lr: 5.000000e-04 eta: 5:23:52 time: 0.349160 data_time: 0.031451 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.920544 2023/08/09 21:28:54 - mmengine - INFO - Epoch(train) [41][290/327] lr: 5.000000e-04 eta: 5:23:48 time: 0.351721 data_time: 0.032964 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.858100 2023/08/09 21:28:57 - mmengine - INFO - Epoch(train) [41][300/327] lr: 5.000000e-04 eta: 5:23:45 time: 0.353046 data_time: 0.033534 memory: 4563 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.889060 2023/08/09 21:29:01 - mmengine - INFO - Epoch(train) [41][310/327] lr: 5.000000e-04 eta: 5:23:42 time: 0.356424 data_time: 0.034250 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.857623 2023/08/09 21:29:05 - mmengine - INFO - Epoch(train) [41][320/327] lr: 5.000000e-04 eta: 5:23:39 time: 0.363507 data_time: 0.035229 memory: 4563 loss: 0.000843 loss_kpt: 0.000843 acc_pose: 0.844081 2023/08/09 21:29:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:29:11 - mmengine - INFO - Epoch(train) [42][ 10/327] lr: 5.000000e-04 eta: 5:23:35 time: 0.366375 data_time: 0.036932 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.857405 2023/08/09 21:29:15 - mmengine - INFO - Epoch(train) [42][ 20/327] lr: 5.000000e-04 eta: 5:23:32 time: 0.369439 data_time: 0.036537 memory: 4563 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.890517 2023/08/09 21:29:18 - mmengine - INFO - Epoch(train) [42][ 30/327] lr: 5.000000e-04 eta: 5:23:28 time: 0.367985 data_time: 0.036306 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.873489 2023/08/09 21:29:22 - mmengine - INFO - Epoch(train) [42][ 40/327] lr: 5.000000e-04 eta: 5:23:25 time: 0.358868 data_time: 0.036650 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.900538 2023/08/09 21:29:25 - mmengine - INFO - Epoch(train) [42][ 50/327] lr: 5.000000e-04 eta: 5:23:21 time: 0.361538 data_time: 0.038200 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.860664 2023/08/09 21:29:29 - mmengine - INFO - Epoch(train) [42][ 60/327] lr: 5.000000e-04 eta: 5:23:17 time: 0.350118 data_time: 0.033806 memory: 4563 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.913793 2023/08/09 21:29:32 - mmengine - INFO - Epoch(train) [42][ 70/327] lr: 5.000000e-04 eta: 5:23:13 time: 0.346249 data_time: 0.033521 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.900934 2023/08/09 21:29:35 - mmengine - INFO - Epoch(train) [42][ 80/327] lr: 5.000000e-04 eta: 5:23:09 time: 0.343433 data_time: 0.033150 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.823470 2023/08/09 21:29:39 - mmengine - INFO - Epoch(train) [42][ 90/327] lr: 5.000000e-04 eta: 5:23:05 time: 0.342819 data_time: 0.031955 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.833974 2023/08/09 21:29:42 - mmengine - INFO - Epoch(train) [42][100/327] lr: 5.000000e-04 eta: 5:23:02 time: 0.343474 data_time: 0.031158 memory: 4563 loss: 0.000832 loss_kpt: 0.000832 acc_pose: 0.876494 2023/08/09 21:29:46 - mmengine - INFO - Epoch(train) [42][110/327] lr: 5.000000e-04 eta: 5:22:58 time: 0.344121 data_time: 0.031049 memory: 4563 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.922660 2023/08/09 21:29:49 - mmengine - INFO - Epoch(train) [42][120/327] lr: 5.000000e-04 eta: 5:22:55 time: 0.347211 data_time: 0.031876 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.864550 2023/08/09 21:29:53 - mmengine - INFO - Epoch(train) [42][130/327] lr: 5.000000e-04 eta: 5:22:51 time: 0.346761 data_time: 0.031634 memory: 4563 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.862934 2023/08/09 21:29:56 - mmengine - INFO - Epoch(train) [42][140/327] lr: 5.000000e-04 eta: 5:22:47 time: 0.345532 data_time: 0.031515 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.865230 2023/08/09 21:30:00 - mmengine - INFO - Epoch(train) [42][150/327] lr: 5.000000e-04 eta: 5:22:44 time: 0.347031 data_time: 0.031798 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.851216 2023/08/09 21:30:03 - mmengine - INFO - Epoch(train) [42][160/327] lr: 5.000000e-04 eta: 5:22:40 time: 0.345835 data_time: 0.031955 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.855567 2023/08/09 21:30:07 - mmengine - INFO - Epoch(train) [42][170/327] lr: 5.000000e-04 eta: 5:22:36 time: 0.345223 data_time: 0.031532 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.888294 2023/08/09 21:30:10 - mmengine - INFO - Epoch(train) [42][180/327] lr: 5.000000e-04 eta: 5:22:33 time: 0.350492 data_time: 0.032041 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.886966 2023/08/09 21:30:14 - mmengine - INFO - Epoch(train) [42][190/327] lr: 5.000000e-04 eta: 5:22:30 time: 0.353642 data_time: 0.032447 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.898563 2023/08/09 21:30:17 - mmengine - INFO - Epoch(train) [42][200/327] lr: 5.000000e-04 eta: 5:22:26 time: 0.351454 data_time: 0.032377 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.911946 2023/08/09 21:30:21 - mmengine - INFO - Epoch(train) [42][210/327] lr: 5.000000e-04 eta: 5:22:23 time: 0.354624 data_time: 0.032518 memory: 4563 loss: 0.000822 loss_kpt: 0.000822 acc_pose: 0.879765 2023/08/09 21:30:24 - mmengine - INFO - Epoch(train) [42][220/327] lr: 5.000000e-04 eta: 5:22:19 time: 0.352896 data_time: 0.032281 memory: 4563 loss: 0.000833 loss_kpt: 0.000833 acc_pose: 0.816258 2023/08/09 21:30:28 - mmengine - INFO - Epoch(train) [42][230/327] lr: 5.000000e-04 eta: 5:22:15 time: 0.350110 data_time: 0.032013 memory: 4563 loss: 0.000830 loss_kpt: 0.000830 acc_pose: 0.866551 2023/08/09 21:30:31 - mmengine - INFO - Epoch(train) [42][240/327] lr: 5.000000e-04 eta: 5:22:12 time: 0.350203 data_time: 0.031863 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.900794 2023/08/09 21:30:35 - mmengine - INFO - Epoch(train) [42][250/327] lr: 5.000000e-04 eta: 5:22:08 time: 0.347928 data_time: 0.031832 memory: 4563 loss: 0.000849 loss_kpt: 0.000849 acc_pose: 0.818068 2023/08/09 21:30:38 - mmengine - INFO - Epoch(train) [42][260/327] lr: 5.000000e-04 eta: 5:22:04 time: 0.344844 data_time: 0.031763 memory: 4563 loss: 0.000848 loss_kpt: 0.000848 acc_pose: 0.783199 2023/08/09 21:30:42 - mmengine - INFO - Epoch(train) [42][270/327] lr: 5.000000e-04 eta: 5:22:01 time: 0.348601 data_time: 0.031776 memory: 4563 loss: 0.000815 loss_kpt: 0.000815 acc_pose: 0.798808 2023/08/09 21:30:45 - mmengine - INFO - Epoch(train) [42][280/327] lr: 5.000000e-04 eta: 5:21:57 time: 0.346676 data_time: 0.031342 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.874907 2023/08/09 21:30:49 - mmengine - INFO - Epoch(train) [42][290/327] lr: 5.000000e-04 eta: 5:21:53 time: 0.343479 data_time: 0.030930 memory: 4563 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.897126 2023/08/09 21:30:52 - mmengine - INFO - Epoch(train) [42][300/327] lr: 5.000000e-04 eta: 5:21:49 time: 0.342878 data_time: 0.030593 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.866036 2023/08/09 21:30:56 - mmengine - INFO - Epoch(train) [42][310/327] lr: 5.000000e-04 eta: 5:21:45 time: 0.346778 data_time: 0.030682 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.818015 2023/08/09 21:30:59 - mmengine - INFO - Epoch(train) [42][320/327] lr: 5.000000e-04 eta: 5:21:42 time: 0.345027 data_time: 0.033742 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.870608 2023/08/09 21:31:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:31:05 - mmengine - INFO - Epoch(train) [43][ 10/327] lr: 5.000000e-04 eta: 5:21:36 time: 0.350972 data_time: 0.038463 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.881868 2023/08/09 21:31:09 - mmengine - INFO - Epoch(train) [43][ 20/327] lr: 5.000000e-04 eta: 5:21:32 time: 0.351789 data_time: 0.039311 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.895192 2023/08/09 21:31:12 - mmengine - INFO - Epoch(train) [43][ 30/327] lr: 5.000000e-04 eta: 5:21:28 time: 0.346213 data_time: 0.039280 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.853346 2023/08/09 21:31:15 - mmengine - INFO - Epoch(train) [43][ 40/327] lr: 5.000000e-04 eta: 5:21:24 time: 0.343587 data_time: 0.036178 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.830574 2023/08/09 21:31:19 - mmengine - INFO - Epoch(train) [43][ 50/327] lr: 5.000000e-04 eta: 5:21:20 time: 0.345263 data_time: 0.036668 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.857471 2023/08/09 21:31:22 - mmengine - INFO - Epoch(train) [43][ 60/327] lr: 5.000000e-04 eta: 5:21:16 time: 0.337938 data_time: 0.031882 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.847989 2023/08/09 21:31:25 - mmengine - INFO - Epoch(train) [43][ 70/327] lr: 5.000000e-04 eta: 5:21:12 time: 0.337821 data_time: 0.031205 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.811996 2023/08/09 21:31:29 - mmengine - INFO - Epoch(train) [43][ 80/327] lr: 5.000000e-04 eta: 5:21:08 time: 0.340813 data_time: 0.031131 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.810817 2023/08/09 21:31:32 - mmengine - INFO - Epoch(train) [43][ 90/327] lr: 5.000000e-04 eta: 5:21:04 time: 0.340945 data_time: 0.031069 memory: 4563 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.871354 2023/08/09 21:31:36 - mmengine - INFO - Epoch(train) [43][100/327] lr: 5.000000e-04 eta: 5:21:00 time: 0.339588 data_time: 0.030781 memory: 4563 loss: 0.000829 loss_kpt: 0.000829 acc_pose: 0.908112 2023/08/09 21:31:39 - mmengine - INFO - Epoch(train) [43][110/327] lr: 5.000000e-04 eta: 5:20:57 time: 0.341951 data_time: 0.030724 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.876167 2023/08/09 21:31:43 - mmengine - INFO - Epoch(train) [43][120/327] lr: 5.000000e-04 eta: 5:20:53 time: 0.342517 data_time: 0.030956 memory: 4563 loss: 0.000857 loss_kpt: 0.000857 acc_pose: 0.914080 2023/08/09 21:31:46 - mmengine - INFO - Epoch(train) [43][130/327] lr: 5.000000e-04 eta: 5:20:49 time: 0.343314 data_time: 0.031146 memory: 4563 loss: 0.000854 loss_kpt: 0.000854 acc_pose: 0.860839 2023/08/09 21:31:50 - mmengine - INFO - Epoch(train) [43][140/327] lr: 5.000000e-04 eta: 5:20:46 time: 0.344673 data_time: 0.031758 memory: 4563 loss: 0.000868 loss_kpt: 0.000868 acc_pose: 0.831167 2023/08/09 21:31:53 - mmengine - INFO - Epoch(train) [43][150/327] lr: 5.000000e-04 eta: 5:20:42 time: 0.348957 data_time: 0.032902 memory: 4563 loss: 0.000858 loss_kpt: 0.000858 acc_pose: 0.864932 2023/08/09 21:31:57 - mmengine - INFO - Epoch(train) [43][160/327] lr: 5.000000e-04 eta: 5:20:39 time: 0.352140 data_time: 0.033407 memory: 4563 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.839368 2023/08/09 21:32:01 - mmengine - INFO - Epoch(train) [43][170/327] lr: 5.000000e-04 eta: 5:20:37 time: 0.360196 data_time: 0.036717 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.871309 2023/08/09 21:32:04 - mmengine - INFO - Epoch(train) [43][180/327] lr: 5.000000e-04 eta: 5:20:35 time: 0.368434 data_time: 0.037041 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.867460 2023/08/09 21:32:08 - mmengine - INFO - Epoch(train) [43][190/327] lr: 5.000000e-04 eta: 5:20:32 time: 0.369363 data_time: 0.037674 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.828984 2023/08/09 21:32:11 - mmengine - INFO - Epoch(train) [43][200/327] lr: 5.000000e-04 eta: 5:20:28 time: 0.367637 data_time: 0.037053 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.853175 2023/08/09 21:32:15 - mmengine - INFO - Epoch(train) [43][210/327] lr: 5.000000e-04 eta: 5:20:24 time: 0.361991 data_time: 0.036929 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.917705 2023/08/09 21:32:18 - mmengine - INFO - Epoch(train) [43][220/327] lr: 5.000000e-04 eta: 5:20:20 time: 0.354531 data_time: 0.033699 memory: 4563 loss: 0.000817 loss_kpt: 0.000817 acc_pose: 0.846617 2023/08/09 21:32:22 - mmengine - INFO - Epoch(train) [43][230/327] lr: 5.000000e-04 eta: 5:20:16 time: 0.344033 data_time: 0.033967 memory: 4563 loss: 0.000835 loss_kpt: 0.000835 acc_pose: 0.856250 2023/08/09 21:32:25 - mmengine - INFO - Epoch(train) [43][240/327] lr: 5.000000e-04 eta: 5:20:12 time: 0.341031 data_time: 0.032656 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.868435 2023/08/09 21:32:28 - mmengine - INFO - Epoch(train) [43][250/327] lr: 5.000000e-04 eta: 5:20:08 time: 0.340231 data_time: 0.032209 memory: 4563 loss: 0.000820 loss_kpt: 0.000820 acc_pose: 0.898198 2023/08/09 21:32:32 - mmengine - INFO - Epoch(train) [43][260/327] lr: 5.000000e-04 eta: 5:20:05 time: 0.343074 data_time: 0.031943 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.801622 2023/08/09 21:32:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:32:35 - mmengine - INFO - Epoch(train) [43][270/327] lr: 5.000000e-04 eta: 5:20:01 time: 0.342424 data_time: 0.031738 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.881722 2023/08/09 21:32:39 - mmengine - INFO - Epoch(train) [43][280/327] lr: 5.000000e-04 eta: 5:19:57 time: 0.342866 data_time: 0.031017 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.801878 2023/08/09 21:32:42 - mmengine - INFO - Epoch(train) [43][290/327] lr: 5.000000e-04 eta: 5:19:53 time: 0.345618 data_time: 0.031540 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.826664 2023/08/09 21:32:46 - mmengine - INFO - Epoch(train) [43][300/327] lr: 5.000000e-04 eta: 5:19:49 time: 0.345364 data_time: 0.031874 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.870594 2023/08/09 21:32:49 - mmengine - INFO - Epoch(train) [43][310/327] lr: 5.000000e-04 eta: 5:19:45 time: 0.341424 data_time: 0.031932 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.874690 2023/08/09 21:32:52 - mmengine - INFO - Epoch(train) [43][320/327] lr: 5.000000e-04 eta: 5:19:41 time: 0.339712 data_time: 0.031680 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.908730 2023/08/09 21:32:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:32:58 - mmengine - INFO - Epoch(train) [44][ 10/327] lr: 5.000000e-04 eta: 5:19:35 time: 0.339254 data_time: 0.034557 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.837845 2023/08/09 21:33:02 - mmengine - INFO - Epoch(train) [44][ 20/327] lr: 5.000000e-04 eta: 5:19:31 time: 0.343765 data_time: 0.034745 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.817540 2023/08/09 21:33:05 - mmengine - INFO - Epoch(train) [44][ 30/327] lr: 5.000000e-04 eta: 5:19:28 time: 0.347740 data_time: 0.037531 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.903529 2023/08/09 21:33:09 - mmengine - INFO - Epoch(train) [44][ 40/327] lr: 5.000000e-04 eta: 5:19:24 time: 0.348936 data_time: 0.037853 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.842135 2023/08/09 21:33:12 - mmengine - INFO - Epoch(train) [44][ 50/327] lr: 5.000000e-04 eta: 5:19:20 time: 0.350603 data_time: 0.038151 memory: 4563 loss: 0.000825 loss_kpt: 0.000825 acc_pose: 0.838701 2023/08/09 21:33:15 - mmengine - INFO - Epoch(train) [44][ 60/327] lr: 5.000000e-04 eta: 5:19:16 time: 0.344173 data_time: 0.034150 memory: 4563 loss: 0.000840 loss_kpt: 0.000840 acc_pose: 0.914240 2023/08/09 21:33:19 - mmengine - INFO - Epoch(train) [44][ 70/327] lr: 5.000000e-04 eta: 5:19:12 time: 0.338874 data_time: 0.033565 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.883911 2023/08/09 21:33:22 - mmengine - INFO - Epoch(train) [44][ 80/327] lr: 5.000000e-04 eta: 5:19:07 time: 0.334723 data_time: 0.030257 memory: 4563 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.844725 2023/08/09 21:33:26 - mmengine - INFO - Epoch(train) [44][ 90/327] lr: 5.000000e-04 eta: 5:19:04 time: 0.339731 data_time: 0.030264 memory: 4563 loss: 0.000812 loss_kpt: 0.000812 acc_pose: 0.805324 2023/08/09 21:33:29 - mmengine - INFO - Epoch(train) [44][100/327] lr: 5.000000e-04 eta: 5:19:00 time: 0.340116 data_time: 0.030556 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.882010 2023/08/09 21:33:33 - mmengine - INFO - Epoch(train) [44][110/327] lr: 5.000000e-04 eta: 5:18:56 time: 0.341716 data_time: 0.031034 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.804172 2023/08/09 21:33:36 - mmengine - INFO - Epoch(train) [44][120/327] lr: 5.000000e-04 eta: 5:18:52 time: 0.341172 data_time: 0.031028 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.904486 2023/08/09 21:33:39 - mmengine - INFO - Epoch(train) [44][130/327] lr: 5.000000e-04 eta: 5:18:48 time: 0.340541 data_time: 0.031007 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.897764 2023/08/09 21:33:43 - mmengine - INFO - Epoch(train) [44][140/327] lr: 5.000000e-04 eta: 5:18:44 time: 0.335193 data_time: 0.030691 memory: 4563 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.820587 2023/08/09 21:33:46 - mmengine - INFO - Epoch(train) [44][150/327] lr: 5.000000e-04 eta: 5:18:40 time: 0.334149 data_time: 0.030365 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.873637 2023/08/09 21:33:49 - mmengine - INFO - Epoch(train) [44][160/327] lr: 5.000000e-04 eta: 5:18:36 time: 0.334807 data_time: 0.030337 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.917134 2023/08/09 21:33:53 - mmengine - INFO - Epoch(train) [44][170/327] lr: 5.000000e-04 eta: 5:18:32 time: 0.337043 data_time: 0.030622 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.910501 2023/08/09 21:33:56 - mmengine - INFO - Epoch(train) [44][180/327] lr: 5.000000e-04 eta: 5:18:28 time: 0.340233 data_time: 0.030838 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.789275 2023/08/09 21:34:00 - mmengine - INFO - Epoch(train) [44][190/327] lr: 5.000000e-04 eta: 5:18:24 time: 0.340309 data_time: 0.030912 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.810753 2023/08/09 21:34:03 - mmengine - INFO - Epoch(train) [44][200/327] lr: 5.000000e-04 eta: 5:18:21 time: 0.346684 data_time: 0.031177 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.864294 2023/08/09 21:34:07 - mmengine - INFO - Epoch(train) [44][210/327] lr: 5.000000e-04 eta: 5:18:18 time: 0.348152 data_time: 0.030946 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.782107 2023/08/09 21:34:10 - mmengine - INFO - Epoch(train) [44][220/327] lr: 5.000000e-04 eta: 5:18:14 time: 0.347974 data_time: 0.030834 memory: 4563 loss: 0.000814 loss_kpt: 0.000814 acc_pose: 0.832742 2023/08/09 21:34:14 - mmengine - INFO - Epoch(train) [44][230/327] lr: 5.000000e-04 eta: 5:18:10 time: 0.349404 data_time: 0.030930 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.865479 2023/08/09 21:34:17 - mmengine - INFO - Epoch(train) [44][240/327] lr: 5.000000e-04 eta: 5:18:06 time: 0.350042 data_time: 0.031059 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.697436 2023/08/09 21:34:21 - mmengine - INFO - Epoch(train) [44][250/327] lr: 5.000000e-04 eta: 5:18:03 time: 0.347778 data_time: 0.031452 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.850641 2023/08/09 21:34:24 - mmengine - INFO - Epoch(train) [44][260/327] lr: 5.000000e-04 eta: 5:17:59 time: 0.344172 data_time: 0.031660 memory: 4563 loss: 0.000834 loss_kpt: 0.000834 acc_pose: 0.915230 2023/08/09 21:34:27 - mmengine - INFO - Epoch(train) [44][270/327] lr: 5.000000e-04 eta: 5:17:54 time: 0.341933 data_time: 0.031419 memory: 4563 loss: 0.000827 loss_kpt: 0.000827 acc_pose: 0.849232 2023/08/09 21:34:31 - mmengine - INFO - Epoch(train) [44][280/327] lr: 5.000000e-04 eta: 5:17:50 time: 0.337388 data_time: 0.031135 memory: 4563 loss: 0.000839 loss_kpt: 0.000839 acc_pose: 0.861301 2023/08/09 21:34:34 - mmengine - INFO - Epoch(train) [44][290/327] lr: 5.000000e-04 eta: 5:17:46 time: 0.335814 data_time: 0.030989 memory: 4563 loss: 0.000831 loss_kpt: 0.000831 acc_pose: 0.858682 2023/08/09 21:34:37 - mmengine - INFO - Epoch(train) [44][300/327] lr: 5.000000e-04 eta: 5:17:42 time: 0.332874 data_time: 0.030686 memory: 4563 loss: 0.000808 loss_kpt: 0.000808 acc_pose: 0.894089 2023/08/09 21:34:41 - mmengine - INFO - Epoch(train) [44][310/327] lr: 5.000000e-04 eta: 5:17:38 time: 0.336659 data_time: 0.030657 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.900702 2023/08/09 21:34:44 - mmengine - INFO - Epoch(train) [44][320/327] lr: 5.000000e-04 eta: 5:17:35 time: 0.338963 data_time: 0.030981 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.930952 2023/08/09 21:34:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:34:50 - mmengine - INFO - Epoch(train) [45][ 10/327] lr: 5.000000e-04 eta: 5:17:28 time: 0.342260 data_time: 0.035045 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.955665 2023/08/09 21:34:53 - mmengine - INFO - Epoch(train) [45][ 20/327] lr: 5.000000e-04 eta: 5:17:24 time: 0.341306 data_time: 0.034895 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.847647 2023/08/09 21:34:57 - mmengine - INFO - Epoch(train) [45][ 30/327] lr: 5.000000e-04 eta: 5:17:19 time: 0.336825 data_time: 0.034405 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.796322 2023/08/09 21:35:00 - mmengine - INFO - Epoch(train) [45][ 40/327] lr: 5.000000e-04 eta: 5:17:15 time: 0.336894 data_time: 0.034345 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.858259 2023/08/09 21:35:03 - mmengine - INFO - Epoch(train) [45][ 50/327] lr: 5.000000e-04 eta: 5:17:11 time: 0.337139 data_time: 0.034968 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.877352 2023/08/09 21:35:07 - mmengine - INFO - Epoch(train) [45][ 60/327] lr: 5.000000e-04 eta: 5:17:08 time: 0.336597 data_time: 0.031095 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.892080 2023/08/09 21:35:10 - mmengine - INFO - Epoch(train) [45][ 70/327] lr: 5.000000e-04 eta: 5:17:04 time: 0.340574 data_time: 0.031416 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.908358 2023/08/09 21:35:14 - mmengine - INFO - Epoch(train) [45][ 80/327] lr: 5.000000e-04 eta: 5:17:00 time: 0.340847 data_time: 0.031668 memory: 4563 loss: 0.000819 loss_kpt: 0.000819 acc_pose: 0.789912 2023/08/09 21:35:17 - mmengine - INFO - Epoch(train) [45][ 90/327] lr: 5.000000e-04 eta: 5:16:56 time: 0.341459 data_time: 0.032040 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.853768 2023/08/09 21:35:21 - mmengine - INFO - Epoch(train) [45][100/327] lr: 5.000000e-04 eta: 5:16:53 time: 0.346242 data_time: 0.031438 memory: 4563 loss: 0.000824 loss_kpt: 0.000824 acc_pose: 0.884458 2023/08/09 21:35:24 - mmengine - INFO - Epoch(train) [45][110/327] lr: 5.000000e-04 eta: 5:16:49 time: 0.344310 data_time: 0.031033 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.955952 2023/08/09 21:35:28 - mmengine - INFO - Epoch(train) [45][120/327] lr: 5.000000e-04 eta: 5:16:45 time: 0.343379 data_time: 0.031119 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.905172 2023/08/09 21:35:31 - mmengine - INFO - Epoch(train) [45][130/327] lr: 5.000000e-04 eta: 5:16:43 time: 0.354209 data_time: 0.030860 memory: 4563 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.941898 2023/08/09 21:35:35 - mmengine - INFO - Epoch(train) [45][140/327] lr: 5.000000e-04 eta: 5:16:41 time: 0.363432 data_time: 0.030596 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.803902 2023/08/09 21:35:39 - mmengine - INFO - Epoch(train) [45][150/327] lr: 5.000000e-04 eta: 5:16:38 time: 0.366734 data_time: 0.030689 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.805172 2023/08/09 21:35:43 - mmengine - INFO - Epoch(train) [45][160/327] lr: 5.000000e-04 eta: 5:16:36 time: 0.374390 data_time: 0.030466 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.869594 2023/08/09 21:35:46 - mmengine - INFO - Epoch(train) [45][170/327] lr: 5.000000e-04 eta: 5:16:33 time: 0.376719 data_time: 0.030224 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.874915 2023/08/09 21:35:50 - mmengine - INFO - Epoch(train) [45][180/327] lr: 5.000000e-04 eta: 5:16:29 time: 0.367238 data_time: 0.030298 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.812637 2023/08/09 21:35:53 - mmengine - INFO - Epoch(train) [45][190/327] lr: 5.000000e-04 eta: 5:16:25 time: 0.358666 data_time: 0.030254 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.843952 2023/08/09 21:35:57 - mmengine - INFO - Epoch(train) [45][200/327] lr: 5.000000e-04 eta: 5:16:21 time: 0.354077 data_time: 0.030603 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.931301 2023/08/09 21:36:00 - mmengine - INFO - Epoch(train) [45][210/327] lr: 5.000000e-04 eta: 5:16:18 time: 0.347140 data_time: 0.030794 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.828058 2023/08/09 21:36:03 - mmengine - INFO - Epoch(train) [45][220/327] lr: 5.000000e-04 eta: 5:16:13 time: 0.341980 data_time: 0.030789 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.832738 2023/08/09 21:36:07 - mmengine - INFO - Epoch(train) [45][230/327] lr: 5.000000e-04 eta: 5:16:09 time: 0.340876 data_time: 0.030871 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.873099 2023/08/09 21:36:10 - mmengine - INFO - Epoch(train) [45][240/327] lr: 5.000000e-04 eta: 5:16:05 time: 0.339445 data_time: 0.031112 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.895525 2023/08/09 21:36:14 - mmengine - INFO - Epoch(train) [45][250/327] lr: 5.000000e-04 eta: 5:16:01 time: 0.336058 data_time: 0.030979 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.813506 2023/08/09 21:36:17 - mmengine - INFO - Epoch(train) [45][260/327] lr: 5.000000e-04 eta: 5:15:57 time: 0.336922 data_time: 0.031315 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.896787 2023/08/09 21:36:21 - mmengine - INFO - Epoch(train) [45][270/327] lr: 5.000000e-04 eta: 5:15:54 time: 0.340973 data_time: 0.031437 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.928500 2023/08/09 21:36:24 - mmengine - INFO - Epoch(train) [45][280/327] lr: 5.000000e-04 eta: 5:15:50 time: 0.343520 data_time: 0.031900 memory: 4563 loss: 0.000805 loss_kpt: 0.000805 acc_pose: 0.872108 2023/08/09 21:36:28 - mmengine - INFO - Epoch(train) [45][290/327] lr: 5.000000e-04 eta: 5:15:47 time: 0.348727 data_time: 0.031748 memory: 4563 loss: 0.000813 loss_kpt: 0.000813 acc_pose: 0.836736 2023/08/09 21:36:31 - mmengine - INFO - Epoch(train) [45][300/327] lr: 5.000000e-04 eta: 5:15:43 time: 0.347731 data_time: 0.031581 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.915890 2023/08/09 21:36:34 - mmengine - INFO - Epoch(train) [45][310/327] lr: 5.000000e-04 eta: 5:15:39 time: 0.344543 data_time: 0.031182 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.873611 2023/08/09 21:36:38 - mmengine - INFO - Epoch(train) [45][320/327] lr: 5.000000e-04 eta: 5:15:35 time: 0.342787 data_time: 0.031113 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.904923 2023/08/09 21:36:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:36:44 - mmengine - INFO - Epoch(train) [46][ 10/327] lr: 5.000000e-04 eta: 5:15:29 time: 0.342737 data_time: 0.033561 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.832036 2023/08/09 21:36:47 - mmengine - INFO - Epoch(train) [46][ 20/327] lr: 5.000000e-04 eta: 5:15:26 time: 0.344804 data_time: 0.034320 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.852957 2023/08/09 21:36:51 - mmengine - INFO - Epoch(train) [46][ 30/327] lr: 5.000000e-04 eta: 5:15:22 time: 0.348229 data_time: 0.034960 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.946228 2023/08/09 21:36:54 - mmengine - INFO - Epoch(train) [46][ 40/327] lr: 5.000000e-04 eta: 5:15:19 time: 0.351355 data_time: 0.034967 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.806897 2023/08/09 21:36:58 - mmengine - INFO - Epoch(train) [46][ 50/327] lr: 5.000000e-04 eta: 5:15:15 time: 0.351961 data_time: 0.035561 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.812896 2023/08/09 21:37:01 - mmengine - INFO - Epoch(train) [46][ 60/327] lr: 5.000000e-04 eta: 5:15:12 time: 0.351652 data_time: 0.032740 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.742976 2023/08/09 21:37:05 - mmengine - INFO - Epoch(train) [46][ 70/327] lr: 5.000000e-04 eta: 5:15:09 time: 0.355893 data_time: 0.032381 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.828520 2023/08/09 21:37:09 - mmengine - INFO - Epoch(train) [46][ 80/327] lr: 5.000000e-04 eta: 5:15:06 time: 0.357882 data_time: 0.032438 memory: 4563 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.894325 2023/08/09 21:37:12 - mmengine - INFO - Epoch(train) [46][ 90/327] lr: 5.000000e-04 eta: 5:15:02 time: 0.356085 data_time: 0.032738 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.913306 2023/08/09 21:37:15 - mmengine - INFO - Epoch(train) [46][100/327] lr: 5.000000e-04 eta: 5:14:58 time: 0.356725 data_time: 0.032836 memory: 4563 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.840734 2023/08/09 21:37:19 - mmengine - INFO - Epoch(train) [46][110/327] lr: 5.000000e-04 eta: 5:14:54 time: 0.350961 data_time: 0.031933 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.894082 2023/08/09 21:37:22 - mmengine - INFO - Epoch(train) [46][120/327] lr: 5.000000e-04 eta: 5:14:51 time: 0.347015 data_time: 0.031362 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.883657 2023/08/09 21:37:26 - mmengine - INFO - Epoch(train) [46][130/327] lr: 5.000000e-04 eta: 5:14:47 time: 0.344036 data_time: 0.031164 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.856387 2023/08/09 21:37:29 - mmengine - INFO - Epoch(train) [46][140/327] lr: 5.000000e-04 eta: 5:14:44 time: 0.347722 data_time: 0.031055 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.801122 2023/08/09 21:37:33 - mmengine - INFO - Epoch(train) [46][150/327] lr: 5.000000e-04 eta: 5:14:41 time: 0.352573 data_time: 0.031815 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.856766 2023/08/09 21:37:37 - mmengine - INFO - Epoch(train) [46][160/327] lr: 5.000000e-04 eta: 5:14:37 time: 0.352994 data_time: 0.032716 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.902784 2023/08/09 21:37:40 - mmengine - INFO - Epoch(train) [46][170/327] lr: 5.000000e-04 eta: 5:14:33 time: 0.352627 data_time: 0.033038 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.863782 2023/08/09 21:37:43 - mmengine - INFO - Epoch(train) [46][180/327] lr: 5.000000e-04 eta: 5:14:30 time: 0.353429 data_time: 0.032857 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.860797 2023/08/09 21:37:47 - mmengine - INFO - Epoch(train) [46][190/327] lr: 5.000000e-04 eta: 5:14:26 time: 0.351794 data_time: 0.033001 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.915230 2023/08/09 21:37:51 - mmengine - INFO - Epoch(train) [46][200/327] lr: 5.000000e-04 eta: 5:14:23 time: 0.349354 data_time: 0.032702 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.902664 2023/08/09 21:37:54 - mmengine - INFO - Epoch(train) [46][210/327] lr: 5.000000e-04 eta: 5:14:20 time: 0.350678 data_time: 0.032091 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.931818 2023/08/09 21:37:58 - mmengine - INFO - Epoch(train) [46][220/327] lr: 5.000000e-04 eta: 5:14:17 time: 0.355061 data_time: 0.032282 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.821625 2023/08/09 21:38:02 - mmengine - INFO - Epoch(train) [46][230/327] lr: 5.000000e-04 eta: 5:14:14 time: 0.362951 data_time: 0.033354 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.898161 2023/08/09 21:38:05 - mmengine - INFO - Epoch(train) [46][240/327] lr: 5.000000e-04 eta: 5:14:12 time: 0.367229 data_time: 0.034094 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.790333 2023/08/09 21:38:09 - mmengine - INFO - Epoch(train) [46][250/327] lr: 5.000000e-04 eta: 5:14:08 time: 0.366808 data_time: 0.034376 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.852525 2023/08/09 21:38:12 - mmengine - INFO - Epoch(train) [46][260/327] lr: 5.000000e-04 eta: 5:14:05 time: 0.367903 data_time: 0.034858 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.799377 2023/08/09 21:38:16 - mmengine - INFO - Epoch(train) [46][270/327] lr: 5.000000e-04 eta: 5:14:02 time: 0.368173 data_time: 0.034622 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.887242 2023/08/09 21:38:20 - mmengine - INFO - Epoch(train) [46][280/327] lr: 5.000000e-04 eta: 5:13:59 time: 0.361602 data_time: 0.033559 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.878831 2023/08/09 21:38:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:38:23 - mmengine - INFO - Epoch(train) [46][290/327] lr: 5.000000e-04 eta: 5:13:55 time: 0.356858 data_time: 0.033036 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.817708 2023/08/09 21:38:27 - mmengine - INFO - Epoch(train) [46][300/327] lr: 5.000000e-04 eta: 5:13:52 time: 0.355263 data_time: 0.032867 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.880093 2023/08/09 21:38:30 - mmengine - INFO - Epoch(train) [46][310/327] lr: 5.000000e-04 eta: 5:13:48 time: 0.352103 data_time: 0.032229 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.829630 2023/08/09 21:38:34 - mmengine - INFO - Epoch(train) [46][320/327] lr: 5.000000e-04 eta: 5:13:44 time: 0.347540 data_time: 0.032451 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.818555 2023/08/09 21:38:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:38:40 - mmengine - INFO - Epoch(train) [47][ 10/327] lr: 5.000000e-04 eta: 5:13:39 time: 0.350443 data_time: 0.036267 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.847715 2023/08/09 21:38:43 - mmengine - INFO - Epoch(train) [47][ 20/327] lr: 5.000000e-04 eta: 5:13:35 time: 0.350282 data_time: 0.035743 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.890402 2023/08/09 21:38:47 - mmengine - INFO - Epoch(train) [47][ 30/327] lr: 5.000000e-04 eta: 5:13:32 time: 0.354703 data_time: 0.035695 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.862075 2023/08/09 21:38:50 - mmengine - INFO - Epoch(train) [47][ 40/327] lr: 5.000000e-04 eta: 5:13:28 time: 0.353889 data_time: 0.035894 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.877951 2023/08/09 21:38:54 - mmengine - INFO - Epoch(train) [47][ 50/327] lr: 5.000000e-04 eta: 5:13:24 time: 0.355536 data_time: 0.036177 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.834360 2023/08/09 21:38:57 - mmengine - INFO - Epoch(train) [47][ 60/327] lr: 5.000000e-04 eta: 5:13:21 time: 0.351869 data_time: 0.031499 memory: 4563 loss: 0.000786 loss_kpt: 0.000786 acc_pose: 0.840137 2023/08/09 21:39:01 - mmengine - INFO - Epoch(train) [47][ 70/327] lr: 5.000000e-04 eta: 5:13:18 time: 0.351730 data_time: 0.031856 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.850445 2023/08/09 21:39:04 - mmengine - INFO - Epoch(train) [47][ 80/327] lr: 5.000000e-04 eta: 5:13:15 time: 0.351698 data_time: 0.031794 memory: 4563 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.882138 2023/08/09 21:39:08 - mmengine - INFO - Epoch(train) [47][ 90/327] lr: 5.000000e-04 eta: 5:13:11 time: 0.352194 data_time: 0.031278 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.849754 2023/08/09 21:39:11 - mmengine - INFO - Epoch(train) [47][100/327] lr: 5.000000e-04 eta: 5:13:07 time: 0.353213 data_time: 0.031548 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.855090 2023/08/09 21:39:15 - mmengine - INFO - Epoch(train) [47][110/327] lr: 5.000000e-04 eta: 5:13:03 time: 0.347524 data_time: 0.031248 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.901307 2023/08/09 21:39:18 - mmengine - INFO - Epoch(train) [47][120/327] lr: 5.000000e-04 eta: 5:13:00 time: 0.347602 data_time: 0.030630 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.822917 2023/08/09 21:39:22 - mmengine - INFO - Epoch(train) [47][130/327] lr: 5.000000e-04 eta: 5:12:56 time: 0.343208 data_time: 0.030419 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.827837 2023/08/09 21:39:25 - mmengine - INFO - Epoch(train) [47][140/327] lr: 5.000000e-04 eta: 5:12:52 time: 0.342733 data_time: 0.030445 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.855357 2023/08/09 21:39:29 - mmengine - INFO - Epoch(train) [47][150/327] lr: 5.000000e-04 eta: 5:12:49 time: 0.346035 data_time: 0.030649 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.869511 2023/08/09 21:39:32 - mmengine - INFO - Epoch(train) [47][160/327] lr: 5.000000e-04 eta: 5:12:46 time: 0.350555 data_time: 0.031021 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.832037 2023/08/09 21:39:36 - mmengine - INFO - Epoch(train) [47][170/327] lr: 5.000000e-04 eta: 5:12:42 time: 0.351118 data_time: 0.031751 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.841667 2023/08/09 21:39:39 - mmengine - INFO - Epoch(train) [47][180/327] lr: 5.000000e-04 eta: 5:12:38 time: 0.351315 data_time: 0.031723 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.862500 2023/08/09 21:39:43 - mmengine - INFO - Epoch(train) [47][190/327] lr: 5.000000e-04 eta: 5:12:34 time: 0.350514 data_time: 0.031493 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.786216 2023/08/09 21:39:46 - mmengine - INFO - Epoch(train) [47][200/327] lr: 5.000000e-04 eta: 5:12:30 time: 0.345990 data_time: 0.031056 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.839457 2023/08/09 21:39:49 - mmengine - INFO - Epoch(train) [47][210/327] lr: 5.000000e-04 eta: 5:12:27 time: 0.341945 data_time: 0.030844 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.934823 2023/08/09 21:39:53 - mmengine - INFO - Epoch(train) [47][220/327] lr: 5.000000e-04 eta: 5:12:23 time: 0.342056 data_time: 0.030548 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.886017 2023/08/09 21:39:56 - mmengine - INFO - Epoch(train) [47][230/327] lr: 5.000000e-04 eta: 5:12:19 time: 0.342927 data_time: 0.030694 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.895238 2023/08/09 21:40:00 - mmengine - INFO - Epoch(train) [47][240/327] lr: 5.000000e-04 eta: 5:12:16 time: 0.347699 data_time: 0.034609 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.920060 2023/08/09 21:40:03 - mmengine - INFO - Epoch(train) [47][250/327] lr: 5.000000e-04 eta: 5:12:12 time: 0.348000 data_time: 0.034569 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.916092 2023/08/09 21:40:07 - mmengine - INFO - Epoch(train) [47][260/327] lr: 5.000000e-04 eta: 5:12:09 time: 0.350044 data_time: 0.034493 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.930334 2023/08/09 21:40:10 - mmengine - INFO - Epoch(train) [47][270/327] lr: 5.000000e-04 eta: 5:12:05 time: 0.349040 data_time: 0.034195 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.815476 2023/08/09 21:40:14 - mmengine - INFO - Epoch(train) [47][280/327] lr: 5.000000e-04 eta: 5:12:02 time: 0.350127 data_time: 0.034687 memory: 4563 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.818966 2023/08/09 21:40:17 - mmengine - INFO - Epoch(train) [47][290/327] lr: 5.000000e-04 eta: 5:11:58 time: 0.348377 data_time: 0.031273 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.846935 2023/08/09 21:40:21 - mmengine - INFO - Epoch(train) [47][300/327] lr: 5.000000e-04 eta: 5:11:54 time: 0.349698 data_time: 0.032424 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.894643 2023/08/09 21:40:24 - mmengine - INFO - Epoch(train) [47][310/327] lr: 5.000000e-04 eta: 5:11:51 time: 0.349228 data_time: 0.033425 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.857770 2023/08/09 21:40:28 - mmengine - INFO - Epoch(train) [47][320/327] lr: 5.000000e-04 eta: 5:11:47 time: 0.350272 data_time: 0.033770 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.905669 2023/08/09 21:40:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:40:34 - mmengine - INFO - Epoch(train) [48][ 10/327] lr: 5.000000e-04 eta: 5:11:41 time: 0.347999 data_time: 0.035655 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.757012 2023/08/09 21:40:37 - mmengine - INFO - Epoch(train) [48][ 20/327] lr: 5.000000e-04 eta: 5:11:38 time: 0.349271 data_time: 0.034713 memory: 4563 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.916311 2023/08/09 21:40:41 - mmengine - INFO - Epoch(train) [48][ 30/327] lr: 5.000000e-04 eta: 5:11:34 time: 0.349173 data_time: 0.033708 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.924885 2023/08/09 21:40:44 - mmengine - INFO - Epoch(train) [48][ 40/327] lr: 5.000000e-04 eta: 5:11:31 time: 0.348252 data_time: 0.034032 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.934937 2023/08/09 21:40:48 - mmengine - INFO - Epoch(train) [48][ 50/327] lr: 5.000000e-04 eta: 5:11:27 time: 0.352141 data_time: 0.035553 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.897989 2023/08/09 21:40:51 - mmengine - INFO - Epoch(train) [48][ 60/327] lr: 5.000000e-04 eta: 5:11:23 time: 0.348463 data_time: 0.031846 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.838690 2023/08/09 21:40:55 - mmengine - INFO - Epoch(train) [48][ 70/327] lr: 5.000000e-04 eta: 5:11:20 time: 0.347376 data_time: 0.031825 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.775176 2023/08/09 21:40:58 - mmengine - INFO - Epoch(train) [48][ 80/327] lr: 5.000000e-04 eta: 5:11:16 time: 0.347234 data_time: 0.031756 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.835661 2023/08/09 21:41:02 - mmengine - INFO - Epoch(train) [48][ 90/327] lr: 5.000000e-04 eta: 5:11:14 time: 0.356145 data_time: 0.032186 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.797894 2023/08/09 21:41:06 - mmengine - INFO - Epoch(train) [48][100/327] lr: 5.000000e-04 eta: 5:11:11 time: 0.356485 data_time: 0.031914 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.870396 2023/08/09 21:41:09 - mmengine - INFO - Epoch(train) [48][110/327] lr: 5.000000e-04 eta: 5:11:07 time: 0.358646 data_time: 0.032127 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.929745 2023/08/09 21:41:13 - mmengine - INFO - Epoch(train) [48][120/327] lr: 5.000000e-04 eta: 5:11:03 time: 0.359021 data_time: 0.032268 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.851293 2023/08/09 21:41:16 - mmengine - INFO - Epoch(train) [48][130/327] lr: 5.000000e-04 eta: 5:11:00 time: 0.359701 data_time: 0.033451 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.910050 2023/08/09 21:41:20 - mmengine - INFO - Epoch(train) [48][140/327] lr: 5.000000e-04 eta: 5:10:56 time: 0.351657 data_time: 0.033192 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.879823 2023/08/09 21:41:23 - mmengine - INFO - Epoch(train) [48][150/327] lr: 5.000000e-04 eta: 5:10:53 time: 0.348711 data_time: 0.032712 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.850389 2023/08/09 21:41:27 - mmengine - INFO - Epoch(train) [48][160/327] lr: 5.000000e-04 eta: 5:10:49 time: 0.348500 data_time: 0.032862 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.895346 2023/08/09 21:41:30 - mmengine - INFO - Epoch(train) [48][170/327] lr: 5.000000e-04 eta: 5:10:46 time: 0.348806 data_time: 0.033228 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.843151 2023/08/09 21:41:34 - mmengine - INFO - Epoch(train) [48][180/327] lr: 5.000000e-04 eta: 5:10:42 time: 0.347753 data_time: 0.032364 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.752546 2023/08/09 21:41:37 - mmengine - INFO - Epoch(train) [48][190/327] lr: 5.000000e-04 eta: 5:10:38 time: 0.347225 data_time: 0.031851 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.846063 2023/08/09 21:41:40 - mmengine - INFO - Epoch(train) [48][200/327] lr: 5.000000e-04 eta: 5:10:35 time: 0.347860 data_time: 0.031953 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.845004 2023/08/09 21:41:44 - mmengine - INFO - Epoch(train) [48][210/327] lr: 5.000000e-04 eta: 5:10:31 time: 0.347161 data_time: 0.031607 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.803321 2023/08/09 21:41:47 - mmengine - INFO - Epoch(train) [48][220/327] lr: 5.000000e-04 eta: 5:10:27 time: 0.346375 data_time: 0.031098 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.845275 2023/08/09 21:41:51 - mmengine - INFO - Epoch(train) [48][230/327] lr: 5.000000e-04 eta: 5:10:24 time: 0.350058 data_time: 0.031075 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.928142 2023/08/09 21:41:55 - mmengine - INFO - Epoch(train) [48][240/327] lr: 5.000000e-04 eta: 5:10:21 time: 0.351367 data_time: 0.031867 memory: 4563 loss: 0.000809 loss_kpt: 0.000809 acc_pose: 0.771691 2023/08/09 21:41:58 - mmengine - INFO - Epoch(train) [48][250/327] lr: 5.000000e-04 eta: 5:10:18 time: 0.354367 data_time: 0.032277 memory: 4563 loss: 0.000800 loss_kpt: 0.000800 acc_pose: 0.907778 2023/08/09 21:42:02 - mmengine - INFO - Epoch(train) [48][260/327] lr: 5.000000e-04 eta: 5:10:15 time: 0.360127 data_time: 0.032578 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.915212 2023/08/09 21:42:05 - mmengine - INFO - Epoch(train) [48][270/327] lr: 5.000000e-04 eta: 5:10:11 time: 0.359668 data_time: 0.032452 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.811494 2023/08/09 21:42:09 - mmengine - INFO - Epoch(train) [48][280/327] lr: 5.000000e-04 eta: 5:10:07 time: 0.354309 data_time: 0.032103 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.905482 2023/08/09 21:42:13 - mmengine - INFO - Epoch(train) [48][290/327] lr: 5.000000e-04 eta: 5:10:05 time: 0.359811 data_time: 0.031468 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.747700 2023/08/09 21:42:16 - mmengine - INFO - Epoch(train) [48][300/327] lr: 5.000000e-04 eta: 5:10:02 time: 0.361567 data_time: 0.031640 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.888631 2023/08/09 21:42:20 - mmengine - INFO - Epoch(train) [48][310/327] lr: 5.000000e-04 eta: 5:09:59 time: 0.361504 data_time: 0.034922 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.929078 2023/08/09 21:42:24 - mmengine - INFO - Epoch(train) [48][320/327] lr: 5.000000e-04 eta: 5:09:56 time: 0.363870 data_time: 0.035459 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.815231 2023/08/09 21:42:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:42:29 - mmengine - INFO - Epoch(train) [49][ 10/327] lr: 5.000000e-04 eta: 5:09:50 time: 0.361392 data_time: 0.038582 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.869017 2023/08/09 21:42:33 - mmengine - INFO - Epoch(train) [49][ 20/327] lr: 5.000000e-04 eta: 5:09:47 time: 0.360257 data_time: 0.038626 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.877092 2023/08/09 21:42:37 - mmengine - INFO - Epoch(train) [49][ 30/327] lr: 5.000000e-04 eta: 5:09:44 time: 0.362041 data_time: 0.038783 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.798372 2023/08/09 21:42:41 - mmengine - INFO - Epoch(train) [49][ 40/327] lr: 5.000000e-04 eta: 5:09:42 time: 0.364136 data_time: 0.035795 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.777517 2023/08/09 21:42:45 - mmengine - INFO - Epoch(train) [49][ 50/327] lr: 5.000000e-04 eta: 5:09:39 time: 0.374586 data_time: 0.037426 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.825123 2023/08/09 21:42:48 - mmengine - INFO - Epoch(train) [49][ 60/327] lr: 5.000000e-04 eta: 5:09:36 time: 0.375651 data_time: 0.034523 memory: 4563 loss: 0.000818 loss_kpt: 0.000818 acc_pose: 0.867824 2023/08/09 21:42:52 - mmengine - INFO - Epoch(train) [49][ 70/327] lr: 5.000000e-04 eta: 5:09:33 time: 0.372477 data_time: 0.034124 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.944037 2023/08/09 21:42:55 - mmengine - INFO - Epoch(train) [49][ 80/327] lr: 5.000000e-04 eta: 5:09:29 time: 0.368205 data_time: 0.033627 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.874444 2023/08/09 21:42:59 - mmengine - INFO - Epoch(train) [49][ 90/327] lr: 5.000000e-04 eta: 5:09:26 time: 0.360558 data_time: 0.032980 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.825463 2023/08/09 21:43:02 - mmengine - INFO - Epoch(train) [49][100/327] lr: 5.000000e-04 eta: 5:09:22 time: 0.352869 data_time: 0.032111 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.888380 2023/08/09 21:43:06 - mmengine - INFO - Epoch(train) [49][110/327] lr: 5.000000e-04 eta: 5:09:18 time: 0.349584 data_time: 0.031449 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.887491 2023/08/09 21:43:09 - mmengine - INFO - Epoch(train) [49][120/327] lr: 5.000000e-04 eta: 5:09:15 time: 0.349313 data_time: 0.031739 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.854968 2023/08/09 21:43:13 - mmengine - INFO - Epoch(train) [49][130/327] lr: 5.000000e-04 eta: 5:09:12 time: 0.354036 data_time: 0.032768 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.910484 2023/08/09 21:43:16 - mmengine - INFO - Epoch(train) [49][140/327] lr: 5.000000e-04 eta: 5:09:09 time: 0.354483 data_time: 0.032761 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.837763 2023/08/09 21:43:20 - mmengine - INFO - Epoch(train) [49][150/327] lr: 5.000000e-04 eta: 5:09:05 time: 0.355117 data_time: 0.032716 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.846366 2023/08/09 21:43:23 - mmengine - INFO - Epoch(train) [49][160/327] lr: 5.000000e-04 eta: 5:09:01 time: 0.352793 data_time: 0.032455 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.853324 2023/08/09 21:43:27 - mmengine - INFO - Epoch(train) [49][170/327] lr: 5.000000e-04 eta: 5:08:58 time: 0.352518 data_time: 0.032497 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.911175 2023/08/09 21:43:31 - mmengine - INFO - Epoch(train) [49][180/327] lr: 5.000000e-04 eta: 5:08:55 time: 0.351560 data_time: 0.031688 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.832413 2023/08/09 21:43:34 - mmengine - INFO - Epoch(train) [49][190/327] lr: 5.000000e-04 eta: 5:08:51 time: 0.351805 data_time: 0.031972 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.889113 2023/08/09 21:43:38 - mmengine - INFO - Epoch(train) [49][200/327] lr: 5.000000e-04 eta: 5:08:48 time: 0.351271 data_time: 0.032043 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.809483 2023/08/09 21:43:41 - mmengine - INFO - Epoch(train) [49][210/327] lr: 5.000000e-04 eta: 5:08:44 time: 0.353664 data_time: 0.032012 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.891551 2023/08/09 21:43:45 - mmengine - INFO - Epoch(train) [49][220/327] lr: 5.000000e-04 eta: 5:08:40 time: 0.351407 data_time: 0.031473 memory: 4563 loss: 0.000802 loss_kpt: 0.000802 acc_pose: 0.870012 2023/08/09 21:43:48 - mmengine - INFO - Epoch(train) [49][230/327] lr: 5.000000e-04 eta: 5:08:37 time: 0.348582 data_time: 0.031269 memory: 4563 loss: 0.000803 loss_kpt: 0.000803 acc_pose: 0.821971 2023/08/09 21:43:52 - mmengine - INFO - Epoch(train) [49][240/327] lr: 5.000000e-04 eta: 5:08:33 time: 0.349096 data_time: 0.031058 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.817308 2023/08/09 21:43:55 - mmengine - INFO - Epoch(train) [49][250/327] lr: 5.000000e-04 eta: 5:08:31 time: 0.356337 data_time: 0.031230 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.868928 2023/08/09 21:43:59 - mmengine - INFO - Epoch(train) [49][260/327] lr: 5.000000e-04 eta: 5:08:28 time: 0.361171 data_time: 0.031591 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.872640 2023/08/09 21:44:03 - mmengine - INFO - Epoch(train) [49][270/327] lr: 5.000000e-04 eta: 5:08:24 time: 0.361652 data_time: 0.031792 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.814316 2023/08/09 21:44:06 - mmengine - INFO - Epoch(train) [49][280/327] lr: 5.000000e-04 eta: 5:08:21 time: 0.359157 data_time: 0.031691 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.901694 2023/08/09 21:44:09 - mmengine - INFO - Epoch(train) [49][290/327] lr: 5.000000e-04 eta: 5:08:17 time: 0.358023 data_time: 0.031768 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.863678 2023/08/09 21:44:13 - mmengine - INFO - Epoch(train) [49][300/327] lr: 5.000000e-04 eta: 5:08:13 time: 0.351935 data_time: 0.031537 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.888736 2023/08/09 21:44:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:44:16 - mmengine - INFO - Epoch(train) [49][310/327] lr: 5.000000e-04 eta: 5:08:10 time: 0.346266 data_time: 0.031780 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.842857 2023/08/09 21:44:20 - mmengine - INFO - Epoch(train) [49][320/327] lr: 5.000000e-04 eta: 5:08:06 time: 0.347874 data_time: 0.032612 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.891178 2023/08/09 21:44:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:44:26 - mmengine - INFO - Epoch(train) [50][ 10/327] lr: 5.000000e-04 eta: 5:08:01 time: 0.351417 data_time: 0.037061 memory: 4563 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.886324 2023/08/09 21:44:29 - mmengine - INFO - Epoch(train) [50][ 20/327] lr: 5.000000e-04 eta: 5:07:56 time: 0.349285 data_time: 0.036857 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.910197 2023/08/09 21:44:33 - mmengine - INFO - Epoch(train) [50][ 30/327] lr: 5.000000e-04 eta: 5:07:52 time: 0.345235 data_time: 0.036207 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.885343 2023/08/09 21:44:36 - mmengine - INFO - Epoch(train) [50][ 40/327] lr: 5.000000e-04 eta: 5:07:48 time: 0.341164 data_time: 0.035102 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.844341 2023/08/09 21:44:39 - mmengine - INFO - Epoch(train) [50][ 50/327] lr: 5.000000e-04 eta: 5:07:44 time: 0.340924 data_time: 0.034821 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.822297 2023/08/09 21:44:43 - mmengine - INFO - Epoch(train) [50][ 60/327] lr: 5.000000e-04 eta: 5:07:41 time: 0.335829 data_time: 0.030528 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.796182 2023/08/09 21:44:46 - mmengine - INFO - Epoch(train) [50][ 70/327] lr: 5.000000e-04 eta: 5:07:37 time: 0.339521 data_time: 0.033210 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.822773 2023/08/09 21:44:50 - mmengine - INFO - Epoch(train) [50][ 80/327] lr: 5.000000e-04 eta: 5:07:33 time: 0.339686 data_time: 0.033717 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.840545 2023/08/09 21:44:53 - mmengine - INFO - Epoch(train) [50][ 90/327] lr: 5.000000e-04 eta: 5:07:29 time: 0.338924 data_time: 0.034254 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.848790 2023/08/09 21:44:56 - mmengine - INFO - Epoch(train) [50][100/327] lr: 5.000000e-04 eta: 5:07:25 time: 0.337560 data_time: 0.034267 memory: 4563 loss: 0.000797 loss_kpt: 0.000797 acc_pose: 0.866714 2023/08/09 21:45:00 - mmengine - INFO - Epoch(train) [50][110/327] lr: 5.000000e-04 eta: 5:07:21 time: 0.337342 data_time: 0.034182 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.863205 2023/08/09 21:45:03 - mmengine - INFO - Epoch(train) [50][120/327] lr: 5.000000e-04 eta: 5:07:17 time: 0.334927 data_time: 0.031736 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.873555 2023/08/09 21:45:06 - mmengine - INFO - Epoch(train) [50][130/327] lr: 5.000000e-04 eta: 5:07:13 time: 0.335847 data_time: 0.031700 memory: 4563 loss: 0.000793 loss_kpt: 0.000793 acc_pose: 0.897861 2023/08/09 21:45:10 - mmengine - INFO - Epoch(train) [50][140/327] lr: 5.000000e-04 eta: 5:07:09 time: 0.337106 data_time: 0.031366 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.881726 2023/08/09 21:45:13 - mmengine - INFO - Epoch(train) [50][150/327] lr: 5.000000e-04 eta: 5:07:05 time: 0.338221 data_time: 0.031348 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.870884 2023/08/09 21:45:17 - mmengine - INFO - Epoch(train) [50][160/327] lr: 5.000000e-04 eta: 5:07:01 time: 0.336845 data_time: 0.031389 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.912126 2023/08/09 21:45:20 - mmengine - INFO - Epoch(train) [50][170/327] lr: 5.000000e-04 eta: 5:06:57 time: 0.335619 data_time: 0.031541 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.893653 2023/08/09 21:45:23 - mmengine - INFO - Epoch(train) [50][180/327] lr: 5.000000e-04 eta: 5:06:53 time: 0.335878 data_time: 0.031061 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.926827 2023/08/09 21:45:27 - mmengine - INFO - Epoch(train) [50][190/327] lr: 5.000000e-04 eta: 5:06:49 time: 0.334478 data_time: 0.030965 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.923091 2023/08/09 21:45:30 - mmengine - INFO - Epoch(train) [50][200/327] lr: 5.000000e-04 eta: 5:06:45 time: 0.336093 data_time: 0.031018 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.841861 2023/08/09 21:45:33 - mmengine - INFO - Epoch(train) [50][210/327] lr: 5.000000e-04 eta: 5:06:41 time: 0.337567 data_time: 0.031005 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.818205 2023/08/09 21:45:37 - mmengine - INFO - Epoch(train) [50][220/327] lr: 5.000000e-04 eta: 5:06:38 time: 0.343689 data_time: 0.033749 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.837366 2023/08/09 21:45:41 - mmengine - INFO - Epoch(train) [50][230/327] lr: 5.000000e-04 eta: 5:06:34 time: 0.345005 data_time: 0.034494 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.903378 2023/08/09 21:45:44 - mmengine - INFO - Epoch(train) [50][240/327] lr: 5.000000e-04 eta: 5:06:30 time: 0.345895 data_time: 0.035365 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.767082 2023/08/09 21:45:47 - mmengine - INFO - Epoch(train) [50][250/327] lr: 5.000000e-04 eta: 5:06:26 time: 0.343985 data_time: 0.035945 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.831415 2023/08/09 21:45:51 - mmengine - INFO - Epoch(train) [50][260/327] lr: 5.000000e-04 eta: 5:06:22 time: 0.343241 data_time: 0.036731 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.810911 2023/08/09 21:45:54 - mmengine - INFO - Epoch(train) [50][270/327] lr: 5.000000e-04 eta: 5:06:19 time: 0.339943 data_time: 0.034518 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.787775 2023/08/09 21:45:57 - mmengine - INFO - Epoch(train) [50][280/327] lr: 5.000000e-04 eta: 5:06:15 time: 0.338835 data_time: 0.033872 memory: 4563 loss: 0.000798 loss_kpt: 0.000798 acc_pose: 0.853203 2023/08/09 21:46:01 - mmengine - INFO - Epoch(train) [50][290/327] lr: 5.000000e-04 eta: 5:06:11 time: 0.341177 data_time: 0.033629 memory: 4563 loss: 0.000807 loss_kpt: 0.000807 acc_pose: 0.910714 2023/08/09 21:46:04 - mmengine - INFO - Epoch(train) [50][300/327] lr: 5.000000e-04 eta: 5:06:07 time: 0.341556 data_time: 0.032937 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.908602 2023/08/09 21:46:08 - mmengine - INFO - Epoch(train) [50][310/327] lr: 5.000000e-04 eta: 5:06:03 time: 0.341683 data_time: 0.032377 memory: 4563 loss: 0.000801 loss_kpt: 0.000801 acc_pose: 0.845400 2023/08/09 21:46:11 - mmengine - INFO - Epoch(train) [50][320/327] lr: 5.000000e-04 eta: 5:05:59 time: 0.340458 data_time: 0.031888 memory: 4563 loss: 0.000799 loss_kpt: 0.000799 acc_pose: 0.910012 2023/08/09 21:46:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:46:13 - mmengine - INFO - Saving checkpoint at 50 epochs 2023/08/09 21:46:20 - mmengine - INFO - Epoch(val) [50][10/79] eta: 0:00:14 time: 0.195335 data_time: 0.013207 memory: 4563 2023/08/09 21:46:22 - mmengine - INFO - Epoch(val) [50][20/79] eta: 0:00:11 time: 0.195373 data_time: 0.013134 memory: 1634 2023/08/09 21:46:24 - mmengine - INFO - Epoch(val) [50][30/79] eta: 0:00:09 time: 0.195826 data_time: 0.013361 memory: 1634 2023/08/09 21:46:26 - mmengine - INFO - Epoch(val) [50][40/79] eta: 0:00:07 time: 0.196255 data_time: 0.013729 memory: 1634 2023/08/09 21:46:28 - mmengine - INFO - Epoch(val) [50][50/79] eta: 0:00:05 time: 0.198527 data_time: 0.014056 memory: 1634 2023/08/09 21:46:30 - mmengine - INFO - Epoch(val) [50][60/79] eta: 0:00:03 time: 0.195970 data_time: 0.012055 memory: 1634 2023/08/09 21:46:32 - mmengine - INFO - Epoch(val) [50][70/79] eta: 0:00:01 time: 0.195691 data_time: 0.012023 memory: 1634 2023/08/09 21:46:33 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 21:46:34 - mmengine - INFO - Evaluating AUC... 2023/08/09 21:46:34 - mmengine - INFO - Evaluating EPE... 2023/08/09 21:46:34 - mmengine - INFO - Epoch(val) [50][79/79] PCK: 0.969463 AUC: 0.745358 EPE: 10.164333 data_time: 0.012845 time: 0.194543 2023/08/09 21:46:38 - mmengine - INFO - Epoch(train) [51][ 10/327] lr: 5.000000e-04 eta: 5:05:54 time: 0.346961 data_time: 0.034858 memory: 4563 loss: 0.000791 loss_kpt: 0.000791 acc_pose: 0.821011 2023/08/09 21:46:41 - mmengine - INFO - Epoch(train) [51][ 20/327] lr: 5.000000e-04 eta: 5:05:51 time: 0.351162 data_time: 0.034802 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.796825 2023/08/09 21:46:45 - mmengine - INFO - Epoch(train) [51][ 30/327] lr: 5.000000e-04 eta: 5:05:48 time: 0.358158 data_time: 0.035347 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.825977 2023/08/09 21:46:49 - mmengine - INFO - Epoch(train) [51][ 40/327] lr: 5.000000e-04 eta: 5:05:46 time: 0.368795 data_time: 0.035882 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.919355 2023/08/09 21:46:53 - mmengine - INFO - Epoch(train) [51][ 50/327] lr: 5.000000e-04 eta: 5:05:43 time: 0.376116 data_time: 0.038485 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.789911 2023/08/09 21:46:56 - mmengine - INFO - Epoch(train) [51][ 60/327] lr: 5.000000e-04 eta: 5:05:40 time: 0.373605 data_time: 0.036186 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.909066 2023/08/09 21:47:00 - mmengine - INFO - Epoch(train) [51][ 70/327] lr: 5.000000e-04 eta: 5:05:38 time: 0.378321 data_time: 0.037321 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.911126 2023/08/09 21:47:04 - mmengine - INFO - Epoch(train) [51][ 80/327] lr: 5.000000e-04 eta: 5:05:35 time: 0.379017 data_time: 0.037664 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.865517 2023/08/09 21:47:08 - mmengine - INFO - Epoch(train) [51][ 90/327] lr: 5.000000e-04 eta: 5:05:33 time: 0.377115 data_time: 0.038381 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.852991 2023/08/09 21:47:11 - mmengine - INFO - Epoch(train) [51][100/327] lr: 5.000000e-04 eta: 5:05:29 time: 0.370068 data_time: 0.036579 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.951310 2023/08/09 21:47:15 - mmengine - INFO - Epoch(train) [51][110/327] lr: 5.000000e-04 eta: 5:05:26 time: 0.370883 data_time: 0.035312 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.866609 2023/08/09 21:47:18 - mmengine - INFO - Epoch(train) [51][120/327] lr: 5.000000e-04 eta: 5:05:23 time: 0.367134 data_time: 0.034726 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.873945 2023/08/09 21:47:22 - mmengine - INFO - Epoch(train) [51][130/327] lr: 5.000000e-04 eta: 5:05:19 time: 0.361323 data_time: 0.034540 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.882143 2023/08/09 21:47:25 - mmengine - INFO - Epoch(train) [51][140/327] lr: 5.000000e-04 eta: 5:05:15 time: 0.351333 data_time: 0.033284 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.859145 2023/08/09 21:47:29 - mmengine - INFO - Epoch(train) [51][150/327] lr: 5.000000e-04 eta: 5:05:11 time: 0.350804 data_time: 0.033223 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.898526 2023/08/09 21:47:32 - mmengine - INFO - Epoch(train) [51][160/327] lr: 5.000000e-04 eta: 5:05:08 time: 0.345155 data_time: 0.032920 memory: 4563 loss: 0.000785 loss_kpt: 0.000785 acc_pose: 0.901559 2023/08/09 21:47:35 - mmengine - INFO - Epoch(train) [51][170/327] lr: 5.000000e-04 eta: 5:05:04 time: 0.339993 data_time: 0.032465 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.867953 2023/08/09 21:47:39 - mmengine - INFO - Epoch(train) [51][180/327] lr: 5.000000e-04 eta: 5:05:00 time: 0.339816 data_time: 0.031678 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.949525 2023/08/09 21:47:42 - mmengine - INFO - Epoch(train) [51][190/327] lr: 5.000000e-04 eta: 5:04:56 time: 0.342327 data_time: 0.030837 memory: 4563 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.781032 2023/08/09 21:47:46 - mmengine - INFO - Epoch(train) [51][200/327] lr: 5.000000e-04 eta: 5:04:53 time: 0.344171 data_time: 0.031669 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.770833 2023/08/09 21:47:49 - mmengine - INFO - Epoch(train) [51][210/327] lr: 5.000000e-04 eta: 5:04:49 time: 0.342979 data_time: 0.031623 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.885369 2023/08/09 21:47:53 - mmengine - INFO - Epoch(train) [51][220/327] lr: 5.000000e-04 eta: 5:04:45 time: 0.346013 data_time: 0.031417 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.881545 2023/08/09 21:47:56 - mmengine - INFO - Epoch(train) [51][230/327] lr: 5.000000e-04 eta: 5:04:42 time: 0.349073 data_time: 0.031950 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.789584 2023/08/09 21:48:00 - mmengine - INFO - Epoch(train) [51][240/327] lr: 5.000000e-04 eta: 5:04:39 time: 0.351140 data_time: 0.032731 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.755273 2023/08/09 21:48:04 - mmengine - INFO - Epoch(train) [51][250/327] lr: 5.000000e-04 eta: 5:04:36 time: 0.359047 data_time: 0.032303 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.919693 2023/08/09 21:48:07 - mmengine - INFO - Epoch(train) [51][260/327] lr: 5.000000e-04 eta: 5:04:33 time: 0.360085 data_time: 0.032204 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.810018 2023/08/09 21:48:11 - mmengine - INFO - Epoch(train) [51][270/327] lr: 5.000000e-04 eta: 5:04:30 time: 0.362193 data_time: 0.032524 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.884852 2023/08/09 21:48:14 - mmengine - INFO - Epoch(train) [51][280/327] lr: 5.000000e-04 eta: 5:04:26 time: 0.359627 data_time: 0.032219 memory: 4563 loss: 0.000789 loss_kpt: 0.000789 acc_pose: 0.910197 2023/08/09 21:48:18 - mmengine - INFO - Epoch(train) [51][290/327] lr: 5.000000e-04 eta: 5:04:23 time: 0.359430 data_time: 0.031803 memory: 4563 loss: 0.000771 loss_kpt: 0.000771 acc_pose: 0.896424 2023/08/09 21:48:21 - mmengine - INFO - Epoch(train) [51][300/327] lr: 5.000000e-04 eta: 5:04:19 time: 0.353822 data_time: 0.031593 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.966935 2023/08/09 21:48:25 - mmengine - INFO - Epoch(train) [51][310/327] lr: 5.000000e-04 eta: 5:04:16 time: 0.356444 data_time: 0.031547 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.865672 2023/08/09 21:48:29 - mmengine - INFO - Epoch(train) [51][320/327] lr: 5.000000e-04 eta: 5:04:12 time: 0.354165 data_time: 0.031675 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.809447 2023/08/09 21:48:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:48:35 - mmengine - INFO - Epoch(train) [52][ 10/327] lr: 5.000000e-04 eta: 5:04:06 time: 0.352734 data_time: 0.035192 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.882338 2023/08/09 21:48:38 - mmengine - INFO - Epoch(train) [52][ 20/327] lr: 5.000000e-04 eta: 5:04:03 time: 0.353137 data_time: 0.035055 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.874624 2023/08/09 21:48:42 - mmengine - INFO - Epoch(train) [52][ 30/327] lr: 5.000000e-04 eta: 5:03:59 time: 0.352640 data_time: 0.035875 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.905665 2023/08/09 21:48:45 - mmengine - INFO - Epoch(train) [52][ 40/327] lr: 5.000000e-04 eta: 5:03:56 time: 0.347546 data_time: 0.036361 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.877771 2023/08/09 21:48:48 - mmengine - INFO - Epoch(train) [52][ 50/327] lr: 5.000000e-04 eta: 5:03:52 time: 0.351162 data_time: 0.036263 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.927125 2023/08/09 21:48:52 - mmengine - INFO - Epoch(train) [52][ 60/327] lr: 5.000000e-04 eta: 5:03:48 time: 0.349146 data_time: 0.033072 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.874840 2023/08/09 21:48:55 - mmengine - INFO - Epoch(train) [52][ 70/327] lr: 5.000000e-04 eta: 5:03:45 time: 0.345583 data_time: 0.033301 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.826519 2023/08/09 21:48:59 - mmengine - INFO - Epoch(train) [52][ 80/327] lr: 5.000000e-04 eta: 5:03:41 time: 0.348679 data_time: 0.032313 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.886549 2023/08/09 21:49:02 - mmengine - INFO - Epoch(train) [52][ 90/327] lr: 5.000000e-04 eta: 5:03:38 time: 0.348740 data_time: 0.031765 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.797989 2023/08/09 21:49:06 - mmengine - INFO - Epoch(train) [52][100/327] lr: 5.000000e-04 eta: 5:03:34 time: 0.347379 data_time: 0.031673 memory: 4563 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.846839 2023/08/09 21:49:09 - mmengine - INFO - Epoch(train) [52][110/327] lr: 5.000000e-04 eta: 5:03:30 time: 0.346828 data_time: 0.031200 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.877110 2023/08/09 21:49:13 - mmengine - INFO - Epoch(train) [52][120/327] lr: 5.000000e-04 eta: 5:03:27 time: 0.349117 data_time: 0.031157 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.914655 2023/08/09 21:49:16 - mmengine - INFO - Epoch(train) [52][130/327] lr: 5.000000e-04 eta: 5:03:23 time: 0.348204 data_time: 0.031615 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.885903 2023/08/09 21:49:20 - mmengine - INFO - Epoch(train) [52][140/327] lr: 5.000000e-04 eta: 5:03:20 time: 0.348691 data_time: 0.031379 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.950418 2023/08/09 21:49:23 - mmengine - INFO - Epoch(train) [52][150/327] lr: 5.000000e-04 eta: 5:03:16 time: 0.351288 data_time: 0.031548 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.892416 2023/08/09 21:49:27 - mmengine - INFO - Epoch(train) [52][160/327] lr: 5.000000e-04 eta: 5:03:13 time: 0.351963 data_time: 0.031446 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.905172 2023/08/09 21:49:31 - mmengine - INFO - Epoch(train) [52][170/327] lr: 5.000000e-04 eta: 5:03:10 time: 0.353932 data_time: 0.034312 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.922051 2023/08/09 21:49:34 - mmengine - INFO - Epoch(train) [52][180/327] lr: 5.000000e-04 eta: 5:03:07 time: 0.357039 data_time: 0.034565 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.841783 2023/08/09 21:49:38 - mmengine - INFO - Epoch(train) [52][190/327] lr: 5.000000e-04 eta: 5:03:03 time: 0.358711 data_time: 0.035113 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.893097 2023/08/09 21:49:41 - mmengine - INFO - Epoch(train) [52][200/327] lr: 5.000000e-04 eta: 5:03:00 time: 0.358145 data_time: 0.035342 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.902356 2023/08/09 21:49:45 - mmengine - INFO - Epoch(train) [52][210/327] lr: 5.000000e-04 eta: 5:02:58 time: 0.365607 data_time: 0.035372 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.852720 2023/08/09 21:49:49 - mmengine - INFO - Epoch(train) [52][220/327] lr: 5.000000e-04 eta: 5:02:55 time: 0.370076 data_time: 0.032459 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.929004 2023/08/09 21:49:52 - mmengine - INFO - Epoch(train) [52][230/327] lr: 5.000000e-04 eta: 5:02:51 time: 0.364668 data_time: 0.031920 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.926126 2023/08/09 21:49:56 - mmengine - INFO - Epoch(train) [52][240/327] lr: 5.000000e-04 eta: 5:02:48 time: 0.362420 data_time: 0.031408 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.867204 2023/08/09 21:49:59 - mmengine - INFO - Epoch(train) [52][250/327] lr: 5.000000e-04 eta: 5:02:44 time: 0.362636 data_time: 0.031733 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.974117 2023/08/09 21:50:03 - mmengine - INFO - Epoch(train) [52][260/327] lr: 5.000000e-04 eta: 5:02:40 time: 0.354098 data_time: 0.032133 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.880839 2023/08/09 21:50:06 - mmengine - INFO - Epoch(train) [52][270/327] lr: 5.000000e-04 eta: 5:02:37 time: 0.345033 data_time: 0.031908 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.796237 2023/08/09 21:50:10 - mmengine - INFO - Epoch(train) [52][280/327] lr: 5.000000e-04 eta: 5:02:33 time: 0.346129 data_time: 0.031654 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.865926 2023/08/09 21:50:13 - mmengine - INFO - Epoch(train) [52][290/327] lr: 5.000000e-04 eta: 5:02:29 time: 0.345200 data_time: 0.031629 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.862786 2023/08/09 21:50:17 - mmengine - INFO - Epoch(train) [52][300/327] lr: 5.000000e-04 eta: 5:02:25 time: 0.342837 data_time: 0.030959 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.886474 2023/08/09 21:50:20 - mmengine - INFO - Epoch(train) [52][310/327] lr: 5.000000e-04 eta: 5:02:22 time: 0.341923 data_time: 0.030412 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.832774 2023/08/09 21:50:24 - mmengine - INFO - Epoch(train) [52][320/327] lr: 5.000000e-04 eta: 5:02:18 time: 0.344338 data_time: 0.031065 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.852997 2023/08/09 21:50:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:50:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:50:30 - mmengine - INFO - Epoch(train) [53][ 10/327] lr: 5.000000e-04 eta: 5:02:13 time: 0.349463 data_time: 0.035490 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.912013 2023/08/09 21:50:33 - mmengine - INFO - Epoch(train) [53][ 20/327] lr: 5.000000e-04 eta: 5:02:09 time: 0.350606 data_time: 0.038300 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.866995 2023/08/09 21:50:36 - mmengine - INFO - Epoch(train) [53][ 30/327] lr: 5.000000e-04 eta: 5:02:05 time: 0.349286 data_time: 0.038476 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.835992 2023/08/09 21:50:40 - mmengine - INFO - Epoch(train) [53][ 40/327] lr: 5.000000e-04 eta: 5:02:01 time: 0.348174 data_time: 0.038816 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.878470 2023/08/09 21:50:43 - mmengine - INFO - Epoch(train) [53][ 50/327] lr: 5.000000e-04 eta: 5:01:57 time: 0.348999 data_time: 0.039503 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.852728 2023/08/09 21:50:47 - mmengine - INFO - Epoch(train) [53][ 60/327] lr: 5.000000e-04 eta: 5:01:54 time: 0.345892 data_time: 0.035908 memory: 4563 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.864418 2023/08/09 21:50:51 - mmengine - INFO - Epoch(train) [53][ 70/327] lr: 5.000000e-04 eta: 5:01:51 time: 0.349150 data_time: 0.033271 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.861679 2023/08/09 21:50:54 - mmengine - INFO - Epoch(train) [53][ 80/327] lr: 5.000000e-04 eta: 5:01:48 time: 0.358251 data_time: 0.033470 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.904024 2023/08/09 21:50:58 - mmengine - INFO - Epoch(train) [53][ 90/327] lr: 5.000000e-04 eta: 5:01:45 time: 0.358903 data_time: 0.032416 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.894048 2023/08/09 21:51:01 - mmengine - INFO - Epoch(train) [53][100/327] lr: 5.000000e-04 eta: 5:01:41 time: 0.357000 data_time: 0.031791 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.904960 2023/08/09 21:51:05 - mmengine - INFO - Epoch(train) [53][110/327] lr: 5.000000e-04 eta: 5:01:37 time: 0.352317 data_time: 0.031111 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.880648 2023/08/09 21:51:08 - mmengine - INFO - Epoch(train) [53][120/327] lr: 5.000000e-04 eta: 5:01:34 time: 0.353035 data_time: 0.031467 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.867583 2023/08/09 21:51:12 - mmengine - INFO - Epoch(train) [53][130/327] lr: 5.000000e-04 eta: 5:01:30 time: 0.346688 data_time: 0.032104 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.862733 2023/08/09 21:51:15 - mmengine - INFO - Epoch(train) [53][140/327] lr: 5.000000e-04 eta: 5:01:27 time: 0.348935 data_time: 0.032766 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.913810 2023/08/09 21:51:19 - mmengine - INFO - Epoch(train) [53][150/327] lr: 5.000000e-04 eta: 5:01:23 time: 0.349112 data_time: 0.033065 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.904823 2023/08/09 21:51:22 - mmengine - INFO - Epoch(train) [53][160/327] lr: 5.000000e-04 eta: 5:01:19 time: 0.349007 data_time: 0.033044 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.906324 2023/08/09 21:51:26 - mmengine - INFO - Epoch(train) [53][170/327] lr: 5.000000e-04 eta: 5:01:16 time: 0.350340 data_time: 0.036938 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.797237 2023/08/09 21:51:30 - mmengine - INFO - Epoch(train) [53][180/327] lr: 5.000000e-04 eta: 5:01:14 time: 0.360967 data_time: 0.037024 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.856447 2023/08/09 21:51:34 - mmengine - INFO - Epoch(train) [53][190/327] lr: 5.000000e-04 eta: 5:01:12 time: 0.365636 data_time: 0.038248 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.850369 2023/08/09 21:51:38 - mmengine - INFO - Epoch(train) [53][200/327] lr: 5.000000e-04 eta: 5:01:09 time: 0.377421 data_time: 0.039431 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.836131 2023/08/09 21:51:41 - mmengine - INFO - Epoch(train) [53][210/327] lr: 5.000000e-04 eta: 5:01:07 time: 0.386018 data_time: 0.041077 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.856243 2023/08/09 21:51:45 - mmengine - INFO - Epoch(train) [53][220/327] lr: 5.000000e-04 eta: 5:01:04 time: 0.388005 data_time: 0.038717 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.938602 2023/08/09 21:51:49 - mmengine - INFO - Epoch(train) [53][230/327] lr: 5.000000e-04 eta: 5:01:01 time: 0.377236 data_time: 0.037952 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.889271 2023/08/09 21:51:52 - mmengine - INFO - Epoch(train) [53][240/327] lr: 5.000000e-04 eta: 5:00:57 time: 0.373942 data_time: 0.036814 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.837632 2023/08/09 21:51:56 - mmengine - INFO - Epoch(train) [53][250/327] lr: 5.000000e-04 eta: 5:00:55 time: 0.372783 data_time: 0.036902 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.837828 2023/08/09 21:52:00 - mmengine - INFO - Epoch(train) [53][260/327] lr: 5.000000e-04 eta: 5:00:53 time: 0.378876 data_time: 0.036851 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.790064 2023/08/09 21:52:04 - mmengine - INFO - Epoch(train) [53][270/327] lr: 5.000000e-04 eta: 5:00:50 time: 0.377190 data_time: 0.035636 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.877709 2023/08/09 21:52:08 - mmengine - INFO - Epoch(train) [53][280/327] lr: 5.000000e-04 eta: 5:00:48 time: 0.385119 data_time: 0.035774 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.880249 2023/08/09 21:52:12 - mmengine - INFO - Epoch(train) [53][290/327] lr: 5.000000e-04 eta: 5:00:45 time: 0.386085 data_time: 0.035526 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.872376 2023/08/09 21:52:15 - mmengine - INFO - Epoch(train) [53][300/327] lr: 5.000000e-04 eta: 5:00:41 time: 0.376263 data_time: 0.035121 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.896451 2023/08/09 21:52:18 - mmengine - INFO - Epoch(train) [53][310/327] lr: 5.000000e-04 eta: 5:00:37 time: 0.362764 data_time: 0.034352 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.951509 2023/08/09 21:52:22 - mmengine - INFO - Epoch(train) [53][320/327] lr: 5.000000e-04 eta: 5:00:35 time: 0.362763 data_time: 0.034100 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.908429 2023/08/09 21:52:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:52:28 - mmengine - INFO - Epoch(train) [54][ 10/327] lr: 5.000000e-04 eta: 5:00:30 time: 0.358075 data_time: 0.040557 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.891034 2023/08/09 21:52:32 - mmengine - INFO - Epoch(train) [54][ 20/327] lr: 5.000000e-04 eta: 5:00:26 time: 0.360348 data_time: 0.039886 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.819355 2023/08/09 21:52:35 - mmengine - INFO - Epoch(train) [54][ 30/327] lr: 5.000000e-04 eta: 5:00:22 time: 0.360345 data_time: 0.039179 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.867565 2023/08/09 21:52:39 - mmengine - INFO - Epoch(train) [54][ 40/327] lr: 5.000000e-04 eta: 5:00:19 time: 0.358120 data_time: 0.038563 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.898851 2023/08/09 21:52:42 - mmengine - INFO - Epoch(train) [54][ 50/327] lr: 5.000000e-04 eta: 5:00:15 time: 0.356045 data_time: 0.038923 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.908226 2023/08/09 21:52:46 - mmengine - INFO - Epoch(train) [54][ 60/327] lr: 5.000000e-04 eta: 5:00:12 time: 0.348203 data_time: 0.031654 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.809455 2023/08/09 21:52:49 - mmengine - INFO - Epoch(train) [54][ 70/327] lr: 5.000000e-04 eta: 5:00:08 time: 0.348301 data_time: 0.031802 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.846168 2023/08/09 21:52:53 - mmengine - INFO - Epoch(train) [54][ 80/327] lr: 5.000000e-04 eta: 5:00:06 time: 0.356307 data_time: 0.032591 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.870874 2023/08/09 21:52:57 - mmengine - INFO - Epoch(train) [54][ 90/327] lr: 5.000000e-04 eta: 5:00:02 time: 0.356154 data_time: 0.032716 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.913332 2023/08/09 21:53:00 - mmengine - INFO - Epoch(train) [54][100/327] lr: 5.000000e-04 eta: 4:59:58 time: 0.354700 data_time: 0.032545 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.792082 2023/08/09 21:53:04 - mmengine - INFO - Epoch(train) [54][110/327] lr: 5.000000e-04 eta: 4:59:54 time: 0.353190 data_time: 0.031957 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.861330 2023/08/09 21:53:07 - mmengine - INFO - Epoch(train) [54][120/327] lr: 5.000000e-04 eta: 4:59:50 time: 0.350266 data_time: 0.031506 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.907963 2023/08/09 21:53:11 - mmengine - INFO - Epoch(train) [54][130/327] lr: 5.000000e-04 eta: 4:59:47 time: 0.345723 data_time: 0.030488 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.903770 2023/08/09 21:53:14 - mmengine - INFO - Epoch(train) [54][140/327] lr: 5.000000e-04 eta: 4:59:44 time: 0.346242 data_time: 0.030725 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.793993 2023/08/09 21:53:18 - mmengine - INFO - Epoch(train) [54][150/327] lr: 5.000000e-04 eta: 4:59:40 time: 0.348030 data_time: 0.030987 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.846878 2023/08/09 21:53:21 - mmengine - INFO - Epoch(train) [54][160/327] lr: 5.000000e-04 eta: 4:59:37 time: 0.351775 data_time: 0.031719 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.816810 2023/08/09 21:53:25 - mmengine - INFO - Epoch(train) [54][170/327] lr: 5.000000e-04 eta: 4:59:33 time: 0.352341 data_time: 0.032208 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.778643 2023/08/09 21:53:28 - mmengine - INFO - Epoch(train) [54][180/327] lr: 5.000000e-04 eta: 4:59:29 time: 0.348312 data_time: 0.032014 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.846644 2023/08/09 21:53:31 - mmengine - INFO - Epoch(train) [54][190/327] lr: 5.000000e-04 eta: 4:59:25 time: 0.347211 data_time: 0.031453 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.908398 2023/08/09 21:53:35 - mmengine - INFO - Epoch(train) [54][200/327] lr: 5.000000e-04 eta: 4:59:22 time: 0.348017 data_time: 0.031643 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.871778 2023/08/09 21:53:39 - mmengine - INFO - Epoch(train) [54][210/327] lr: 5.000000e-04 eta: 4:59:19 time: 0.347153 data_time: 0.032099 memory: 4563 loss: 0.000806 loss_kpt: 0.000806 acc_pose: 0.840018 2023/08/09 21:53:42 - mmengine - INFO - Epoch(train) [54][220/327] lr: 5.000000e-04 eta: 4:59:15 time: 0.348135 data_time: 0.032030 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.902498 2023/08/09 21:53:46 - mmengine - INFO - Epoch(train) [54][230/327] lr: 5.000000e-04 eta: 4:59:13 time: 0.357543 data_time: 0.032325 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.836987 2023/08/09 21:53:49 - mmengine - INFO - Epoch(train) [54][240/327] lr: 5.000000e-04 eta: 4:59:09 time: 0.357718 data_time: 0.032489 memory: 4563 loss: 0.000811 loss_kpt: 0.000811 acc_pose: 0.915848 2023/08/09 21:53:53 - mmengine - INFO - Epoch(train) [54][250/327] lr: 5.000000e-04 eta: 4:59:05 time: 0.356515 data_time: 0.032049 memory: 4563 loss: 0.000826 loss_kpt: 0.000826 acc_pose: 0.814442 2023/08/09 21:53:56 - mmengine - INFO - Epoch(train) [54][260/327] lr: 5.000000e-04 eta: 4:59:01 time: 0.352741 data_time: 0.030970 memory: 4563 loss: 0.000810 loss_kpt: 0.000810 acc_pose: 0.884943 2023/08/09 21:54:00 - mmengine - INFO - Epoch(train) [54][270/327] lr: 5.000000e-04 eta: 4:58:58 time: 0.351239 data_time: 0.030539 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.888303 2023/08/09 21:54:03 - mmengine - INFO - Epoch(train) [54][280/327] lr: 5.000000e-04 eta: 4:58:54 time: 0.345417 data_time: 0.030674 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.963499 2023/08/09 21:54:07 - mmengine - INFO - Epoch(train) [54][290/327] lr: 5.000000e-04 eta: 4:58:51 time: 0.346148 data_time: 0.031269 memory: 4563 loss: 0.000779 loss_kpt: 0.000779 acc_pose: 0.856744 2023/08/09 21:54:10 - mmengine - INFO - Epoch(train) [54][300/327] lr: 5.000000e-04 eta: 4:58:47 time: 0.350450 data_time: 0.034873 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.865957 2023/08/09 21:54:14 - mmengine - INFO - Epoch(train) [54][310/327] lr: 5.000000e-04 eta: 4:58:44 time: 0.351205 data_time: 0.034981 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.941915 2023/08/09 21:54:17 - mmengine - INFO - Epoch(train) [54][320/327] lr: 5.000000e-04 eta: 4:58:40 time: 0.351743 data_time: 0.035304 memory: 4563 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.831034 2023/08/09 21:54:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:54:23 - mmengine - INFO - Epoch(train) [55][ 10/327] lr: 5.000000e-04 eta: 4:58:34 time: 0.350117 data_time: 0.037336 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.888907 2023/08/09 21:54:27 - mmengine - INFO - Epoch(train) [55][ 20/327] lr: 5.000000e-04 eta: 4:58:31 time: 0.348851 data_time: 0.034158 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.910734 2023/08/09 21:54:31 - mmengine - INFO - Epoch(train) [55][ 30/327] lr: 5.000000e-04 eta: 4:58:29 time: 0.359792 data_time: 0.034495 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.891402 2023/08/09 21:54:34 - mmengine - INFO - Epoch(train) [55][ 40/327] lr: 5.000000e-04 eta: 4:58:25 time: 0.362297 data_time: 0.034828 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.825254 2023/08/09 21:54:38 - mmengine - INFO - Epoch(train) [55][ 50/327] lr: 5.000000e-04 eta: 4:58:22 time: 0.368322 data_time: 0.036353 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.883379 2023/08/09 21:54:41 - mmengine - INFO - Epoch(train) [55][ 60/327] lr: 5.000000e-04 eta: 4:58:18 time: 0.363999 data_time: 0.032707 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.867850 2023/08/09 21:54:45 - mmengine - INFO - Epoch(train) [55][ 70/327] lr: 5.000000e-04 eta: 4:58:14 time: 0.359679 data_time: 0.032180 memory: 4563 loss: 0.000792 loss_kpt: 0.000792 acc_pose: 0.885182 2023/08/09 21:54:48 - mmengine - INFO - Epoch(train) [55][ 80/327] lr: 5.000000e-04 eta: 4:58:11 time: 0.349745 data_time: 0.031978 memory: 4563 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.775000 2023/08/09 21:54:52 - mmengine - INFO - Epoch(train) [55][ 90/327] lr: 5.000000e-04 eta: 4:58:07 time: 0.349671 data_time: 0.032128 memory: 4563 loss: 0.000784 loss_kpt: 0.000784 acc_pose: 0.883241 2023/08/09 21:54:55 - mmengine - INFO - Epoch(train) [55][100/327] lr: 5.000000e-04 eta: 4:58:04 time: 0.347051 data_time: 0.032273 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.900794 2023/08/09 21:54:59 - mmengine - INFO - Epoch(train) [55][110/327] lr: 5.000000e-04 eta: 4:58:01 time: 0.350755 data_time: 0.032432 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.885114 2023/08/09 21:55:02 - mmengine - INFO - Epoch(train) [55][120/327] lr: 5.000000e-04 eta: 4:57:57 time: 0.351121 data_time: 0.032561 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.837953 2023/08/09 21:55:06 - mmengine - INFO - Epoch(train) [55][130/327] lr: 5.000000e-04 eta: 4:57:53 time: 0.351134 data_time: 0.032556 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.933333 2023/08/09 21:55:09 - mmengine - INFO - Epoch(train) [55][140/327] lr: 5.000000e-04 eta: 4:57:49 time: 0.348089 data_time: 0.031778 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.958797 2023/08/09 21:55:13 - mmengine - INFO - Epoch(train) [55][150/327] lr: 5.000000e-04 eta: 4:57:46 time: 0.347915 data_time: 0.031226 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.902382 2023/08/09 21:55:16 - mmengine - INFO - Epoch(train) [55][160/327] lr: 5.000000e-04 eta: 4:57:42 time: 0.346501 data_time: 0.031428 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.905615 2023/08/09 21:55:20 - mmengine - INFO - Epoch(train) [55][170/327] lr: 5.000000e-04 eta: 4:57:39 time: 0.347830 data_time: 0.032728 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.937454 2023/08/09 21:55:23 - mmengine - INFO - Epoch(train) [55][180/327] lr: 5.000000e-04 eta: 4:57:35 time: 0.349798 data_time: 0.033335 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.902025 2023/08/09 21:55:27 - mmengine - INFO - Epoch(train) [55][190/327] lr: 5.000000e-04 eta: 4:57:32 time: 0.350332 data_time: 0.033970 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.876389 2023/08/09 21:55:30 - mmengine - INFO - Epoch(train) [55][200/327] lr: 5.000000e-04 eta: 4:57:28 time: 0.350083 data_time: 0.034595 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.858591 2023/08/09 21:55:34 - mmengine - INFO - Epoch(train) [55][210/327] lr: 5.000000e-04 eta: 4:57:24 time: 0.347530 data_time: 0.034238 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.922989 2023/08/09 21:55:37 - mmengine - INFO - Epoch(train) [55][220/327] lr: 5.000000e-04 eta: 4:57:21 time: 0.346823 data_time: 0.033054 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.764592 2023/08/09 21:55:41 - mmengine - INFO - Epoch(train) [55][230/327] lr: 5.000000e-04 eta: 4:57:17 time: 0.348088 data_time: 0.033030 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.794109 2023/08/09 21:55:44 - mmengine - INFO - Epoch(train) [55][240/327] lr: 5.000000e-04 eta: 4:57:14 time: 0.349108 data_time: 0.032533 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.872126 2023/08/09 21:55:48 - mmengine - INFO - Epoch(train) [55][250/327] lr: 5.000000e-04 eta: 4:57:10 time: 0.349253 data_time: 0.031984 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.878017 2023/08/09 21:55:51 - mmengine - INFO - Epoch(train) [55][260/327] lr: 5.000000e-04 eta: 4:57:07 time: 0.350259 data_time: 0.031768 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.875093 2023/08/09 21:55:54 - mmengine - INFO - Epoch(train) [55][270/327] lr: 5.000000e-04 eta: 4:57:03 time: 0.349287 data_time: 0.031672 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.934082 2023/08/09 21:55:58 - mmengine - INFO - Epoch(train) [55][280/327] lr: 5.000000e-04 eta: 4:56:59 time: 0.344650 data_time: 0.030971 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.898807 2023/08/09 21:56:01 - mmengine - INFO - Epoch(train) [55][290/327] lr: 5.000000e-04 eta: 4:56:55 time: 0.343874 data_time: 0.030994 memory: 4563 loss: 0.000775 loss_kpt: 0.000775 acc_pose: 0.934289 2023/08/09 21:56:05 - mmengine - INFO - Epoch(train) [55][300/327] lr: 5.000000e-04 eta: 4:56:52 time: 0.349231 data_time: 0.031702 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.841758 2023/08/09 21:56:09 - mmengine - INFO - Epoch(train) [55][310/327] lr: 5.000000e-04 eta: 4:56:49 time: 0.350429 data_time: 0.032081 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.884316 2023/08/09 21:56:12 - mmengine - INFO - Epoch(train) [55][320/327] lr: 5.000000e-04 eta: 4:56:45 time: 0.350878 data_time: 0.032327 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.923276 2023/08/09 21:56:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:56:18 - mmengine - INFO - Epoch(train) [56][ 10/327] lr: 5.000000e-04 eta: 4:56:39 time: 0.352178 data_time: 0.036354 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.892573 2023/08/09 21:56:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:56:22 - mmengine - INFO - Epoch(train) [56][ 20/327] lr: 5.000000e-04 eta: 4:56:36 time: 0.351827 data_time: 0.035825 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.822538 2023/08/09 21:56:26 - mmengine - INFO - Epoch(train) [56][ 30/327] lr: 5.000000e-04 eta: 4:56:34 time: 0.360072 data_time: 0.036231 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.804885 2023/08/09 21:56:29 - mmengine - INFO - Epoch(train) [56][ 40/327] lr: 5.000000e-04 eta: 4:56:30 time: 0.359465 data_time: 0.035976 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.880292 2023/08/09 21:56:33 - mmengine - INFO - Epoch(train) [56][ 50/327] lr: 5.000000e-04 eta: 4:56:26 time: 0.364477 data_time: 0.039353 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.819745 2023/08/09 21:56:36 - mmengine - INFO - Epoch(train) [56][ 60/327] lr: 5.000000e-04 eta: 4:56:23 time: 0.359815 data_time: 0.035223 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.763811 2023/08/09 21:56:39 - mmengine - INFO - Epoch(train) [56][ 70/327] lr: 5.000000e-04 eta: 4:56:19 time: 0.353189 data_time: 0.034718 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.957124 2023/08/09 21:56:43 - mmengine - INFO - Epoch(train) [56][ 80/327] lr: 5.000000e-04 eta: 4:56:15 time: 0.341646 data_time: 0.033780 memory: 4563 loss: 0.000767 loss_kpt: 0.000767 acc_pose: 0.888506 2023/08/09 21:56:46 - mmengine - INFO - Epoch(train) [56][ 90/327] lr: 5.000000e-04 eta: 4:56:11 time: 0.340409 data_time: 0.033710 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.930111 2023/08/09 21:56:49 - mmengine - INFO - Epoch(train) [56][100/327] lr: 5.000000e-04 eta: 4:56:07 time: 0.335567 data_time: 0.030197 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.896552 2023/08/09 21:56:53 - mmengine - INFO - Epoch(train) [56][110/327] lr: 5.000000e-04 eta: 4:56:03 time: 0.338104 data_time: 0.030137 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.878672 2023/08/09 21:56:56 - mmengine - INFO - Epoch(train) [56][120/327] lr: 5.000000e-04 eta: 4:56:00 time: 0.341883 data_time: 0.031042 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.809355 2023/08/09 21:57:00 - mmengine - INFO - Epoch(train) [56][130/327] lr: 5.000000e-04 eta: 4:55:57 time: 0.347626 data_time: 0.031412 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.869287 2023/08/09 21:57:04 - mmengine - INFO - Epoch(train) [56][140/327] lr: 5.000000e-04 eta: 4:55:54 time: 0.357430 data_time: 0.032268 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.932471 2023/08/09 21:57:07 - mmengine - INFO - Epoch(train) [56][150/327] lr: 5.000000e-04 eta: 4:55:51 time: 0.361867 data_time: 0.032354 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.881116 2023/08/09 21:57:11 - mmengine - INFO - Epoch(train) [56][160/327] lr: 5.000000e-04 eta: 4:55:47 time: 0.358731 data_time: 0.032283 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.905754 2023/08/09 21:57:14 - mmengine - INFO - Epoch(train) [56][170/327] lr: 5.000000e-04 eta: 4:55:43 time: 0.355389 data_time: 0.031625 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.747116 2023/08/09 21:57:18 - mmengine - INFO - Epoch(train) [56][180/327] lr: 5.000000e-04 eta: 4:55:39 time: 0.350365 data_time: 0.031575 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.842323 2023/08/09 21:57:21 - mmengine - INFO - Epoch(train) [56][190/327] lr: 5.000000e-04 eta: 4:55:35 time: 0.342915 data_time: 0.031037 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.859036 2023/08/09 21:57:24 - mmengine - INFO - Epoch(train) [56][200/327] lr: 5.000000e-04 eta: 4:55:31 time: 0.338449 data_time: 0.030951 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.813506 2023/08/09 21:57:28 - mmengine - INFO - Epoch(train) [56][210/327] lr: 5.000000e-04 eta: 4:55:28 time: 0.341865 data_time: 0.034126 memory: 4563 loss: 0.000787 loss_kpt: 0.000787 acc_pose: 0.866324 2023/08/09 21:57:32 - mmengine - INFO - Epoch(train) [56][220/327] lr: 5.000000e-04 eta: 4:55:25 time: 0.347888 data_time: 0.034383 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.831332 2023/08/09 21:57:35 - mmengine - INFO - Epoch(train) [56][230/327] lr: 5.000000e-04 eta: 4:55:22 time: 0.353305 data_time: 0.035358 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.876644 2023/08/09 21:57:39 - mmengine - INFO - Epoch(train) [56][240/327] lr: 5.000000e-04 eta: 4:55:18 time: 0.352459 data_time: 0.035938 memory: 4563 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.835648 2023/08/09 21:57:42 - mmengine - INFO - Epoch(train) [56][250/327] lr: 5.000000e-04 eta: 4:55:14 time: 0.354217 data_time: 0.036162 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.884140 2023/08/09 21:57:46 - mmengine - INFO - Epoch(train) [56][260/327] lr: 5.000000e-04 eta: 4:55:11 time: 0.354405 data_time: 0.033187 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.847271 2023/08/09 21:57:49 - mmengine - INFO - Epoch(train) [56][270/327] lr: 5.000000e-04 eta: 4:55:07 time: 0.347200 data_time: 0.033115 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.900902 2023/08/09 21:57:53 - mmengine - INFO - Epoch(train) [56][280/327] lr: 5.000000e-04 eta: 4:55:03 time: 0.345603 data_time: 0.032761 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.862559 2023/08/09 21:57:56 - mmengine - INFO - Epoch(train) [56][290/327] lr: 5.000000e-04 eta: 4:54:59 time: 0.344798 data_time: 0.032877 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.904208 2023/08/09 21:58:00 - mmengine - INFO - Epoch(train) [56][300/327] lr: 5.000000e-04 eta: 4:54:57 time: 0.351823 data_time: 0.033985 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.787370 2023/08/09 21:58:03 - mmengine - INFO - Epoch(train) [56][310/327] lr: 5.000000e-04 eta: 4:54:54 time: 0.355879 data_time: 0.035231 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.936508 2023/08/09 21:58:07 - mmengine - INFO - Epoch(train) [56][320/327] lr: 5.000000e-04 eta: 4:54:50 time: 0.357480 data_time: 0.035268 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.840888 2023/08/09 21:58:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 21:58:13 - mmengine - INFO - Epoch(train) [57][ 10/327] lr: 5.000000e-04 eta: 4:54:44 time: 0.356110 data_time: 0.037516 memory: 4563 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.939571 2023/08/09 21:58:16 - mmengine - INFO - Epoch(train) [57][ 20/327] lr: 5.000000e-04 eta: 4:54:40 time: 0.352964 data_time: 0.036078 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.848157 2023/08/09 21:58:20 - mmengine - INFO - Epoch(train) [57][ 30/327] lr: 5.000000e-04 eta: 4:54:36 time: 0.343092 data_time: 0.034798 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.784397 2023/08/09 21:58:23 - mmengine - INFO - Epoch(train) [57][ 40/327] lr: 5.000000e-04 eta: 4:54:32 time: 0.343051 data_time: 0.034570 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.842668 2023/08/09 21:58:26 - mmengine - INFO - Epoch(train) [57][ 50/327] lr: 5.000000e-04 eta: 4:54:29 time: 0.343393 data_time: 0.035431 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.948359 2023/08/09 21:58:30 - mmengine - INFO - Epoch(train) [57][ 60/327] lr: 5.000000e-04 eta: 4:54:26 time: 0.348461 data_time: 0.031414 memory: 4563 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.907023 2023/08/09 21:58:34 - mmengine - INFO - Epoch(train) [57][ 70/327] lr: 5.000000e-04 eta: 4:54:23 time: 0.355627 data_time: 0.032073 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.857095 2023/08/09 21:58:38 - mmengine - INFO - Epoch(train) [57][ 80/327] lr: 5.000000e-04 eta: 4:54:20 time: 0.364598 data_time: 0.033381 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.867766 2023/08/09 21:58:42 - mmengine - INFO - Epoch(train) [57][ 90/327] lr: 5.000000e-04 eta: 4:54:18 time: 0.372400 data_time: 0.033801 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.853366 2023/08/09 21:58:46 - mmengine - INFO - Epoch(train) [57][100/327] lr: 5.000000e-04 eta: 4:54:16 time: 0.390199 data_time: 0.034027 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.881923 2023/08/09 21:58:49 - mmengine - INFO - Epoch(train) [57][110/327] lr: 5.000000e-04 eta: 4:54:13 time: 0.384552 data_time: 0.034633 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.897590 2023/08/09 21:58:53 - mmengine - INFO - Epoch(train) [57][120/327] lr: 5.000000e-04 eta: 4:54:09 time: 0.377595 data_time: 0.034294 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.893114 2023/08/09 21:58:56 - mmengine - INFO - Epoch(train) [57][130/327] lr: 5.000000e-04 eta: 4:54:06 time: 0.370620 data_time: 0.033201 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.901798 2023/08/09 21:59:00 - mmengine - INFO - Epoch(train) [57][140/327] lr: 5.000000e-04 eta: 4:54:02 time: 0.363510 data_time: 0.032652 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.899138 2023/08/09 21:59:03 - mmengine - INFO - Epoch(train) [57][150/327] lr: 5.000000e-04 eta: 4:53:58 time: 0.343467 data_time: 0.031889 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.912995 2023/08/09 21:59:06 - mmengine - INFO - Epoch(train) [57][160/327] lr: 5.000000e-04 eta: 4:53:54 time: 0.339141 data_time: 0.030706 memory: 4563 loss: 0.000790 loss_kpt: 0.000790 acc_pose: 0.868097 2023/08/09 21:59:10 - mmengine - INFO - Epoch(train) [57][170/327] lr: 5.000000e-04 eta: 4:53:50 time: 0.335700 data_time: 0.030344 memory: 4563 loss: 0.000804 loss_kpt: 0.000804 acc_pose: 0.868817 2023/08/09 21:59:13 - mmengine - INFO - Epoch(train) [57][180/327] lr: 5.000000e-04 eta: 4:53:46 time: 0.337123 data_time: 0.033272 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.898447 2023/08/09 21:59:17 - mmengine - INFO - Epoch(train) [57][190/327] lr: 5.000000e-04 eta: 4:53:42 time: 0.338263 data_time: 0.033572 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.890687 2023/08/09 21:59:21 - mmengine - INFO - Epoch(train) [57][200/327] lr: 5.000000e-04 eta: 4:53:40 time: 0.348834 data_time: 0.034136 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.929803 2023/08/09 21:59:24 - mmengine - INFO - Epoch(train) [57][210/327] lr: 5.000000e-04 eta: 4:53:36 time: 0.353197 data_time: 0.034620 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.826539 2023/08/09 21:59:27 - mmengine - INFO - Epoch(train) [57][220/327] lr: 5.000000e-04 eta: 4:53:32 time: 0.354350 data_time: 0.035160 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.791392 2023/08/09 21:59:31 - mmengine - INFO - Epoch(train) [57][230/327] lr: 5.000000e-04 eta: 4:53:28 time: 0.350415 data_time: 0.032085 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.894989 2023/08/09 21:59:34 - mmengine - INFO - Epoch(train) [57][240/327] lr: 5.000000e-04 eta: 4:53:24 time: 0.346720 data_time: 0.031824 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.880332 2023/08/09 21:59:38 - mmengine - INFO - Epoch(train) [57][250/327] lr: 5.000000e-04 eta: 4:53:21 time: 0.342706 data_time: 0.034442 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.820255 2023/08/09 21:59:41 - mmengine - INFO - Epoch(train) [57][260/327] lr: 5.000000e-04 eta: 4:53:17 time: 0.341573 data_time: 0.034562 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.892733 2023/08/09 21:59:44 - mmengine - INFO - Epoch(train) [57][270/327] lr: 5.000000e-04 eta: 4:53:14 time: 0.341365 data_time: 0.034086 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.913424 2023/08/09 21:59:48 - mmengine - INFO - Epoch(train) [57][280/327] lr: 5.000000e-04 eta: 4:53:10 time: 0.343559 data_time: 0.034019 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.938116 2023/08/09 21:59:51 - mmengine - INFO - Epoch(train) [57][290/327] lr: 5.000000e-04 eta: 4:53:06 time: 0.345266 data_time: 0.034060 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.792458 2023/08/09 21:59:55 - mmengine - INFO - Epoch(train) [57][300/327] lr: 5.000000e-04 eta: 4:53:02 time: 0.339932 data_time: 0.030879 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.843777 2023/08/09 21:59:58 - mmengine - INFO - Epoch(train) [57][310/327] lr: 5.000000e-04 eta: 4:52:59 time: 0.346718 data_time: 0.030725 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.967204 2023/08/09 22:00:02 - mmengine - INFO - Epoch(train) [57][320/327] lr: 5.000000e-04 eta: 4:52:56 time: 0.352753 data_time: 0.030851 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.817789 2023/08/09 22:00:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:00:08 - mmengine - INFO - Epoch(train) [58][ 10/327] lr: 5.000000e-04 eta: 4:52:50 time: 0.356015 data_time: 0.033788 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.865712 2023/08/09 22:00:12 - mmengine - INFO - Epoch(train) [58][ 20/327] lr: 5.000000e-04 eta: 4:52:47 time: 0.362174 data_time: 0.034681 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.826252 2023/08/09 22:00:15 - mmengine - INFO - Epoch(train) [58][ 30/327] lr: 5.000000e-04 eta: 4:52:44 time: 0.358858 data_time: 0.034550 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.873214 2023/08/09 22:00:19 - mmengine - INFO - Epoch(train) [58][ 40/327] lr: 5.000000e-04 eta: 4:52:40 time: 0.356245 data_time: 0.034702 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.859583 2023/08/09 22:00:22 - mmengine - INFO - Epoch(train) [58][ 50/327] lr: 5.000000e-04 eta: 4:52:37 time: 0.361430 data_time: 0.036218 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.905040 2023/08/09 22:00:26 - mmengine - INFO - Epoch(train) [58][ 60/327] lr: 5.000000e-04 eta: 4:52:33 time: 0.357183 data_time: 0.032399 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.922113 2023/08/09 22:00:29 - mmengine - INFO - Epoch(train) [58][ 70/327] lr: 5.000000e-04 eta: 4:52:30 time: 0.351545 data_time: 0.032325 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.818138 2023/08/09 22:00:33 - mmengine - INFO - Epoch(train) [58][ 80/327] lr: 5.000000e-04 eta: 4:52:26 time: 0.353031 data_time: 0.032967 memory: 4563 loss: 0.000788 loss_kpt: 0.000788 acc_pose: 0.841104 2023/08/09 22:00:37 - mmengine - INFO - Epoch(train) [58][ 90/327] lr: 5.000000e-04 eta: 4:52:23 time: 0.351875 data_time: 0.032912 memory: 4563 loss: 0.000794 loss_kpt: 0.000794 acc_pose: 0.841711 2023/08/09 22:00:40 - mmengine - INFO - Epoch(train) [58][100/327] lr: 5.000000e-04 eta: 4:52:20 time: 0.354951 data_time: 0.032636 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.879619 2023/08/09 22:00:44 - mmengine - INFO - Epoch(train) [58][110/327] lr: 5.000000e-04 eta: 4:52:16 time: 0.354685 data_time: 0.032460 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.907594 2023/08/09 22:00:47 - mmengine - INFO - Epoch(train) [58][120/327] lr: 5.000000e-04 eta: 4:52:13 time: 0.358142 data_time: 0.031834 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.830495 2023/08/09 22:00:51 - mmengine - INFO - Epoch(train) [58][130/327] lr: 5.000000e-04 eta: 4:52:09 time: 0.354512 data_time: 0.031091 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.867911 2023/08/09 22:00:54 - mmengine - INFO - Epoch(train) [58][140/327] lr: 5.000000e-04 eta: 4:52:05 time: 0.351973 data_time: 0.031058 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.906343 2023/08/09 22:00:58 - mmengine - INFO - Epoch(train) [58][150/327] lr: 5.000000e-04 eta: 4:52:02 time: 0.350225 data_time: 0.031045 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.832755 2023/08/09 22:01:01 - mmengine - INFO - Epoch(train) [58][160/327] lr: 5.000000e-04 eta: 4:51:59 time: 0.350325 data_time: 0.031202 memory: 4563 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.924637 2023/08/09 22:01:05 - mmengine - INFO - Epoch(train) [58][170/327] lr: 5.000000e-04 eta: 4:51:55 time: 0.347077 data_time: 0.031525 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.854266 2023/08/09 22:01:08 - mmengine - INFO - Epoch(train) [58][180/327] lr: 5.000000e-04 eta: 4:51:51 time: 0.348682 data_time: 0.031835 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.895934 2023/08/09 22:01:12 - mmengine - INFO - Epoch(train) [58][190/327] lr: 5.000000e-04 eta: 4:51:48 time: 0.349145 data_time: 0.031963 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.817212 2023/08/09 22:01:15 - mmengine - INFO - Epoch(train) [58][200/327] lr: 5.000000e-04 eta: 4:51:44 time: 0.346989 data_time: 0.032054 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.903175 2023/08/09 22:01:19 - mmengine - INFO - Epoch(train) [58][210/327] lr: 5.000000e-04 eta: 4:51:41 time: 0.347910 data_time: 0.032327 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.876786 2023/08/09 22:01:22 - mmengine - INFO - Epoch(train) [58][220/327] lr: 5.000000e-04 eta: 4:51:37 time: 0.349519 data_time: 0.032346 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.913976 2023/08/09 22:01:26 - mmengine - INFO - Epoch(train) [58][230/327] lr: 5.000000e-04 eta: 4:51:34 time: 0.350223 data_time: 0.032541 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.866092 2023/08/09 22:01:29 - mmengine - INFO - Epoch(train) [58][240/327] lr: 5.000000e-04 eta: 4:51:30 time: 0.349448 data_time: 0.032442 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.846781 2023/08/09 22:01:33 - mmengine - INFO - Epoch(train) [58][250/327] lr: 5.000000e-04 eta: 4:51:26 time: 0.349094 data_time: 0.032092 memory: 4563 loss: 0.000777 loss_kpt: 0.000777 acc_pose: 0.845821 2023/08/09 22:01:36 - mmengine - INFO - Epoch(train) [58][260/327] lr: 5.000000e-04 eta: 4:51:22 time: 0.346529 data_time: 0.032378 memory: 4563 loss: 0.000783 loss_kpt: 0.000783 acc_pose: 0.950788 2023/08/09 22:01:39 - mmengine - INFO - Epoch(train) [58][270/327] lr: 5.000000e-04 eta: 4:51:19 time: 0.345182 data_time: 0.031966 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.786216 2023/08/09 22:01:43 - mmengine - INFO - Epoch(train) [58][280/327] lr: 5.000000e-04 eta: 4:51:16 time: 0.348263 data_time: 0.032024 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.920142 2023/08/09 22:01:47 - mmengine - INFO - Epoch(train) [58][290/327] lr: 5.000000e-04 eta: 4:51:12 time: 0.350005 data_time: 0.032130 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.918280 2023/08/09 22:01:50 - mmengine - INFO - Epoch(train) [58][300/327] lr: 5.000000e-04 eta: 4:51:09 time: 0.352984 data_time: 0.032707 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.908296 2023/08/09 22:01:54 - mmengine - INFO - Epoch(train) [58][310/327] lr: 5.000000e-04 eta: 4:51:06 time: 0.358405 data_time: 0.032974 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.868692 2023/08/09 22:01:57 - mmengine - INFO - Epoch(train) [58][320/327] lr: 5.000000e-04 eta: 4:51:02 time: 0.359031 data_time: 0.033239 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.828316 2023/08/09 22:02:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:02:03 - mmengine - INFO - Epoch(train) [59][ 10/327] lr: 5.000000e-04 eta: 4:50:56 time: 0.357790 data_time: 0.036557 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.883883 2023/08/09 22:02:07 - mmengine - INFO - Epoch(train) [59][ 20/327] lr: 5.000000e-04 eta: 4:50:53 time: 0.354944 data_time: 0.036842 memory: 4563 loss: 0.000765 loss_kpt: 0.000765 acc_pose: 0.860776 2023/08/09 22:02:11 - mmengine - INFO - Epoch(train) [59][ 30/327] lr: 5.000000e-04 eta: 4:50:50 time: 0.356418 data_time: 0.037143 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.837385 2023/08/09 22:02:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:02:14 - mmengine - INFO - Epoch(train) [59][ 40/327] lr: 5.000000e-04 eta: 4:50:47 time: 0.358264 data_time: 0.037518 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.852648 2023/08/09 22:02:18 - mmengine - INFO - Epoch(train) [59][ 50/327] lr: 5.000000e-04 eta: 4:50:44 time: 0.364786 data_time: 0.038054 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.875378 2023/08/09 22:02:21 - mmengine - INFO - Epoch(train) [59][ 60/327] lr: 5.000000e-04 eta: 4:50:40 time: 0.359038 data_time: 0.033540 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.921900 2023/08/09 22:02:25 - mmengine - INFO - Epoch(train) [59][ 70/327] lr: 5.000000e-04 eta: 4:50:36 time: 0.359761 data_time: 0.033928 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.872856 2023/08/09 22:02:28 - mmengine - INFO - Epoch(train) [59][ 80/327] lr: 5.000000e-04 eta: 4:50:33 time: 0.356232 data_time: 0.033135 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.842105 2023/08/09 22:02:32 - mmengine - INFO - Epoch(train) [59][ 90/327] lr: 5.000000e-04 eta: 4:50:30 time: 0.355242 data_time: 0.032502 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.895346 2023/08/09 22:02:36 - mmengine - INFO - Epoch(train) [59][100/327] lr: 5.000000e-04 eta: 4:50:26 time: 0.353821 data_time: 0.033007 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.867407 2023/08/09 22:02:39 - mmengine - INFO - Epoch(train) [59][110/327] lr: 5.000000e-04 eta: 4:50:23 time: 0.355914 data_time: 0.033609 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.873568 2023/08/09 22:02:43 - mmengine - INFO - Epoch(train) [59][120/327] lr: 5.000000e-04 eta: 4:50:19 time: 0.354209 data_time: 0.032593 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.883220 2023/08/09 22:02:46 - mmengine - INFO - Epoch(train) [59][130/327] lr: 5.000000e-04 eta: 4:50:16 time: 0.352435 data_time: 0.032681 memory: 4563 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.880709 2023/08/09 22:02:50 - mmengine - INFO - Epoch(train) [59][140/327] lr: 5.000000e-04 eta: 4:50:12 time: 0.352421 data_time: 0.032769 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.846429 2023/08/09 22:02:53 - mmengine - INFO - Epoch(train) [59][150/327] lr: 5.000000e-04 eta: 4:50:08 time: 0.349087 data_time: 0.032281 memory: 4563 loss: 0.000781 loss_kpt: 0.000781 acc_pose: 0.875775 2023/08/09 22:02:57 - mmengine - INFO - Epoch(train) [59][160/327] lr: 5.000000e-04 eta: 4:50:05 time: 0.348964 data_time: 0.032192 memory: 4563 loss: 0.000774 loss_kpt: 0.000774 acc_pose: 0.878917 2023/08/09 22:03:00 - mmengine - INFO - Epoch(train) [59][170/327] lr: 5.000000e-04 eta: 4:50:02 time: 0.351239 data_time: 0.032463 memory: 4563 loss: 0.000780 loss_kpt: 0.000780 acc_pose: 0.878876 2023/08/09 22:03:04 - mmengine - INFO - Epoch(train) [59][180/327] lr: 5.000000e-04 eta: 4:49:59 time: 0.354837 data_time: 0.032361 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.873659 2023/08/09 22:03:07 - mmengine - INFO - Epoch(train) [59][190/327] lr: 5.000000e-04 eta: 4:49:55 time: 0.352558 data_time: 0.032496 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.892742 2023/08/09 22:03:11 - mmengine - INFO - Epoch(train) [59][200/327] lr: 5.000000e-04 eta: 4:49:51 time: 0.351709 data_time: 0.032265 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.905619 2023/08/09 22:03:14 - mmengine - INFO - Epoch(train) [59][210/327] lr: 5.000000e-04 eta: 4:49:48 time: 0.356298 data_time: 0.032368 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.847126 2023/08/09 22:03:18 - mmengine - INFO - Epoch(train) [59][220/327] lr: 5.000000e-04 eta: 4:49:46 time: 0.362744 data_time: 0.032453 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.894105 2023/08/09 22:03:22 - mmengine - INFO - Epoch(train) [59][230/327] lr: 5.000000e-04 eta: 4:49:43 time: 0.363947 data_time: 0.032450 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.906591 2023/08/09 22:03:25 - mmengine - INFO - Epoch(train) [59][240/327] lr: 5.000000e-04 eta: 4:49:39 time: 0.363800 data_time: 0.032119 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.868842 2023/08/09 22:03:29 - mmengine - INFO - Epoch(train) [59][250/327] lr: 5.000000e-04 eta: 4:49:35 time: 0.365673 data_time: 0.032646 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.895004 2023/08/09 22:03:33 - mmengine - INFO - Epoch(train) [59][260/327] lr: 5.000000e-04 eta: 4:49:32 time: 0.363013 data_time: 0.032404 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.876539 2023/08/09 22:03:36 - mmengine - INFO - Epoch(train) [59][270/327] lr: 5.000000e-04 eta: 4:49:29 time: 0.358387 data_time: 0.033054 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.895628 2023/08/09 22:03:40 - mmengine - INFO - Epoch(train) [59][280/327] lr: 5.000000e-04 eta: 4:49:25 time: 0.352176 data_time: 0.033190 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.853768 2023/08/09 22:03:43 - mmengine - INFO - Epoch(train) [59][290/327] lr: 5.000000e-04 eta: 4:49:21 time: 0.351938 data_time: 0.033017 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.851221 2023/08/09 22:03:47 - mmengine - INFO - Epoch(train) [59][300/327] lr: 5.000000e-04 eta: 4:49:18 time: 0.351496 data_time: 0.032564 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.920567 2023/08/09 22:03:50 - mmengine - INFO - Epoch(train) [59][310/327] lr: 5.000000e-04 eta: 4:49:15 time: 0.353336 data_time: 0.035467 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.939573 2023/08/09 22:03:54 - mmengine - INFO - Epoch(train) [59][320/327] lr: 5.000000e-04 eta: 4:49:11 time: 0.351477 data_time: 0.034834 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.871994 2023/08/09 22:03:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:04:00 - mmengine - INFO - Epoch(train) [60][ 10/327] lr: 5.000000e-04 eta: 4:49:05 time: 0.355013 data_time: 0.037653 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.801537 2023/08/09 22:04:03 - mmengine - INFO - Epoch(train) [60][ 20/327] lr: 5.000000e-04 eta: 4:49:02 time: 0.355770 data_time: 0.037669 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.860410 2023/08/09 22:04:07 - mmengine - INFO - Epoch(train) [60][ 30/327] lr: 5.000000e-04 eta: 4:48:58 time: 0.353156 data_time: 0.037589 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.899678 2023/08/09 22:04:10 - mmengine - INFO - Epoch(train) [60][ 40/327] lr: 5.000000e-04 eta: 4:48:55 time: 0.349874 data_time: 0.034072 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.872396 2023/08/09 22:04:14 - mmengine - INFO - Epoch(train) [60][ 50/327] lr: 5.000000e-04 eta: 4:48:51 time: 0.354622 data_time: 0.034967 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.846362 2023/08/09 22:04:18 - mmengine - INFO - Epoch(train) [60][ 60/327] lr: 5.000000e-04 eta: 4:48:48 time: 0.353836 data_time: 0.031438 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.932019 2023/08/09 22:04:21 - mmengine - INFO - Epoch(train) [60][ 70/327] lr: 5.000000e-04 eta: 4:48:44 time: 0.353013 data_time: 0.031453 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.865919 2023/08/09 22:04:24 - mmengine - INFO - Epoch(train) [60][ 80/327] lr: 5.000000e-04 eta: 4:48:41 time: 0.353527 data_time: 0.031518 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.921449 2023/08/09 22:04:28 - mmengine - INFO - Epoch(train) [60][ 90/327] lr: 5.000000e-04 eta: 4:48:37 time: 0.351042 data_time: 0.031260 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.902151 2023/08/09 22:04:31 - mmengine - INFO - Epoch(train) [60][100/327] lr: 5.000000e-04 eta: 4:48:33 time: 0.348234 data_time: 0.030825 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.879228 2023/08/09 22:04:35 - mmengine - INFO - Epoch(train) [60][110/327] lr: 5.000000e-04 eta: 4:48:30 time: 0.345419 data_time: 0.030901 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.895057 2023/08/09 22:04:38 - mmengine - INFO - Epoch(train) [60][120/327] lr: 5.000000e-04 eta: 4:48:27 time: 0.350186 data_time: 0.030933 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.903259 2023/08/09 22:04:42 - mmengine - INFO - Epoch(train) [60][130/327] lr: 5.000000e-04 eta: 4:48:24 time: 0.357419 data_time: 0.031071 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.817418 2023/08/09 22:04:46 - mmengine - INFO - Epoch(train) [60][140/327] lr: 5.000000e-04 eta: 4:48:20 time: 0.359051 data_time: 0.031186 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.900221 2023/08/09 22:04:49 - mmengine - INFO - Epoch(train) [60][150/327] lr: 5.000000e-04 eta: 4:48:17 time: 0.358990 data_time: 0.031208 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.861453 2023/08/09 22:04:53 - mmengine - INFO - Epoch(train) [60][160/327] lr: 5.000000e-04 eta: 4:48:13 time: 0.361048 data_time: 0.031406 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.887030 2023/08/09 22:04:56 - mmengine - INFO - Epoch(train) [60][170/327] lr: 5.000000e-04 eta: 4:48:10 time: 0.357086 data_time: 0.031698 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.923522 2023/08/09 22:05:00 - mmengine - INFO - Epoch(train) [60][180/327] lr: 5.000000e-04 eta: 4:48:06 time: 0.349610 data_time: 0.031335 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.819114 2023/08/09 22:05:03 - mmengine - INFO - Epoch(train) [60][190/327] lr: 5.000000e-04 eta: 4:48:03 time: 0.350332 data_time: 0.031937 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.870999 2023/08/09 22:05:07 - mmengine - INFO - Epoch(train) [60][200/327] lr: 5.000000e-04 eta: 4:47:59 time: 0.352887 data_time: 0.032048 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.880244 2023/08/09 22:05:10 - mmengine - INFO - Epoch(train) [60][210/327] lr: 5.000000e-04 eta: 4:47:56 time: 0.349794 data_time: 0.031744 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.778058 2023/08/09 22:05:14 - mmengine - INFO - Epoch(train) [60][220/327] lr: 5.000000e-04 eta: 4:47:52 time: 0.348708 data_time: 0.031363 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.872762 2023/08/09 22:05:17 - mmengine - INFO - Epoch(train) [60][230/327] lr: 5.000000e-04 eta: 4:47:48 time: 0.349298 data_time: 0.031372 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.855489 2023/08/09 22:05:21 - mmengine - INFO - Epoch(train) [60][240/327] lr: 5.000000e-04 eta: 4:47:45 time: 0.347014 data_time: 0.030901 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.883017 2023/08/09 22:05:24 - mmengine - INFO - Epoch(train) [60][250/327] lr: 5.000000e-04 eta: 4:47:41 time: 0.348127 data_time: 0.031456 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.879909 2023/08/09 22:05:28 - mmengine - INFO - Epoch(train) [60][260/327] lr: 5.000000e-04 eta: 4:47:38 time: 0.349443 data_time: 0.032109 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.913987 2023/08/09 22:05:32 - mmengine - INFO - Epoch(train) [60][270/327] lr: 5.000000e-04 eta: 4:47:35 time: 0.354965 data_time: 0.032671 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.881672 2023/08/09 22:05:35 - mmengine - INFO - Epoch(train) [60][280/327] lr: 5.000000e-04 eta: 4:47:31 time: 0.354590 data_time: 0.032876 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.925517 2023/08/09 22:05:38 - mmengine - INFO - Epoch(train) [60][290/327] lr: 5.000000e-04 eta: 4:47:28 time: 0.355259 data_time: 0.033046 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.860487 2023/08/09 22:05:42 - mmengine - INFO - Epoch(train) [60][300/327] lr: 5.000000e-04 eta: 4:47:24 time: 0.352631 data_time: 0.032379 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.881687 2023/08/09 22:05:46 - mmengine - INFO - Epoch(train) [60][310/327] lr: 5.000000e-04 eta: 4:47:21 time: 0.354146 data_time: 0.032252 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.933871 2023/08/09 22:05:49 - mmengine - INFO - Epoch(train) [60][320/327] lr: 5.000000e-04 eta: 4:47:17 time: 0.350986 data_time: 0.032079 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.818966 2023/08/09 22:05:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:05:51 - mmengine - INFO - Saving checkpoint at 60 epochs 2023/08/09 22:05:57 - mmengine - INFO - Epoch(val) [60][10/79] eta: 0:00:14 time: 0.195157 data_time: 0.013041 memory: 4563 2023/08/09 22:05:59 - mmengine - INFO - Epoch(val) [60][20/79] eta: 0:00:11 time: 0.194855 data_time: 0.012732 memory: 1634 2023/08/09 22:06:01 - mmengine - INFO - Epoch(val) [60][30/79] eta: 0:00:09 time: 0.198034 data_time: 0.012686 memory: 1634 2023/08/09 22:06:03 - mmengine - INFO - Epoch(val) [60][40/79] eta: 0:00:07 time: 0.197979 data_time: 0.012570 memory: 1634 2023/08/09 22:06:05 - mmengine - INFO - Epoch(val) [60][50/79] eta: 0:00:05 time: 0.200120 data_time: 0.012804 memory: 1634 2023/08/09 22:06:07 - mmengine - INFO - Epoch(val) [60][60/79] eta: 0:00:03 time: 0.197482 data_time: 0.010737 memory: 1634 2023/08/09 22:06:09 - mmengine - INFO - Epoch(val) [60][70/79] eta: 0:00:01 time: 0.197721 data_time: 0.010836 memory: 1634 2023/08/09 22:06:11 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 22:06:11 - mmengine - INFO - Evaluating AUC... 2023/08/09 22:06:11 - mmengine - INFO - Evaluating EPE... 2023/08/09 22:06:11 - mmengine - INFO - Epoch(val) [60][79/79] PCK: 0.973430 AUC: 0.749839 EPE: 9.511454 data_time: 0.011968 time: 0.195622 2023/08/09 22:06:11 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_40.pth is removed 2023/08/09 22:06:13 - mmengine - INFO - The best checkpoint with 0.7498 AUC at 60 epoch is saved to best_AUC_epoch_60.pth. 2023/08/09 22:06:21 - mmengine - INFO - Epoch(train) [61][ 10/327] lr: 5.000000e-04 eta: 4:47:11 time: 0.352502 data_time: 0.035737 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.898239 2023/08/09 22:06:24 - mmengine - INFO - Epoch(train) [61][ 20/327] lr: 5.000000e-04 eta: 4:47:07 time: 0.349669 data_time: 0.035634 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.912869 2023/08/09 22:06:28 - mmengine - INFO - Epoch(train) [61][ 30/327] lr: 5.000000e-04 eta: 4:47:03 time: 0.344950 data_time: 0.035230 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.839696 2023/08/09 22:06:31 - mmengine - INFO - Epoch(train) [61][ 40/327] lr: 5.000000e-04 eta: 4:46:59 time: 0.341060 data_time: 0.034773 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.857372 2023/08/09 22:06:35 - mmengine - INFO - Epoch(train) [61][ 50/327] lr: 5.000000e-04 eta: 4:46:56 time: 0.345487 data_time: 0.035336 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.869892 2023/08/09 22:06:38 - mmengine - INFO - Epoch(train) [61][ 60/327] lr: 5.000000e-04 eta: 4:46:53 time: 0.342473 data_time: 0.031273 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.936508 2023/08/09 22:06:41 - mmengine - INFO - Epoch(train) [61][ 70/327] lr: 5.000000e-04 eta: 4:46:49 time: 0.343260 data_time: 0.031516 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.829167 2023/08/09 22:06:45 - mmengine - INFO - Epoch(train) [61][ 80/327] lr: 5.000000e-04 eta: 4:46:45 time: 0.345291 data_time: 0.032197 memory: 4563 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.904187 2023/08/09 22:06:48 - mmengine - INFO - Epoch(train) [61][ 90/327] lr: 5.000000e-04 eta: 4:46:41 time: 0.345354 data_time: 0.032969 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.882471 2023/08/09 22:06:52 - mmengine - INFO - Epoch(train) [61][100/327] lr: 5.000000e-04 eta: 4:46:37 time: 0.340565 data_time: 0.033317 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.852957 2023/08/09 22:06:55 - mmengine - INFO - Epoch(train) [61][110/327] lr: 5.000000e-04 eta: 4:46:33 time: 0.337420 data_time: 0.033508 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.872354 2023/08/09 22:06:58 - mmengine - INFO - Epoch(train) [61][120/327] lr: 5.000000e-04 eta: 4:46:29 time: 0.337436 data_time: 0.033501 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.884332 2023/08/09 22:07:02 - mmengine - INFO - Epoch(train) [61][130/327] lr: 5.000000e-04 eta: 4:46:26 time: 0.336156 data_time: 0.032952 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.745330 2023/08/09 22:07:06 - mmengine - INFO - Epoch(train) [61][140/327] lr: 5.000000e-04 eta: 4:46:23 time: 0.345842 data_time: 0.036113 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.818280 2023/08/09 22:07:09 - mmengine - INFO - Epoch(train) [61][150/327] lr: 5.000000e-04 eta: 4:46:19 time: 0.350257 data_time: 0.035535 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.876836 2023/08/09 22:07:12 - mmengine - INFO - Epoch(train) [61][160/327] lr: 5.000000e-04 eta: 4:46:16 time: 0.350100 data_time: 0.034769 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.873636 2023/08/09 22:07:16 - mmengine - INFO - Epoch(train) [61][170/327] lr: 5.000000e-04 eta: 4:46:12 time: 0.352301 data_time: 0.035764 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.900902 2023/08/09 22:07:19 - mmengine - INFO - Epoch(train) [61][180/327] lr: 5.000000e-04 eta: 4:46:08 time: 0.351777 data_time: 0.036532 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.886122 2023/08/09 22:07:23 - mmengine - INFO - Epoch(train) [61][190/327] lr: 5.000000e-04 eta: 4:46:04 time: 0.343942 data_time: 0.033678 memory: 4563 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.861262 2023/08/09 22:07:26 - mmengine - INFO - Epoch(train) [61][200/327] lr: 5.000000e-04 eta: 4:46:01 time: 0.340437 data_time: 0.033587 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.814302 2023/08/09 22:07:30 - mmengine - INFO - Epoch(train) [61][210/327] lr: 5.000000e-04 eta: 4:45:57 time: 0.342565 data_time: 0.033755 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.913998 2023/08/09 22:07:33 - mmengine - INFO - Epoch(train) [61][220/327] lr: 5.000000e-04 eta: 4:45:53 time: 0.342226 data_time: 0.033175 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.876343 2023/08/09 22:07:36 - mmengine - INFO - Epoch(train) [61][230/327] lr: 5.000000e-04 eta: 4:45:50 time: 0.343183 data_time: 0.032512 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.829274 2023/08/09 22:07:40 - mmengine - INFO - Epoch(train) [61][240/327] lr: 5.000000e-04 eta: 4:45:46 time: 0.341308 data_time: 0.031606 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.896623 2023/08/09 22:07:43 - mmengine - INFO - Epoch(train) [61][250/327] lr: 5.000000e-04 eta: 4:45:42 time: 0.340772 data_time: 0.031473 memory: 4563 loss: 0.000754 loss_kpt: 0.000754 acc_pose: 0.838846 2023/08/09 22:07:47 - mmengine - INFO - Epoch(train) [61][260/327] lr: 5.000000e-04 eta: 4:45:38 time: 0.338476 data_time: 0.031448 memory: 4563 loss: 0.000752 loss_kpt: 0.000752 acc_pose: 0.946973 2023/08/09 22:07:50 - mmengine - INFO - Epoch(train) [61][270/327] lr: 5.000000e-04 eta: 4:45:35 time: 0.341933 data_time: 0.031199 memory: 4563 loss: 0.000761 loss_kpt: 0.000761 acc_pose: 0.865517 2023/08/09 22:07:54 - mmengine - INFO - Epoch(train) [61][280/327] lr: 5.000000e-04 eta: 4:45:31 time: 0.343096 data_time: 0.031270 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.949981 2023/08/09 22:07:57 - mmengine - INFO - Epoch(train) [61][290/327] lr: 5.000000e-04 eta: 4:45:27 time: 0.344247 data_time: 0.031259 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.866315 2023/08/09 22:08:00 - mmengine - INFO - Epoch(train) [61][300/327] lr: 5.000000e-04 eta: 4:45:23 time: 0.344999 data_time: 0.032005 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.887500 2023/08/09 22:08:04 - mmengine - INFO - Epoch(train) [61][310/327] lr: 5.000000e-04 eta: 4:45:20 time: 0.347518 data_time: 0.035014 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.918011 2023/08/09 22:08:07 - mmengine - INFO - Epoch(train) [61][320/327] lr: 5.000000e-04 eta: 4:45:16 time: 0.343823 data_time: 0.034495 memory: 4563 loss: 0.000758 loss_kpt: 0.000758 acc_pose: 0.867704 2023/08/09 22:08:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:08:13 - mmengine - INFO - Epoch(train) [62][ 10/327] lr: 5.000000e-04 eta: 4:45:10 time: 0.343813 data_time: 0.037556 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.892886 2023/08/09 22:08:17 - mmengine - INFO - Epoch(train) [62][ 20/327] lr: 5.000000e-04 eta: 4:45:06 time: 0.343247 data_time: 0.037153 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.841667 2023/08/09 22:08:20 - mmengine - INFO - Epoch(train) [62][ 30/327] lr: 5.000000e-04 eta: 4:45:02 time: 0.341306 data_time: 0.033527 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.830142 2023/08/09 22:08:23 - mmengine - INFO - Epoch(train) [62][ 40/327] lr: 5.000000e-04 eta: 4:44:58 time: 0.339369 data_time: 0.034070 memory: 4563 loss: 0.000763 loss_kpt: 0.000763 acc_pose: 0.915462 2023/08/09 22:08:27 - mmengine - INFO - Epoch(train) [62][ 50/327] lr: 5.000000e-04 eta: 4:44:54 time: 0.341223 data_time: 0.034588 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.889232 2023/08/09 22:08:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:08:30 - mmengine - INFO - Epoch(train) [62][ 60/327] lr: 5.000000e-04 eta: 4:44:51 time: 0.336891 data_time: 0.030573 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.902976 2023/08/09 22:08:33 - mmengine - INFO - Epoch(train) [62][ 70/327] lr: 5.000000e-04 eta: 4:44:47 time: 0.335485 data_time: 0.030316 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.858086 2023/08/09 22:08:37 - mmengine - INFO - Epoch(train) [62][ 80/327] lr: 5.000000e-04 eta: 4:44:43 time: 0.335131 data_time: 0.030708 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.863426 2023/08/09 22:08:40 - mmengine - INFO - Epoch(train) [62][ 90/327] lr: 5.000000e-04 eta: 4:44:39 time: 0.335223 data_time: 0.030822 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.879167 2023/08/09 22:08:44 - mmengine - INFO - Epoch(train) [62][100/327] lr: 5.000000e-04 eta: 4:44:35 time: 0.335943 data_time: 0.030818 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.916055 2023/08/09 22:08:47 - mmengine - INFO - Epoch(train) [62][110/327] lr: 5.000000e-04 eta: 4:44:31 time: 0.336102 data_time: 0.031037 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.869223 2023/08/09 22:08:50 - mmengine - INFO - Epoch(train) [62][120/327] lr: 5.000000e-04 eta: 4:44:28 time: 0.340225 data_time: 0.030980 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.846653 2023/08/09 22:08:54 - mmengine - INFO - Epoch(train) [62][130/327] lr: 5.000000e-04 eta: 4:44:24 time: 0.339055 data_time: 0.030538 memory: 4563 loss: 0.000750 loss_kpt: 0.000750 acc_pose: 0.853633 2023/08/09 22:08:57 - mmengine - INFO - Epoch(train) [62][140/327] lr: 5.000000e-04 eta: 4:44:20 time: 0.340735 data_time: 0.029824 memory: 4563 loss: 0.000769 loss_kpt: 0.000769 acc_pose: 0.892720 2023/08/09 22:09:01 - mmengine - INFO - Epoch(train) [62][150/327] lr: 5.000000e-04 eta: 4:44:16 time: 0.340313 data_time: 0.029799 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.948543 2023/08/09 22:09:04 - mmengine - INFO - Epoch(train) [62][160/327] lr: 5.000000e-04 eta: 4:44:13 time: 0.344070 data_time: 0.029763 memory: 4563 loss: 0.000757 loss_kpt: 0.000757 acc_pose: 0.795513 2023/08/09 22:09:07 - mmengine - INFO - Epoch(train) [62][170/327] lr: 5.000000e-04 eta: 4:44:09 time: 0.342018 data_time: 0.030247 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.913732 2023/08/09 22:09:11 - mmengine - INFO - Epoch(train) [62][180/327] lr: 5.000000e-04 eta: 4:44:05 time: 0.344284 data_time: 0.031022 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.908705 2023/08/09 22:09:14 - mmengine - INFO - Epoch(train) [62][190/327] lr: 5.000000e-04 eta: 4:44:01 time: 0.342666 data_time: 0.032144 memory: 4563 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.839307 2023/08/09 22:09:18 - mmengine - INFO - Epoch(train) [62][200/327] lr: 5.000000e-04 eta: 4:43:58 time: 0.343117 data_time: 0.033074 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.932784 2023/08/09 22:09:21 - mmengine - INFO - Epoch(train) [62][210/327] lr: 5.000000e-04 eta: 4:43:54 time: 0.340882 data_time: 0.033895 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.858727 2023/08/09 22:09:25 - mmengine - INFO - Epoch(train) [62][220/327] lr: 5.000000e-04 eta: 4:43:51 time: 0.348780 data_time: 0.033898 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.889869 2023/08/09 22:09:28 - mmengine - INFO - Epoch(train) [62][230/327] lr: 5.000000e-04 eta: 4:43:47 time: 0.348881 data_time: 0.033422 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.836732 2023/08/09 22:09:32 - mmengine - INFO - Epoch(train) [62][240/327] lr: 5.000000e-04 eta: 4:43:43 time: 0.347745 data_time: 0.032717 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.970963 2023/08/09 22:09:35 - mmengine - INFO - Epoch(train) [62][250/327] lr: 5.000000e-04 eta: 4:43:40 time: 0.349533 data_time: 0.032032 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.837001 2023/08/09 22:09:38 - mmengine - INFO - Epoch(train) [62][260/327] lr: 5.000000e-04 eta: 4:43:36 time: 0.346445 data_time: 0.030974 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.915573 2023/08/09 22:09:42 - mmengine - INFO - Epoch(train) [62][270/327] lr: 5.000000e-04 eta: 4:43:32 time: 0.336678 data_time: 0.030498 memory: 4563 loss: 0.000759 loss_kpt: 0.000759 acc_pose: 0.909677 2023/08/09 22:09:45 - mmengine - INFO - Epoch(train) [62][280/327] lr: 5.000000e-04 eta: 4:43:28 time: 0.337837 data_time: 0.033275 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.864943 2023/08/09 22:09:49 - mmengine - INFO - Epoch(train) [62][290/327] lr: 5.000000e-04 eta: 4:43:24 time: 0.338359 data_time: 0.033129 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.873508 2023/08/09 22:09:52 - mmengine - INFO - Epoch(train) [62][300/327] lr: 5.000000e-04 eta: 4:43:21 time: 0.337215 data_time: 0.032988 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.843596 2023/08/09 22:09:55 - mmengine - INFO - Epoch(train) [62][310/327] lr: 5.000000e-04 eta: 4:43:17 time: 0.337975 data_time: 0.033104 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.867394 2023/08/09 22:09:59 - mmengine - INFO - Epoch(train) [62][320/327] lr: 5.000000e-04 eta: 4:43:13 time: 0.342099 data_time: 0.033576 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.820869 2023/08/09 22:10:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:10:05 - mmengine - INFO - Epoch(train) [63][ 10/327] lr: 5.000000e-04 eta: 4:43:07 time: 0.341952 data_time: 0.034372 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.854269 2023/08/09 22:10:08 - mmengine - INFO - Epoch(train) [63][ 20/327] lr: 5.000000e-04 eta: 4:43:03 time: 0.341599 data_time: 0.034210 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.872126 2023/08/09 22:10:12 - mmengine - INFO - Epoch(train) [63][ 30/327] lr: 5.000000e-04 eta: 4:42:59 time: 0.342478 data_time: 0.034625 memory: 4563 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.907184 2023/08/09 22:10:15 - mmengine - INFO - Epoch(train) [63][ 40/327] lr: 5.000000e-04 eta: 4:42:56 time: 0.340009 data_time: 0.034273 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.858949 2023/08/09 22:10:18 - mmengine - INFO - Epoch(train) [63][ 50/327] lr: 5.000000e-04 eta: 4:42:52 time: 0.348034 data_time: 0.035100 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.945866 2023/08/09 22:10:22 - mmengine - INFO - Epoch(train) [63][ 60/327] lr: 5.000000e-04 eta: 4:42:49 time: 0.345465 data_time: 0.030859 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.906281 2023/08/09 22:10:25 - mmengine - INFO - Epoch(train) [63][ 70/327] lr: 5.000000e-04 eta: 4:42:45 time: 0.344998 data_time: 0.030769 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.838765 2023/08/09 22:10:29 - mmengine - INFO - Epoch(train) [63][ 80/327] lr: 5.000000e-04 eta: 4:42:41 time: 0.343903 data_time: 0.030332 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.874202 2023/08/09 22:10:32 - mmengine - INFO - Epoch(train) [63][ 90/327] lr: 5.000000e-04 eta: 4:42:37 time: 0.344557 data_time: 0.030555 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.899495 2023/08/09 22:10:36 - mmengine - INFO - Epoch(train) [63][100/327] lr: 5.000000e-04 eta: 4:42:34 time: 0.344148 data_time: 0.030884 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.905747 2023/08/09 22:10:39 - mmengine - INFO - Epoch(train) [63][110/327] lr: 5.000000e-04 eta: 4:42:30 time: 0.342927 data_time: 0.030917 memory: 4563 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.846566 2023/08/09 22:10:43 - mmengine - INFO - Epoch(train) [63][120/327] lr: 5.000000e-04 eta: 4:42:26 time: 0.344309 data_time: 0.031127 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.886997 2023/08/09 22:10:46 - mmengine - INFO - Epoch(train) [63][130/327] lr: 5.000000e-04 eta: 4:42:23 time: 0.349242 data_time: 0.031725 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.914019 2023/08/09 22:10:50 - mmengine - INFO - Epoch(train) [63][140/327] lr: 5.000000e-04 eta: 4:42:19 time: 0.348783 data_time: 0.032305 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.840520 2023/08/09 22:10:53 - mmengine - INFO - Epoch(train) [63][150/327] lr: 5.000000e-04 eta: 4:42:16 time: 0.349393 data_time: 0.031962 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.905439 2023/08/09 22:10:57 - mmengine - INFO - Epoch(train) [63][160/327] lr: 5.000000e-04 eta: 4:42:12 time: 0.349286 data_time: 0.031678 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.926951 2023/08/09 22:11:00 - mmengine - INFO - Epoch(train) [63][170/327] lr: 5.000000e-04 eta: 4:42:09 time: 0.348527 data_time: 0.031550 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.917218 2023/08/09 22:11:04 - mmengine - INFO - Epoch(train) [63][180/327] lr: 5.000000e-04 eta: 4:42:05 time: 0.347948 data_time: 0.031042 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.870968 2023/08/09 22:11:07 - mmengine - INFO - Epoch(train) [63][190/327] lr: 5.000000e-04 eta: 4:42:02 time: 0.352847 data_time: 0.030750 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.872619 2023/08/09 22:11:11 - mmengine - INFO - Epoch(train) [63][200/327] lr: 5.000000e-04 eta: 4:41:59 time: 0.356657 data_time: 0.030936 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.910128 2023/08/09 22:11:14 - mmengine - INFO - Epoch(train) [63][210/327] lr: 5.000000e-04 eta: 4:41:55 time: 0.356390 data_time: 0.030969 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.849926 2023/08/09 22:11:18 - mmengine - INFO - Epoch(train) [63][220/327] lr: 5.000000e-04 eta: 4:41:52 time: 0.359370 data_time: 0.030895 memory: 4563 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.820300 2023/08/09 22:11:21 - mmengine - INFO - Epoch(train) [63][230/327] lr: 5.000000e-04 eta: 4:41:48 time: 0.355833 data_time: 0.030927 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.891667 2023/08/09 22:11:25 - mmengine - INFO - Epoch(train) [63][240/327] lr: 5.000000e-04 eta: 4:41:45 time: 0.350471 data_time: 0.030662 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.869766 2023/08/09 22:11:28 - mmengine - INFO - Epoch(train) [63][250/327] lr: 5.000000e-04 eta: 4:41:41 time: 0.346259 data_time: 0.030532 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.941092 2023/08/09 22:11:32 - mmengine - INFO - Epoch(train) [63][260/327] lr: 5.000000e-04 eta: 4:41:38 time: 0.349815 data_time: 0.031140 memory: 4563 loss: 0.000753 loss_kpt: 0.000753 acc_pose: 0.870789 2023/08/09 22:11:35 - mmengine - INFO - Epoch(train) [63][270/327] lr: 5.000000e-04 eta: 4:41:34 time: 0.350435 data_time: 0.031657 memory: 4563 loss: 0.000766 loss_kpt: 0.000766 acc_pose: 0.784946 2023/08/09 22:11:39 - mmengine - INFO - Epoch(train) [63][280/327] lr: 5.000000e-04 eta: 4:41:31 time: 0.352409 data_time: 0.032380 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.853900 2023/08/09 22:11:42 - mmengine - INFO - Epoch(train) [63][290/327] lr: 5.000000e-04 eta: 4:41:27 time: 0.353367 data_time: 0.032959 memory: 4563 loss: 0.000795 loss_kpt: 0.000795 acc_pose: 0.883416 2023/08/09 22:11:46 - mmengine - INFO - Epoch(train) [63][300/327] lr: 5.000000e-04 eta: 4:41:24 time: 0.351836 data_time: 0.033445 memory: 4563 loss: 0.000796 loss_kpt: 0.000796 acc_pose: 0.856410 2023/08/09 22:11:49 - mmengine - INFO - Epoch(train) [63][310/327] lr: 5.000000e-04 eta: 4:41:20 time: 0.351203 data_time: 0.033130 memory: 4563 loss: 0.000776 loss_kpt: 0.000776 acc_pose: 0.842365 2023/08/09 22:11:53 - mmengine - INFO - Epoch(train) [63][320/327] lr: 5.000000e-04 eta: 4:41:17 time: 0.350047 data_time: 0.033467 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.859620 2023/08/09 22:11:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:11:59 - mmengine - INFO - Epoch(train) [64][ 10/327] lr: 5.000000e-04 eta: 4:41:11 time: 0.353486 data_time: 0.035599 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.877313 2023/08/09 22:12:03 - mmengine - INFO - Epoch(train) [64][ 20/327] lr: 5.000000e-04 eta: 4:41:08 time: 0.356499 data_time: 0.035169 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.896552 2023/08/09 22:12:06 - mmengine - INFO - Epoch(train) [64][ 30/327] lr: 5.000000e-04 eta: 4:41:04 time: 0.353742 data_time: 0.035044 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.939655 2023/08/09 22:12:10 - mmengine - INFO - Epoch(train) [64][ 40/327] lr: 5.000000e-04 eta: 4:41:00 time: 0.352759 data_time: 0.034430 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.918110 2023/08/09 22:12:13 - mmengine - INFO - Epoch(train) [64][ 50/327] lr: 5.000000e-04 eta: 4:40:57 time: 0.354450 data_time: 0.034785 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.886026 2023/08/09 22:12:17 - mmengine - INFO - Epoch(train) [64][ 60/327] lr: 5.000000e-04 eta: 4:40:53 time: 0.349603 data_time: 0.031253 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.867153 2023/08/09 22:12:20 - mmengine - INFO - Epoch(train) [64][ 70/327] lr: 5.000000e-04 eta: 4:40:50 time: 0.346107 data_time: 0.031196 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.840712 2023/08/09 22:12:23 - mmengine - INFO - Epoch(train) [64][ 80/327] lr: 5.000000e-04 eta: 4:40:46 time: 0.346161 data_time: 0.031011 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.918817 2023/08/09 22:12:27 - mmengine - INFO - Epoch(train) [64][ 90/327] lr: 5.000000e-04 eta: 4:40:43 time: 0.353613 data_time: 0.030919 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.809311 2023/08/09 22:12:31 - mmengine - INFO - Epoch(train) [64][100/327] lr: 5.000000e-04 eta: 4:40:41 time: 0.362132 data_time: 0.031020 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.873471 2023/08/09 22:12:35 - mmengine - INFO - Epoch(train) [64][110/327] lr: 5.000000e-04 eta: 4:40:37 time: 0.365478 data_time: 0.030855 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.895628 2023/08/09 22:12:38 - mmengine - INFO - Epoch(train) [64][120/327] lr: 5.000000e-04 eta: 4:40:34 time: 0.367143 data_time: 0.030999 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.926745 2023/08/09 22:12:42 - mmengine - INFO - Epoch(train) [64][130/327] lr: 5.000000e-04 eta: 4:40:31 time: 0.372621 data_time: 0.031320 memory: 4563 loss: 0.000742 loss_kpt: 0.000742 acc_pose: 0.875422 2023/08/09 22:12:46 - mmengine - INFO - Epoch(train) [64][140/327] lr: 5.000000e-04 eta: 4:40:27 time: 0.366098 data_time: 0.031843 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.838706 2023/08/09 22:12:49 - mmengine - INFO - Epoch(train) [64][150/327] lr: 5.000000e-04 eta: 4:40:24 time: 0.357533 data_time: 0.031983 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.865899 2023/08/09 22:12:53 - mmengine - INFO - Epoch(train) [64][160/327] lr: 5.000000e-04 eta: 4:40:20 time: 0.354223 data_time: 0.032051 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.840847 2023/08/09 22:12:56 - mmengine - INFO - Epoch(train) [64][170/327] lr: 5.000000e-04 eta: 4:40:17 time: 0.353400 data_time: 0.031656 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.840726 2023/08/09 22:13:00 - mmengine - INFO - Epoch(train) [64][180/327] lr: 5.000000e-04 eta: 4:40:13 time: 0.347894 data_time: 0.030997 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.829208 2023/08/09 22:13:03 - mmengine - INFO - Epoch(train) [64][190/327] lr: 5.000000e-04 eta: 4:40:09 time: 0.347623 data_time: 0.030776 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.924101 2023/08/09 22:13:07 - mmengine - INFO - Epoch(train) [64][200/327] lr: 5.000000e-04 eta: 4:40:06 time: 0.351403 data_time: 0.034246 memory: 4563 loss: 0.000760 loss_kpt: 0.000760 acc_pose: 0.889286 2023/08/09 22:13:10 - mmengine - INFO - Epoch(train) [64][210/327] lr: 5.000000e-04 eta: 4:40:03 time: 0.352362 data_time: 0.034381 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.895649 2023/08/09 22:13:14 - mmengine - INFO - Epoch(train) [64][220/327] lr: 5.000000e-04 eta: 4:39:59 time: 0.351058 data_time: 0.034540 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.944196 2023/08/09 22:13:17 - mmengine - INFO - Epoch(train) [64][230/327] lr: 5.000000e-04 eta: 4:39:55 time: 0.349861 data_time: 0.034568 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.924231 2023/08/09 22:13:20 - mmengine - INFO - Epoch(train) [64][240/327] lr: 5.000000e-04 eta: 4:39:52 time: 0.348071 data_time: 0.034247 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.930199 2023/08/09 22:13:24 - mmengine - INFO - Epoch(train) [64][250/327] lr: 5.000000e-04 eta: 4:39:48 time: 0.343729 data_time: 0.030577 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.918887 2023/08/09 22:13:27 - mmengine - INFO - Epoch(train) [64][260/327] lr: 5.000000e-04 eta: 4:39:44 time: 0.341617 data_time: 0.030452 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.866897 2023/08/09 22:13:31 - mmengine - INFO - Epoch(train) [64][270/327] lr: 5.000000e-04 eta: 4:39:40 time: 0.341446 data_time: 0.030305 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.962889 2023/08/09 22:13:34 - mmengine - INFO - Epoch(train) [64][280/327] lr: 5.000000e-04 eta: 4:39:38 time: 0.348582 data_time: 0.030683 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.885468 2023/08/09 22:13:38 - mmengine - INFO - Epoch(train) [64][290/327] lr: 5.000000e-04 eta: 4:39:34 time: 0.349136 data_time: 0.030827 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.817492 2023/08/09 22:13:41 - mmengine - INFO - Epoch(train) [64][300/327] lr: 5.000000e-04 eta: 4:39:30 time: 0.349315 data_time: 0.030731 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.885565 2023/08/09 22:13:45 - mmengine - INFO - Epoch(train) [64][310/327] lr: 5.000000e-04 eta: 4:39:26 time: 0.347690 data_time: 0.030446 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.815172 2023/08/09 22:13:48 - mmengine - INFO - Epoch(train) [64][320/327] lr: 5.000000e-04 eta: 4:39:22 time: 0.347182 data_time: 0.030476 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.937856 2023/08/09 22:13:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:13:54 - mmengine - INFO - Epoch(train) [65][ 10/327] lr: 5.000000e-04 eta: 4:39:17 time: 0.344136 data_time: 0.033632 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.898851 2023/08/09 22:13:58 - mmengine - INFO - Epoch(train) [65][ 20/327] lr: 5.000000e-04 eta: 4:39:13 time: 0.346693 data_time: 0.033820 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.897289 2023/08/09 22:14:01 - mmengine - INFO - Epoch(train) [65][ 30/327] lr: 5.000000e-04 eta: 4:39:10 time: 0.349313 data_time: 0.034229 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.878175 2023/08/09 22:14:05 - mmengine - INFO - Epoch(train) [65][ 40/327] lr: 5.000000e-04 eta: 4:39:06 time: 0.353427 data_time: 0.037386 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.920213 2023/08/09 22:14:08 - mmengine - INFO - Epoch(train) [65][ 50/327] lr: 5.000000e-04 eta: 4:39:03 time: 0.357618 data_time: 0.037773 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.880292 2023/08/09 22:14:12 - mmengine - INFO - Epoch(train) [65][ 60/327] lr: 5.000000e-04 eta: 4:39:00 time: 0.360978 data_time: 0.034556 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.899802 2023/08/09 22:14:16 - mmengine - INFO - Epoch(train) [65][ 70/327] lr: 5.000000e-04 eta: 4:38:57 time: 0.362298 data_time: 0.034842 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.923772 2023/08/09 22:14:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:14:19 - mmengine - INFO - Epoch(train) [65][ 80/327] lr: 5.000000e-04 eta: 4:38:53 time: 0.362288 data_time: 0.035447 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.888485 2023/08/09 22:14:23 - mmengine - INFO - Epoch(train) [65][ 90/327] lr: 5.000000e-04 eta: 4:38:50 time: 0.361648 data_time: 0.032728 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.920319 2023/08/09 22:14:27 - mmengine - INFO - Epoch(train) [65][100/327] lr: 5.000000e-04 eta: 4:38:47 time: 0.367920 data_time: 0.032704 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.982120 2023/08/09 22:14:30 - mmengine - INFO - Epoch(train) [65][110/327] lr: 5.000000e-04 eta: 4:38:44 time: 0.366961 data_time: 0.032200 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.924138 2023/08/09 22:14:34 - mmengine - INFO - Epoch(train) [65][120/327] lr: 5.000000e-04 eta: 4:38:42 time: 0.371800 data_time: 0.032601 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.901860 2023/08/09 22:14:38 - mmengine - INFO - Epoch(train) [65][130/327] lr: 5.000000e-04 eta: 4:38:38 time: 0.374101 data_time: 0.031817 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.895005 2023/08/09 22:14:42 - mmengine - INFO - Epoch(train) [65][140/327] lr: 5.000000e-04 eta: 4:38:35 time: 0.373883 data_time: 0.032009 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.880972 2023/08/09 22:14:45 - mmengine - INFO - Epoch(train) [65][150/327] lr: 5.000000e-04 eta: 4:38:32 time: 0.372268 data_time: 0.031978 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.906035 2023/08/09 22:14:49 - mmengine - INFO - Epoch(train) [65][160/327] lr: 5.000000e-04 eta: 4:38:29 time: 0.371892 data_time: 0.032604 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.868548 2023/08/09 22:14:53 - mmengine - INFO - Epoch(train) [65][170/327] lr: 5.000000e-04 eta: 4:38:26 time: 0.365771 data_time: 0.032327 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.864909 2023/08/09 22:14:56 - mmengine - INFO - Epoch(train) [65][180/327] lr: 5.000000e-04 eta: 4:38:23 time: 0.365763 data_time: 0.032542 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.822650 2023/08/09 22:15:00 - mmengine - INFO - Epoch(train) [65][190/327] lr: 5.000000e-04 eta: 4:38:19 time: 0.365228 data_time: 0.032280 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.812717 2023/08/09 22:15:03 - mmengine - INFO - Epoch(train) [65][200/327] lr: 5.000000e-04 eta: 4:38:16 time: 0.360949 data_time: 0.032686 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.885776 2023/08/09 22:15:07 - mmengine - INFO - Epoch(train) [65][210/327] lr: 5.000000e-04 eta: 4:38:12 time: 0.356013 data_time: 0.032403 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.818817 2023/08/09 22:15:10 - mmengine - INFO - Epoch(train) [65][220/327] lr: 5.000000e-04 eta: 4:38:09 time: 0.355756 data_time: 0.032675 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.836465 2023/08/09 22:15:14 - mmengine - INFO - Epoch(train) [65][230/327] lr: 5.000000e-04 eta: 4:38:05 time: 0.354918 data_time: 0.033316 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.895833 2023/08/09 22:15:18 - mmengine - INFO - Epoch(train) [65][240/327] lr: 5.000000e-04 eta: 4:38:02 time: 0.356449 data_time: 0.033702 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.879727 2023/08/09 22:15:21 - mmengine - INFO - Epoch(train) [65][250/327] lr: 5.000000e-04 eta: 4:37:59 time: 0.362719 data_time: 0.034932 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.912676 2023/08/09 22:15:25 - mmengine - INFO - Epoch(train) [65][260/327] lr: 5.000000e-04 eta: 4:37:57 time: 0.368667 data_time: 0.035828 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.900178 2023/08/09 22:15:29 - mmengine - INFO - Epoch(train) [65][270/327] lr: 5.000000e-04 eta: 4:37:54 time: 0.373591 data_time: 0.036700 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.856349 2023/08/09 22:15:33 - mmengine - INFO - Epoch(train) [65][280/327] lr: 5.000000e-04 eta: 4:37:51 time: 0.378746 data_time: 0.036307 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.817786 2023/08/09 22:15:37 - mmengine - INFO - Epoch(train) [65][290/327] lr: 5.000000e-04 eta: 4:37:49 time: 0.390035 data_time: 0.036691 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.889286 2023/08/09 22:15:41 - mmengine - INFO - Epoch(train) [65][300/327] lr: 5.000000e-04 eta: 4:37:46 time: 0.390062 data_time: 0.035046 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.923563 2023/08/09 22:15:45 - mmengine - INFO - Epoch(train) [65][310/327] lr: 5.000000e-04 eta: 4:37:43 time: 0.385590 data_time: 0.033650 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.844318 2023/08/09 22:15:48 - mmengine - INFO - Epoch(train) [65][320/327] lr: 5.000000e-04 eta: 4:37:39 time: 0.378225 data_time: 0.032119 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.908776 2023/08/09 22:15:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:15:54 - mmengine - INFO - Epoch(train) [66][ 10/327] lr: 5.000000e-04 eta: 4:37:34 time: 0.369919 data_time: 0.037435 memory: 4563 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.937432 2023/08/09 22:15:58 - mmengine - INFO - Epoch(train) [66][ 20/327] lr: 5.000000e-04 eta: 4:37:31 time: 0.362350 data_time: 0.037351 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.885499 2023/08/09 22:16:01 - mmengine - INFO - Epoch(train) [66][ 30/327] lr: 5.000000e-04 eta: 4:37:27 time: 0.355670 data_time: 0.037626 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.892972 2023/08/09 22:16:05 - mmengine - INFO - Epoch(train) [66][ 40/327] lr: 5.000000e-04 eta: 4:37:23 time: 0.353818 data_time: 0.037612 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.950484 2023/08/09 22:16:08 - mmengine - INFO - Epoch(train) [66][ 50/327] lr: 5.000000e-04 eta: 4:37:19 time: 0.350726 data_time: 0.035146 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.914228 2023/08/09 22:16:11 - mmengine - INFO - Epoch(train) [66][ 60/327] lr: 5.000000e-04 eta: 4:37:15 time: 0.341065 data_time: 0.030869 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.897147 2023/08/09 22:16:15 - mmengine - INFO - Epoch(train) [66][ 70/327] lr: 5.000000e-04 eta: 4:37:12 time: 0.337182 data_time: 0.030768 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.948563 2023/08/09 22:16:18 - mmengine - INFO - Epoch(train) [66][ 80/327] lr: 5.000000e-04 eta: 4:37:08 time: 0.339087 data_time: 0.031264 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.853563 2023/08/09 22:16:22 - mmengine - INFO - Epoch(train) [66][ 90/327] lr: 5.000000e-04 eta: 4:37:04 time: 0.340121 data_time: 0.031529 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.844246 2023/08/09 22:16:25 - mmengine - INFO - Epoch(train) [66][100/327] lr: 5.000000e-04 eta: 4:37:01 time: 0.343652 data_time: 0.032209 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.894351 2023/08/09 22:16:29 - mmengine - INFO - Epoch(train) [66][110/327] lr: 5.000000e-04 eta: 4:36:57 time: 0.344992 data_time: 0.032979 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.903427 2023/08/09 22:16:32 - mmengine - INFO - Epoch(train) [66][120/327] lr: 5.000000e-04 eta: 4:36:53 time: 0.344932 data_time: 0.032767 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.926075 2023/08/09 22:16:36 - mmengine - INFO - Epoch(train) [66][130/327] lr: 5.000000e-04 eta: 4:36:50 time: 0.344360 data_time: 0.032196 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.823431 2023/08/09 22:16:39 - mmengine - INFO - Epoch(train) [66][140/327] lr: 5.000000e-04 eta: 4:36:46 time: 0.346284 data_time: 0.031971 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.901075 2023/08/09 22:16:43 - mmengine - INFO - Epoch(train) [66][150/327] lr: 5.000000e-04 eta: 4:36:42 time: 0.343765 data_time: 0.031484 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.873835 2023/08/09 22:16:46 - mmengine - INFO - Epoch(train) [66][160/327] lr: 5.000000e-04 eta: 4:36:39 time: 0.343287 data_time: 0.031381 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.949892 2023/08/09 22:16:50 - mmengine - INFO - Epoch(train) [66][170/327] lr: 5.000000e-04 eta: 4:36:35 time: 0.348223 data_time: 0.031765 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.856322 2023/08/09 22:16:53 - mmengine - INFO - Epoch(train) [66][180/327] lr: 5.000000e-04 eta: 4:36:32 time: 0.348421 data_time: 0.031802 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.893361 2023/08/09 22:16:56 - mmengine - INFO - Epoch(train) [66][190/327] lr: 5.000000e-04 eta: 4:36:28 time: 0.345025 data_time: 0.031854 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.866547 2023/08/09 22:17:00 - mmengine - INFO - Epoch(train) [66][200/327] lr: 5.000000e-04 eta: 4:36:24 time: 0.345352 data_time: 0.034644 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.896757 2023/08/09 22:17:03 - mmengine - INFO - Epoch(train) [66][210/327] lr: 5.000000e-04 eta: 4:36:21 time: 0.345892 data_time: 0.034216 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.870956 2023/08/09 22:17:07 - mmengine - INFO - Epoch(train) [66][220/327] lr: 5.000000e-04 eta: 4:36:17 time: 0.344215 data_time: 0.034667 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.903292 2023/08/09 22:17:10 - mmengine - INFO - Epoch(train) [66][230/327] lr: 5.000000e-04 eta: 4:36:13 time: 0.342335 data_time: 0.035054 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.856077 2023/08/09 22:17:14 - mmengine - INFO - Epoch(train) [66][240/327] lr: 5.000000e-04 eta: 4:36:10 time: 0.345246 data_time: 0.035498 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.901985 2023/08/09 22:17:17 - mmengine - INFO - Epoch(train) [66][250/327] lr: 5.000000e-04 eta: 4:36:06 time: 0.345472 data_time: 0.033003 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.883294 2023/08/09 22:17:20 - mmengine - INFO - Epoch(train) [66][260/327] lr: 5.000000e-04 eta: 4:36:02 time: 0.344190 data_time: 0.032739 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.870690 2023/08/09 22:17:24 - mmengine - INFO - Epoch(train) [66][270/327] lr: 5.000000e-04 eta: 4:35:58 time: 0.340761 data_time: 0.031875 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.849554 2023/08/09 22:17:27 - mmengine - INFO - Epoch(train) [66][280/327] lr: 5.000000e-04 eta: 4:35:55 time: 0.342087 data_time: 0.031331 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.841680 2023/08/09 22:17:31 - mmengine - INFO - Epoch(train) [66][290/327] lr: 5.000000e-04 eta: 4:35:51 time: 0.344852 data_time: 0.031974 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.898099 2023/08/09 22:17:34 - mmengine - INFO - Epoch(train) [66][300/327] lr: 5.000000e-04 eta: 4:35:48 time: 0.343280 data_time: 0.031842 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.907990 2023/08/09 22:17:38 - mmengine - INFO - Epoch(train) [66][310/327] lr: 5.000000e-04 eta: 4:35:44 time: 0.343881 data_time: 0.031994 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.865704 2023/08/09 22:17:41 - mmengine - INFO - Epoch(train) [66][320/327] lr: 5.000000e-04 eta: 4:35:40 time: 0.344599 data_time: 0.032017 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.883664 2023/08/09 22:17:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:17:47 - mmengine - INFO - Epoch(train) [67][ 10/327] lr: 5.000000e-04 eta: 4:35:34 time: 0.342247 data_time: 0.034770 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.915517 2023/08/09 22:17:50 - mmengine - INFO - Epoch(train) [67][ 20/327] lr: 5.000000e-04 eta: 4:35:30 time: 0.341884 data_time: 0.034109 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.926245 2023/08/09 22:17:54 - mmengine - INFO - Epoch(train) [67][ 30/327] lr: 5.000000e-04 eta: 4:35:26 time: 0.342247 data_time: 0.034033 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.937019 2023/08/09 22:17:57 - mmengine - INFO - Epoch(train) [67][ 40/327] lr: 5.000000e-04 eta: 4:35:23 time: 0.344285 data_time: 0.034368 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.865962 2023/08/09 22:18:01 - mmengine - INFO - Epoch(train) [67][ 50/327] lr: 5.000000e-04 eta: 4:35:19 time: 0.349525 data_time: 0.035075 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.844005 2023/08/09 22:18:04 - mmengine - INFO - Epoch(train) [67][ 60/327] lr: 5.000000e-04 eta: 4:35:16 time: 0.351387 data_time: 0.031351 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.926564 2023/08/09 22:18:08 - mmengine - INFO - Epoch(train) [67][ 70/327] lr: 5.000000e-04 eta: 4:35:13 time: 0.351325 data_time: 0.031242 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.925697 2023/08/09 22:18:12 - mmengine - INFO - Epoch(train) [67][ 80/327] lr: 5.000000e-04 eta: 4:35:09 time: 0.355908 data_time: 0.031355 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.870866 2023/08/09 22:18:15 - mmengine - INFO - Epoch(train) [67][ 90/327] lr: 5.000000e-04 eta: 4:35:06 time: 0.362777 data_time: 0.031469 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.809611 2023/08/09 22:18:19 - mmengine - INFO - Epoch(train) [67][100/327] lr: 5.000000e-04 eta: 4:35:03 time: 0.362045 data_time: 0.031425 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.852398 2023/08/09 22:18:23 - mmengine - INFO - Epoch(train) [67][110/327] lr: 5.000000e-04 eta: 4:35:00 time: 0.360736 data_time: 0.031825 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.880897 2023/08/09 22:18:26 - mmengine - INFO - Epoch(train) [67][120/327] lr: 5.000000e-04 eta: 4:34:56 time: 0.362938 data_time: 0.032035 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.824011 2023/08/09 22:18:30 - mmengine - INFO - Epoch(train) [67][130/327] lr: 5.000000e-04 eta: 4:34:53 time: 0.359806 data_time: 0.032370 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.864019 2023/08/09 22:18:33 - mmengine - INFO - Epoch(train) [67][140/327] lr: 5.000000e-04 eta: 4:34:49 time: 0.353954 data_time: 0.032517 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.861629 2023/08/09 22:18:37 - mmengine - INFO - Epoch(train) [67][150/327] lr: 5.000000e-04 eta: 4:34:46 time: 0.354281 data_time: 0.033220 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.922350 2023/08/09 22:18:40 - mmengine - INFO - Epoch(train) [67][160/327] lr: 5.000000e-04 eta: 4:34:43 time: 0.354201 data_time: 0.032844 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.910396 2023/08/09 22:18:44 - mmengine - INFO - Epoch(train) [67][170/327] lr: 5.000000e-04 eta: 4:34:39 time: 0.353791 data_time: 0.033505 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.815460 2023/08/09 22:18:47 - mmengine - INFO - Epoch(train) [67][180/327] lr: 5.000000e-04 eta: 4:34:36 time: 0.355327 data_time: 0.033601 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.889023 2023/08/09 22:18:51 - mmengine - INFO - Epoch(train) [67][190/327] lr: 5.000000e-04 eta: 4:34:32 time: 0.357837 data_time: 0.033894 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.911475 2023/08/09 22:18:55 - mmengine - INFO - Epoch(train) [67][200/327] lr: 5.000000e-04 eta: 4:34:29 time: 0.360937 data_time: 0.033724 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.906568 2023/08/09 22:18:58 - mmengine - INFO - Epoch(train) [67][210/327] lr: 5.000000e-04 eta: 4:34:26 time: 0.358876 data_time: 0.034185 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.889039 2023/08/09 22:19:02 - mmengine - INFO - Epoch(train) [67][220/327] lr: 5.000000e-04 eta: 4:34:22 time: 0.356459 data_time: 0.033375 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.854745 2023/08/09 22:19:05 - mmengine - INFO - Epoch(train) [67][230/327] lr: 5.000000e-04 eta: 4:34:18 time: 0.353766 data_time: 0.032833 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.881922 2023/08/09 22:19:08 - mmengine - INFO - Epoch(train) [67][240/327] lr: 5.000000e-04 eta: 4:34:15 time: 0.350619 data_time: 0.032488 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.873140 2023/08/09 22:19:12 - mmengine - INFO - Epoch(train) [67][250/327] lr: 5.000000e-04 eta: 4:34:11 time: 0.347168 data_time: 0.032260 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.902113 2023/08/09 22:19:16 - mmengine - INFO - Epoch(train) [67][260/327] lr: 5.000000e-04 eta: 4:34:08 time: 0.348286 data_time: 0.032189 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.917742 2023/08/09 22:19:20 - mmengine - INFO - Epoch(train) [67][270/327] lr: 5.000000e-04 eta: 4:34:05 time: 0.359699 data_time: 0.033614 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.917570 2023/08/09 22:19:23 - mmengine - INFO - Epoch(train) [67][280/327] lr: 5.000000e-04 eta: 4:34:03 time: 0.367823 data_time: 0.034790 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.907703 2023/08/09 22:19:27 - mmengine - INFO - Epoch(train) [67][290/327] lr: 5.000000e-04 eta: 4:34:00 time: 0.373540 data_time: 0.035241 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.945722 2023/08/09 22:19:31 - mmengine - INFO - Epoch(train) [67][300/327] lr: 5.000000e-04 eta: 4:33:57 time: 0.383828 data_time: 0.035737 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.915805 2023/08/09 22:19:35 - mmengine - INFO - Epoch(train) [67][310/327] lr: 5.000000e-04 eta: 4:33:55 time: 0.390407 data_time: 0.036317 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.867720 2023/08/09 22:19:39 - mmengine - INFO - Epoch(train) [67][320/327] lr: 5.000000e-04 eta: 4:33:52 time: 0.389426 data_time: 0.035498 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.895004 2023/08/09 22:19:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:19:46 - mmengine - INFO - Epoch(train) [68][ 10/327] lr: 5.000000e-04 eta: 4:33:47 time: 0.394291 data_time: 0.038948 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.813857 2023/08/09 22:19:49 - mmengine - INFO - Epoch(train) [68][ 20/327] lr: 5.000000e-04 eta: 4:33:44 time: 0.388640 data_time: 0.038872 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.787903 2023/08/09 22:19:53 - mmengine - INFO - Epoch(train) [68][ 30/327] lr: 5.000000e-04 eta: 4:33:40 time: 0.374738 data_time: 0.037958 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.941379 2023/08/09 22:19:56 - mmengine - INFO - Epoch(train) [68][ 40/327] lr: 5.000000e-04 eta: 4:33:36 time: 0.359728 data_time: 0.037037 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.948851 2023/08/09 22:19:59 - mmengine - INFO - Epoch(train) [68][ 50/327] lr: 5.000000e-04 eta: 4:33:32 time: 0.353548 data_time: 0.036688 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.900269 2023/08/09 22:20:03 - mmengine - INFO - Epoch(train) [68][ 60/327] lr: 5.000000e-04 eta: 4:33:29 time: 0.339895 data_time: 0.031540 memory: 4563 loss: 0.000762 loss_kpt: 0.000762 acc_pose: 0.861658 2023/08/09 22:20:06 - mmengine - INFO - Epoch(train) [68][ 70/327] lr: 5.000000e-04 eta: 4:33:25 time: 0.335474 data_time: 0.030817 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.863490 2023/08/09 22:20:10 - mmengine - INFO - Epoch(train) [68][ 80/327] lr: 5.000000e-04 eta: 4:33:21 time: 0.337530 data_time: 0.031017 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.864418 2023/08/09 22:20:13 - mmengine - INFO - Epoch(train) [68][ 90/327] lr: 5.000000e-04 eta: 4:33:17 time: 0.340398 data_time: 0.031483 memory: 4563 loss: 0.000770 loss_kpt: 0.000770 acc_pose: 0.873780 2023/08/09 22:20:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:20:16 - mmengine - INFO - Epoch(train) [68][100/327] lr: 5.000000e-04 eta: 4:33:14 time: 0.343636 data_time: 0.031633 memory: 4563 loss: 0.000768 loss_kpt: 0.000768 acc_pose: 0.876057 2023/08/09 22:20:20 - mmengine - INFO - Epoch(train) [68][110/327] lr: 5.000000e-04 eta: 4:33:10 time: 0.345211 data_time: 0.031600 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.919246 2023/08/09 22:20:23 - mmengine - INFO - Epoch(train) [68][120/327] lr: 5.000000e-04 eta: 4:33:07 time: 0.345065 data_time: 0.031364 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.916880 2023/08/09 22:20:27 - mmengine - INFO - Epoch(train) [68][130/327] lr: 5.000000e-04 eta: 4:33:03 time: 0.349925 data_time: 0.034437 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.776922 2023/08/09 22:20:31 - mmengine - INFO - Epoch(train) [68][140/327] lr: 5.000000e-04 eta: 4:33:00 time: 0.351043 data_time: 0.034755 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.934929 2023/08/09 22:20:34 - mmengine - INFO - Epoch(train) [68][150/327] lr: 5.000000e-04 eta: 4:32:56 time: 0.352814 data_time: 0.035149 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.874496 2023/08/09 22:20:38 - mmengine - INFO - Epoch(train) [68][160/327] lr: 5.000000e-04 eta: 4:32:53 time: 0.350092 data_time: 0.035384 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.929187 2023/08/09 22:20:41 - mmengine - INFO - Epoch(train) [68][170/327] lr: 5.000000e-04 eta: 4:32:49 time: 0.350805 data_time: 0.035285 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.935847 2023/08/09 22:20:44 - mmengine - INFO - Epoch(train) [68][180/327] lr: 5.000000e-04 eta: 4:32:45 time: 0.344816 data_time: 0.031908 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.785055 2023/08/09 22:20:48 - mmengine - INFO - Epoch(train) [68][190/327] lr: 5.000000e-04 eta: 4:32:41 time: 0.343651 data_time: 0.031124 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.915269 2023/08/09 22:20:51 - mmengine - INFO - Epoch(train) [68][200/327] lr: 5.000000e-04 eta: 4:32:38 time: 0.344965 data_time: 0.031623 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.824174 2023/08/09 22:20:55 - mmengine - INFO - Epoch(train) [68][210/327] lr: 5.000000e-04 eta: 4:32:35 time: 0.349366 data_time: 0.031958 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.837597 2023/08/09 22:20:59 - mmengine - INFO - Epoch(train) [68][220/327] lr: 5.000000e-04 eta: 4:32:32 time: 0.352728 data_time: 0.032024 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.802671 2023/08/09 22:21:02 - mmengine - INFO - Epoch(train) [68][230/327] lr: 5.000000e-04 eta: 4:32:28 time: 0.355261 data_time: 0.032043 memory: 4563 loss: 0.000772 loss_kpt: 0.000772 acc_pose: 0.827175 2023/08/09 22:21:05 - mmengine - INFO - Epoch(train) [68][240/327] lr: 5.000000e-04 eta: 4:32:24 time: 0.354983 data_time: 0.032012 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.820874 2023/08/09 22:21:09 - mmengine - INFO - Epoch(train) [68][250/327] lr: 5.000000e-04 eta: 4:32:21 time: 0.350167 data_time: 0.031058 memory: 4563 loss: 0.000778 loss_kpt: 0.000778 acc_pose: 0.908602 2023/08/09 22:21:12 - mmengine - INFO - Epoch(train) [68][260/327] lr: 5.000000e-04 eta: 4:32:17 time: 0.344239 data_time: 0.030460 memory: 4563 loss: 0.000782 loss_kpt: 0.000782 acc_pose: 0.864087 2023/08/09 22:21:16 - mmengine - INFO - Epoch(train) [68][270/327] lr: 5.000000e-04 eta: 4:32:13 time: 0.344959 data_time: 0.033009 memory: 4563 loss: 0.000773 loss_kpt: 0.000773 acc_pose: 0.938719 2023/08/09 22:21:19 - mmengine - INFO - Epoch(train) [68][280/327] lr: 5.000000e-04 eta: 4:32:10 time: 0.342652 data_time: 0.032959 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.877817 2023/08/09 22:21:23 - mmengine - INFO - Epoch(train) [68][290/327] lr: 5.000000e-04 eta: 4:32:06 time: 0.345263 data_time: 0.036938 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.893921 2023/08/09 22:21:26 - mmengine - INFO - Epoch(train) [68][300/327] lr: 5.000000e-04 eta: 4:32:02 time: 0.344404 data_time: 0.037439 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.926344 2023/08/09 22:21:29 - mmengine - INFO - Epoch(train) [68][310/327] lr: 5.000000e-04 eta: 4:31:58 time: 0.344136 data_time: 0.037604 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.897701 2023/08/09 22:21:33 - mmengine - INFO - Epoch(train) [68][320/327] lr: 5.000000e-04 eta: 4:31:54 time: 0.337851 data_time: 0.034654 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.850985 2023/08/09 22:21:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:21:39 - mmengine - INFO - Epoch(train) [69][ 10/327] lr: 5.000000e-04 eta: 4:31:48 time: 0.335130 data_time: 0.034308 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.881416 2023/08/09 22:21:42 - mmengine - INFO - Epoch(train) [69][ 20/327] lr: 5.000000e-04 eta: 4:31:45 time: 0.340666 data_time: 0.034241 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.886392 2023/08/09 22:21:46 - mmengine - INFO - Epoch(train) [69][ 30/327] lr: 5.000000e-04 eta: 4:31:41 time: 0.344031 data_time: 0.034623 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.925969 2023/08/09 22:21:49 - mmengine - INFO - Epoch(train) [69][ 40/327] lr: 5.000000e-04 eta: 4:31:38 time: 0.346603 data_time: 0.034976 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.823399 2023/08/09 22:21:53 - mmengine - INFO - Epoch(train) [69][ 50/327] lr: 5.000000e-04 eta: 4:31:34 time: 0.355782 data_time: 0.036800 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.865500 2023/08/09 22:21:57 - mmengine - INFO - Epoch(train) [69][ 60/327] lr: 5.000000e-04 eta: 4:31:31 time: 0.359518 data_time: 0.032632 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.872134 2023/08/09 22:22:00 - mmengine - INFO - Epoch(train) [69][ 70/327] lr: 5.000000e-04 eta: 4:31:28 time: 0.360305 data_time: 0.032523 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.864634 2023/08/09 22:22:04 - mmengine - INFO - Epoch(train) [69][ 80/327] lr: 5.000000e-04 eta: 4:31:24 time: 0.357770 data_time: 0.032512 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.879576 2023/08/09 22:22:07 - mmengine - INFO - Epoch(train) [69][ 90/327] lr: 5.000000e-04 eta: 4:31:21 time: 0.358012 data_time: 0.032703 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.849993 2023/08/09 22:22:11 - mmengine - INFO - Epoch(train) [69][100/327] lr: 5.000000e-04 eta: 4:31:17 time: 0.355544 data_time: 0.032592 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.851341 2023/08/09 22:22:14 - mmengine - INFO - Epoch(train) [69][110/327] lr: 5.000000e-04 eta: 4:31:14 time: 0.349175 data_time: 0.032406 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.861529 2023/08/09 22:22:18 - mmengine - INFO - Epoch(train) [69][120/327] lr: 5.000000e-04 eta: 4:31:10 time: 0.347633 data_time: 0.032468 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.825556 2023/08/09 22:22:21 - mmengine - INFO - Epoch(train) [69][130/327] lr: 5.000000e-04 eta: 4:31:07 time: 0.349403 data_time: 0.032353 memory: 4563 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.914290 2023/08/09 22:22:25 - mmengine - INFO - Epoch(train) [69][140/327] lr: 5.000000e-04 eta: 4:31:03 time: 0.350976 data_time: 0.034882 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.835385 2023/08/09 22:22:28 - mmengine - INFO - Epoch(train) [69][150/327] lr: 5.000000e-04 eta: 4:31:00 time: 0.352565 data_time: 0.034277 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.901001 2023/08/09 22:22:32 - mmengine - INFO - Epoch(train) [69][160/327] lr: 5.000000e-04 eta: 4:30:56 time: 0.352625 data_time: 0.034383 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.831975 2023/08/09 22:22:35 - mmengine - INFO - Epoch(train) [69][170/327] lr: 5.000000e-04 eta: 4:30:52 time: 0.349357 data_time: 0.034032 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.918407 2023/08/09 22:22:39 - mmengine - INFO - Epoch(train) [69][180/327] lr: 5.000000e-04 eta: 4:30:49 time: 0.352231 data_time: 0.034246 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.818423 2023/08/09 22:22:42 - mmengine - INFO - Epoch(train) [69][190/327] lr: 5.000000e-04 eta: 4:30:46 time: 0.355328 data_time: 0.031619 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.894397 2023/08/09 22:22:46 - mmengine - INFO - Epoch(train) [69][200/327] lr: 5.000000e-04 eta: 4:30:42 time: 0.351334 data_time: 0.031806 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.875154 2023/08/09 22:22:49 - mmengine - INFO - Epoch(train) [69][210/327] lr: 5.000000e-04 eta: 4:30:38 time: 0.350598 data_time: 0.031916 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.936240 2023/08/09 22:22:53 - mmengine - INFO - Epoch(train) [69][220/327] lr: 5.000000e-04 eta: 4:30:35 time: 0.350577 data_time: 0.031836 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.907438 2023/08/09 22:22:56 - mmengine - INFO - Epoch(train) [69][230/327] lr: 5.000000e-04 eta: 4:30:31 time: 0.346174 data_time: 0.031295 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.859720 2023/08/09 22:22:59 - mmengine - INFO - Epoch(train) [69][240/327] lr: 5.000000e-04 eta: 4:30:27 time: 0.340476 data_time: 0.031043 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.833653 2023/08/09 22:23:03 - mmengine - INFO - Epoch(train) [69][250/327] lr: 5.000000e-04 eta: 4:30:24 time: 0.344674 data_time: 0.031301 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.955101 2023/08/09 22:23:07 - mmengine - INFO - Epoch(train) [69][260/327] lr: 5.000000e-04 eta: 4:30:21 time: 0.349096 data_time: 0.031572 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.869535 2023/08/09 22:23:10 - mmengine - INFO - Epoch(train) [69][270/327] lr: 5.000000e-04 eta: 4:30:17 time: 0.353917 data_time: 0.032290 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.946009 2023/08/09 22:23:14 - mmengine - INFO - Epoch(train) [69][280/327] lr: 5.000000e-04 eta: 4:30:15 time: 0.365302 data_time: 0.032559 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.881281 2023/08/09 22:23:18 - mmengine - INFO - Epoch(train) [69][290/327] lr: 5.000000e-04 eta: 4:30:11 time: 0.368702 data_time: 0.032694 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.828520 2023/08/09 22:23:21 - mmengine - INFO - Epoch(train) [69][300/327] lr: 5.000000e-04 eta: 4:30:08 time: 0.364310 data_time: 0.032283 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.891164 2023/08/09 22:23:25 - mmengine - INFO - Epoch(train) [69][310/327] lr: 5.000000e-04 eta: 4:30:04 time: 0.359767 data_time: 0.032088 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.850474 2023/08/09 22:23:28 - mmengine - INFO - Epoch(train) [69][320/327] lr: 5.000000e-04 eta: 4:30:01 time: 0.359007 data_time: 0.031833 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.855673 2023/08/09 22:23:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:23:35 - mmengine - INFO - Epoch(train) [70][ 10/327] lr: 5.000000e-04 eta: 4:29:55 time: 0.355477 data_time: 0.035557 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.874925 2023/08/09 22:23:38 - mmengine - INFO - Epoch(train) [70][ 20/327] lr: 5.000000e-04 eta: 4:29:52 time: 0.356708 data_time: 0.035868 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.824200 2023/08/09 22:23:41 - mmengine - INFO - Epoch(train) [70][ 30/327] lr: 5.000000e-04 eta: 4:29:48 time: 0.357304 data_time: 0.035991 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.846685 2023/08/09 22:23:45 - mmengine - INFO - Epoch(train) [70][ 40/327] lr: 5.000000e-04 eta: 4:29:44 time: 0.356318 data_time: 0.035553 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.865230 2023/08/09 22:23:48 - mmengine - INFO - Epoch(train) [70][ 50/327] lr: 5.000000e-04 eta: 4:29:41 time: 0.349820 data_time: 0.036132 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.845053 2023/08/09 22:23:52 - mmengine - INFO - Epoch(train) [70][ 60/327] lr: 5.000000e-04 eta: 4:29:37 time: 0.346409 data_time: 0.031890 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.856422 2023/08/09 22:23:56 - mmengine - INFO - Epoch(train) [70][ 70/327] lr: 5.000000e-04 eta: 4:29:34 time: 0.351876 data_time: 0.031856 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.861274 2023/08/09 22:23:59 - mmengine - INFO - Epoch(train) [70][ 80/327] lr: 5.000000e-04 eta: 4:29:31 time: 0.354166 data_time: 0.031962 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.748810 2023/08/09 22:24:03 - mmengine - INFO - Epoch(train) [70][ 90/327] lr: 5.000000e-04 eta: 4:29:27 time: 0.354699 data_time: 0.032041 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.799858 2023/08/09 22:24:06 - mmengine - INFO - Epoch(train) [70][100/327] lr: 5.000000e-04 eta: 4:29:24 time: 0.356097 data_time: 0.031561 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.902910 2023/08/09 22:24:10 - mmengine - INFO - Epoch(train) [70][110/327] lr: 5.000000e-04 eta: 4:29:20 time: 0.353834 data_time: 0.031522 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.957759 2023/08/09 22:24:13 - mmengine - INFO - Epoch(train) [70][120/327] lr: 5.000000e-04 eta: 4:29:17 time: 0.350492 data_time: 0.031340 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.838979 2023/08/09 22:24:17 - mmengine - INFO - Epoch(train) [70][130/327] lr: 5.000000e-04 eta: 4:29:14 time: 0.353694 data_time: 0.034609 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.816112 2023/08/09 22:24:20 - mmengine - INFO - Epoch(train) [70][140/327] lr: 5.000000e-04 eta: 4:29:10 time: 0.353961 data_time: 0.034804 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.906759 2023/08/09 22:24:24 - mmengine - INFO - Epoch(train) [70][150/327] lr: 5.000000e-04 eta: 4:29:06 time: 0.354351 data_time: 0.035342 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.835377 2023/08/09 22:24:27 - mmengine - INFO - Epoch(train) [70][160/327] lr: 5.000000e-04 eta: 4:29:03 time: 0.353721 data_time: 0.035332 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.876613 2023/08/09 22:24:31 - mmengine - INFO - Epoch(train) [70][170/327] lr: 5.000000e-04 eta: 4:28:59 time: 0.353858 data_time: 0.035434 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.899290 2023/08/09 22:24:34 - mmengine - INFO - Epoch(train) [70][180/327] lr: 5.000000e-04 eta: 4:28:56 time: 0.350478 data_time: 0.031775 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.917742 2023/08/09 22:24:38 - mmengine - INFO - Epoch(train) [70][190/327] lr: 5.000000e-04 eta: 4:28:52 time: 0.350566 data_time: 0.031509 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.845238 2023/08/09 22:24:42 - mmengine - INFO - Epoch(train) [70][200/327] lr: 5.000000e-04 eta: 4:28:49 time: 0.353787 data_time: 0.031424 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.933110 2023/08/09 22:24:45 - mmengine - INFO - Epoch(train) [70][210/327] lr: 5.000000e-04 eta: 4:28:46 time: 0.358420 data_time: 0.031598 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.908744 2023/08/09 22:24:49 - mmengine - INFO - Epoch(train) [70][220/327] lr: 5.000000e-04 eta: 4:28:42 time: 0.358025 data_time: 0.031591 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.850824 2023/08/09 22:24:52 - mmengine - INFO - Epoch(train) [70][230/327] lr: 5.000000e-04 eta: 4:28:39 time: 0.359989 data_time: 0.031795 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.939327 2023/08/09 22:24:56 - mmengine - INFO - Epoch(train) [70][240/327] lr: 5.000000e-04 eta: 4:28:36 time: 0.360673 data_time: 0.031936 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.847156 2023/08/09 22:25:00 - mmengine - INFO - Epoch(train) [70][250/327] lr: 5.000000e-04 eta: 4:28:32 time: 0.359200 data_time: 0.031502 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.915453 2023/08/09 22:25:03 - mmengine - INFO - Epoch(train) [70][260/327] lr: 5.000000e-04 eta: 4:28:29 time: 0.356039 data_time: 0.031638 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.794809 2023/08/09 22:25:07 - mmengine - INFO - Epoch(train) [70][270/327] lr: 5.000000e-04 eta: 4:28:25 time: 0.354452 data_time: 0.031591 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.810605 2023/08/09 22:25:10 - mmengine - INFO - Epoch(train) [70][280/327] lr: 5.000000e-04 eta: 4:28:22 time: 0.351980 data_time: 0.032296 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.848776 2023/08/09 22:25:14 - mmengine - INFO - Epoch(train) [70][290/327] lr: 5.000000e-04 eta: 4:28:18 time: 0.352295 data_time: 0.032355 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.891972 2023/08/09 22:25:17 - mmengine - INFO - Epoch(train) [70][300/327] lr: 5.000000e-04 eta: 4:28:15 time: 0.353544 data_time: 0.032736 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.939286 2023/08/09 22:25:21 - mmengine - INFO - Epoch(train) [70][310/327] lr: 5.000000e-04 eta: 4:28:11 time: 0.352859 data_time: 0.032382 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.856909 2023/08/09 22:25:24 - mmengine - INFO - Epoch(train) [70][320/327] lr: 5.000000e-04 eta: 4:28:08 time: 0.352266 data_time: 0.032327 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.921182 2023/08/09 22:25:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:25:27 - mmengine - INFO - Saving checkpoint at 70 epochs 2023/08/09 22:25:34 - mmengine - INFO - Epoch(val) [70][10/79] eta: 0:00:14 time: 0.196101 data_time: 0.013411 memory: 4563 2023/08/09 22:25:36 - mmengine - INFO - Epoch(val) [70][20/79] eta: 0:00:12 time: 0.197560 data_time: 0.014097 memory: 1634 2023/08/09 22:25:38 - mmengine - INFO - Epoch(val) [70][30/79] eta: 0:00:10 time: 0.198539 data_time: 0.014483 memory: 1634 2023/08/09 22:25:40 - mmengine - INFO - Epoch(val) [70][40/79] eta: 0:00:07 time: 0.199675 data_time: 0.015000 memory: 1634 2023/08/09 22:25:42 - mmengine - INFO - Epoch(val) [70][50/79] eta: 0:00:05 time: 0.206816 data_time: 0.019272 memory: 1634 2023/08/09 22:25:44 - mmengine - INFO - Epoch(val) [70][60/79] eta: 0:00:03 time: 0.205551 data_time: 0.017799 memory: 1634 2023/08/09 22:25:46 - mmengine - INFO - Epoch(val) [70][70/79] eta: 0:00:01 time: 0.204936 data_time: 0.017468 memory: 1634 2023/08/09 22:25:48 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 22:25:48 - mmengine - INFO - Evaluating AUC... 2023/08/09 22:25:48 - mmengine - INFO - Evaluating EPE... 2023/08/09 22:25:48 - mmengine - INFO - Epoch(val) [70][79/79] PCK: 0.971401 AUC: 0.746183 EPE: 9.828145 data_time: 0.017270 time: 0.202230 2023/08/09 22:25:52 - mmengine - INFO - Epoch(train) [71][ 10/327] lr: 5.000000e-04 eta: 4:28:02 time: 0.355359 data_time: 0.035039 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.850972 2023/08/09 22:25:55 - mmengine - INFO - Epoch(train) [71][ 20/327] lr: 5.000000e-04 eta: 4:27:59 time: 0.352213 data_time: 0.035038 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.851001 2023/08/09 22:25:59 - mmengine - INFO - Epoch(train) [71][ 30/327] lr: 5.000000e-04 eta: 4:27:55 time: 0.353406 data_time: 0.035061 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.908583 2023/08/09 22:26:02 - mmengine - INFO - Epoch(train) [71][ 40/327] lr: 5.000000e-04 eta: 4:27:51 time: 0.353323 data_time: 0.035209 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.886043 2023/08/09 22:26:06 - mmengine - INFO - Epoch(train) [71][ 50/327] lr: 5.000000e-04 eta: 4:27:48 time: 0.354582 data_time: 0.037030 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.845402 2023/08/09 22:26:09 - mmengine - INFO - Epoch(train) [71][ 60/327] lr: 5.000000e-04 eta: 4:27:45 time: 0.351680 data_time: 0.033286 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.812366 2023/08/09 22:26:13 - mmengine - INFO - Epoch(train) [71][ 70/327] lr: 5.000000e-04 eta: 4:27:41 time: 0.349554 data_time: 0.033013 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.930902 2023/08/09 22:26:16 - mmengine - INFO - Epoch(train) [71][ 80/327] lr: 5.000000e-04 eta: 4:27:38 time: 0.350961 data_time: 0.032869 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.891786 2023/08/09 22:26:20 - mmengine - INFO - Epoch(train) [71][ 90/327] lr: 5.000000e-04 eta: 4:27:34 time: 0.352254 data_time: 0.032641 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.895108 2023/08/09 22:26:23 - mmengine - INFO - Epoch(train) [71][100/327] lr: 5.000000e-04 eta: 4:27:30 time: 0.350100 data_time: 0.031353 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.942708 2023/08/09 22:26:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:26:27 - mmengine - INFO - Epoch(train) [71][110/327] lr: 5.000000e-04 eta: 4:27:27 time: 0.350770 data_time: 0.031090 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.910126 2023/08/09 22:26:30 - mmengine - INFO - Epoch(train) [71][120/327] lr: 5.000000e-04 eta: 4:27:23 time: 0.350836 data_time: 0.031264 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.912847 2023/08/09 22:26:34 - mmengine - INFO - Epoch(train) [71][130/327] lr: 5.000000e-04 eta: 4:27:20 time: 0.348321 data_time: 0.031599 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.870228 2023/08/09 22:26:37 - mmengine - INFO - Epoch(train) [71][140/327] lr: 5.000000e-04 eta: 4:27:16 time: 0.346687 data_time: 0.031821 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.815828 2023/08/09 22:26:40 - mmengine - INFO - Epoch(train) [71][150/327] lr: 5.000000e-04 eta: 4:27:12 time: 0.346010 data_time: 0.032562 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.837489 2023/08/09 22:26:44 - mmengine - INFO - Epoch(train) [71][160/327] lr: 5.000000e-04 eta: 4:27:09 time: 0.345689 data_time: 0.035709 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.962581 2023/08/09 22:26:47 - mmengine - INFO - Epoch(train) [71][170/327] lr: 5.000000e-04 eta: 4:27:05 time: 0.343681 data_time: 0.035448 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.889172 2023/08/09 22:26:51 - mmengine - INFO - Epoch(train) [71][180/327] lr: 5.000000e-04 eta: 4:27:02 time: 0.345598 data_time: 0.035495 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.894841 2023/08/09 22:26:54 - mmengine - INFO - Epoch(train) [71][190/327] lr: 5.000000e-04 eta: 4:26:58 time: 0.345862 data_time: 0.035608 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.861831 2023/08/09 22:26:58 - mmengine - INFO - Epoch(train) [71][200/327] lr: 5.000000e-04 eta: 4:26:55 time: 0.349902 data_time: 0.035222 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.832729 2023/08/09 22:27:02 - mmengine - INFO - Epoch(train) [71][210/327] lr: 5.000000e-04 eta: 4:26:51 time: 0.351048 data_time: 0.031863 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.895354 2023/08/09 22:27:05 - mmengine - INFO - Epoch(train) [71][220/327] lr: 5.000000e-04 eta: 4:26:47 time: 0.351344 data_time: 0.031839 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.907885 2023/08/09 22:27:08 - mmengine - INFO - Epoch(train) [71][230/327] lr: 5.000000e-04 eta: 4:26:44 time: 0.347084 data_time: 0.031446 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.880747 2023/08/09 22:27:12 - mmengine - INFO - Epoch(train) [71][240/327] lr: 5.000000e-04 eta: 4:26:40 time: 0.345744 data_time: 0.031655 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.922602 2023/08/09 22:27:15 - mmengine - INFO - Epoch(train) [71][250/327] lr: 5.000000e-04 eta: 4:26:36 time: 0.342674 data_time: 0.031415 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.937660 2023/08/09 22:27:19 - mmengine - INFO - Epoch(train) [71][260/327] lr: 5.000000e-04 eta: 4:26:32 time: 0.339768 data_time: 0.031661 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.897967 2023/08/09 22:27:22 - mmengine - INFO - Epoch(train) [71][270/327] lr: 5.000000e-04 eta: 4:26:29 time: 0.340727 data_time: 0.031603 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.931141 2023/08/09 22:27:25 - mmengine - INFO - Epoch(train) [71][280/327] lr: 5.000000e-04 eta: 4:26:25 time: 0.342220 data_time: 0.031962 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.835463 2023/08/09 22:27:29 - mmengine - INFO - Epoch(train) [71][290/327] lr: 5.000000e-04 eta: 4:26:22 time: 0.345579 data_time: 0.031448 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.915485 2023/08/09 22:27:32 - mmengine - INFO - Epoch(train) [71][300/327] lr: 5.000000e-04 eta: 4:26:18 time: 0.345391 data_time: 0.031121 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.893750 2023/08/09 22:27:36 - mmengine - INFO - Epoch(train) [71][310/327] lr: 5.000000e-04 eta: 4:26:14 time: 0.343435 data_time: 0.030738 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.931548 2023/08/09 22:27:39 - mmengine - INFO - Epoch(train) [71][320/327] lr: 5.000000e-04 eta: 4:26:10 time: 0.342329 data_time: 0.030884 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.859316 2023/08/09 22:27:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:27:45 - mmengine - INFO - Epoch(train) [72][ 10/327] lr: 5.000000e-04 eta: 4:26:04 time: 0.342344 data_time: 0.034346 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.846839 2023/08/09 22:27:49 - mmengine - INFO - Epoch(train) [72][ 20/327] lr: 5.000000e-04 eta: 4:26:01 time: 0.342882 data_time: 0.035191 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.830387 2023/08/09 22:27:52 - mmengine - INFO - Epoch(train) [72][ 30/327] lr: 5.000000e-04 eta: 4:25:57 time: 0.343543 data_time: 0.035765 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.888444 2023/08/09 22:27:55 - mmengine - INFO - Epoch(train) [72][ 40/327] lr: 5.000000e-04 eta: 4:25:53 time: 0.344087 data_time: 0.035869 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.859116 2023/08/09 22:27:59 - mmengine - INFO - Epoch(train) [72][ 50/327] lr: 5.000000e-04 eta: 4:25:49 time: 0.344022 data_time: 0.035630 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.949862 2023/08/09 22:28:02 - mmengine - INFO - Epoch(train) [72][ 60/327] lr: 5.000000e-04 eta: 4:25:45 time: 0.337732 data_time: 0.031621 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.896220 2023/08/09 22:28:05 - mmengine - INFO - Epoch(train) [72][ 70/327] lr: 5.000000e-04 eta: 4:25:42 time: 0.335991 data_time: 0.030861 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.896537 2023/08/09 22:28:09 - mmengine - INFO - Epoch(train) [72][ 80/327] lr: 5.000000e-04 eta: 4:25:38 time: 0.336424 data_time: 0.030691 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.866927 2023/08/09 22:28:12 - mmengine - INFO - Epoch(train) [72][ 90/327] lr: 5.000000e-04 eta: 4:25:34 time: 0.336891 data_time: 0.031026 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.845767 2023/08/09 22:28:16 - mmengine - INFO - Epoch(train) [72][100/327] lr: 5.000000e-04 eta: 4:25:30 time: 0.338262 data_time: 0.031359 memory: 4563 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.950806 2023/08/09 22:28:19 - mmengine - INFO - Epoch(train) [72][110/327] lr: 5.000000e-04 eta: 4:25:27 time: 0.338370 data_time: 0.031426 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.895192 2023/08/09 22:28:22 - mmengine - INFO - Epoch(train) [72][120/327] lr: 5.000000e-04 eta: 4:25:23 time: 0.339112 data_time: 0.031376 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.941324 2023/08/09 22:28:26 - mmengine - INFO - Epoch(train) [72][130/327] lr: 5.000000e-04 eta: 4:25:19 time: 0.337676 data_time: 0.030836 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.908046 2023/08/09 22:28:29 - mmengine - INFO - Epoch(train) [72][140/327] lr: 5.000000e-04 eta: 4:25:16 time: 0.341194 data_time: 0.033895 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.882397 2023/08/09 22:28:33 - mmengine - INFO - Epoch(train) [72][150/327] lr: 5.000000e-04 eta: 4:25:12 time: 0.342012 data_time: 0.033972 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.793202 2023/08/09 22:28:36 - mmengine - INFO - Epoch(train) [72][160/327] lr: 5.000000e-04 eta: 4:25:08 time: 0.343910 data_time: 0.034317 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.947888 2023/08/09 22:28:39 - mmengine - INFO - Epoch(train) [72][170/327] lr: 5.000000e-04 eta: 4:25:05 time: 0.342180 data_time: 0.034799 memory: 4563 loss: 0.000740 loss_kpt: 0.000740 acc_pose: 0.922910 2023/08/09 22:28:43 - mmengine - INFO - Epoch(train) [72][180/327] lr: 5.000000e-04 eta: 4:25:01 time: 0.342620 data_time: 0.035039 memory: 4563 loss: 0.000735 loss_kpt: 0.000735 acc_pose: 0.908405 2023/08/09 22:28:46 - mmengine - INFO - Epoch(train) [72][190/327] lr: 5.000000e-04 eta: 4:24:57 time: 0.338711 data_time: 0.032181 memory: 4563 loss: 0.000743 loss_kpt: 0.000743 acc_pose: 0.932955 2023/08/09 22:28:50 - mmengine - INFO - Epoch(train) [72][200/327] lr: 5.000000e-04 eta: 4:24:53 time: 0.338132 data_time: 0.032468 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.910465 2023/08/09 22:28:53 - mmengine - INFO - Epoch(train) [72][210/327] lr: 5.000000e-04 eta: 4:24:50 time: 0.339036 data_time: 0.032785 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.922373 2023/08/09 22:28:56 - mmengine - INFO - Epoch(train) [72][220/327] lr: 5.000000e-04 eta: 4:24:46 time: 0.338949 data_time: 0.032508 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.806878 2023/08/09 22:29:00 - mmengine - INFO - Epoch(train) [72][230/327] lr: 5.000000e-04 eta: 4:24:43 time: 0.348481 data_time: 0.032894 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.905419 2023/08/09 22:29:04 - mmengine - INFO - Epoch(train) [72][240/327] lr: 5.000000e-04 eta: 4:24:39 time: 0.350668 data_time: 0.032711 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.752419 2023/08/09 22:29:07 - mmengine - INFO - Epoch(train) [72][250/327] lr: 5.000000e-04 eta: 4:24:36 time: 0.350958 data_time: 0.032194 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.875990 2023/08/09 22:29:10 - mmengine - INFO - Epoch(train) [72][260/327] lr: 5.000000e-04 eta: 4:24:32 time: 0.348450 data_time: 0.031644 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.841133 2023/08/09 22:29:14 - mmengine - INFO - Epoch(train) [72][270/327] lr: 5.000000e-04 eta: 4:24:28 time: 0.346933 data_time: 0.031334 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.924872 2023/08/09 22:29:17 - mmengine - INFO - Epoch(train) [72][280/327] lr: 5.000000e-04 eta: 4:24:25 time: 0.344194 data_time: 0.031056 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.886275 2023/08/09 22:29:21 - mmengine - INFO - Epoch(train) [72][290/327] lr: 5.000000e-04 eta: 4:24:21 time: 0.344972 data_time: 0.031248 memory: 4563 loss: 0.000736 loss_kpt: 0.000736 acc_pose: 0.872237 2023/08/09 22:29:24 - mmengine - INFO - Epoch(train) [72][300/327] lr: 5.000000e-04 eta: 4:24:18 time: 0.346650 data_time: 0.032296 memory: 4563 loss: 0.000734 loss_kpt: 0.000734 acc_pose: 0.815082 2023/08/09 22:29:28 - mmengine - INFO - Epoch(train) [72][310/327] lr: 5.000000e-04 eta: 4:24:14 time: 0.349705 data_time: 0.032630 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.889901 2023/08/09 22:29:31 - mmengine - INFO - Epoch(train) [72][320/327] lr: 5.000000e-04 eta: 4:24:10 time: 0.351467 data_time: 0.032654 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.903646 2023/08/09 22:29:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:29:37 - mmengine - INFO - Epoch(train) [73][ 10/327] lr: 5.000000e-04 eta: 4:24:04 time: 0.347045 data_time: 0.035251 memory: 4563 loss: 0.000755 loss_kpt: 0.000755 acc_pose: 0.902388 2023/08/09 22:29:41 - mmengine - INFO - Epoch(train) [73][ 20/327] lr: 5.000000e-04 eta: 4:24:00 time: 0.345622 data_time: 0.033984 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.878842 2023/08/09 22:29:44 - mmengine - INFO - Epoch(train) [73][ 30/327] lr: 5.000000e-04 eta: 4:23:57 time: 0.345287 data_time: 0.033592 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.847798 2023/08/09 22:29:48 - mmengine - INFO - Epoch(train) [73][ 40/327] lr: 5.000000e-04 eta: 4:23:54 time: 0.347746 data_time: 0.034004 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.806843 2023/08/09 22:29:51 - mmengine - INFO - Epoch(train) [73][ 50/327] lr: 5.000000e-04 eta: 4:23:50 time: 0.353096 data_time: 0.034851 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.964286 2023/08/09 22:29:55 - mmengine - INFO - Epoch(train) [73][ 60/327] lr: 5.000000e-04 eta: 4:23:47 time: 0.352639 data_time: 0.031594 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.826232 2023/08/09 22:29:58 - mmengine - INFO - Epoch(train) [73][ 70/327] lr: 5.000000e-04 eta: 4:23:43 time: 0.354558 data_time: 0.031883 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.845003 2023/08/09 22:30:02 - mmengine - INFO - Epoch(train) [73][ 80/327] lr: 5.000000e-04 eta: 4:23:40 time: 0.353190 data_time: 0.031328 memory: 4563 loss: 0.000751 loss_kpt: 0.000751 acc_pose: 0.884825 2023/08/09 22:30:06 - mmengine - INFO - Epoch(train) [73][ 90/327] lr: 5.000000e-04 eta: 4:23:37 time: 0.358380 data_time: 0.034063 memory: 4563 loss: 0.000746 loss_kpt: 0.000746 acc_pose: 0.878875 2023/08/09 22:30:09 - mmengine - INFO - Epoch(train) [73][100/327] lr: 5.000000e-04 eta: 4:23:33 time: 0.359828 data_time: 0.034169 memory: 4563 loss: 0.000745 loss_kpt: 0.000745 acc_pose: 0.899848 2023/08/09 22:30:13 - mmengine - INFO - Epoch(train) [73][110/327] lr: 5.000000e-04 eta: 4:23:30 time: 0.358917 data_time: 0.034234 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.862500 2023/08/09 22:30:16 - mmengine - INFO - Epoch(train) [73][120/327] lr: 5.000000e-04 eta: 4:23:27 time: 0.360950 data_time: 0.034400 memory: 4563 loss: 0.000737 loss_kpt: 0.000737 acc_pose: 0.854760 2023/08/09 22:30:20 - mmengine - INFO - Epoch(train) [73][130/327] lr: 5.000000e-04 eta: 4:23:23 time: 0.361656 data_time: 0.035029 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.898810 2023/08/09 22:30:23 - mmengine - INFO - Epoch(train) [73][140/327] lr: 5.000000e-04 eta: 4:23:19 time: 0.352247 data_time: 0.031740 memory: 4563 loss: 0.000744 loss_kpt: 0.000744 acc_pose: 0.926075 2023/08/09 22:30:27 - mmengine - INFO - Epoch(train) [73][150/327] lr: 5.000000e-04 eta: 4:23:16 time: 0.348946 data_time: 0.031550 memory: 4563 loss: 0.000749 loss_kpt: 0.000749 acc_pose: 0.882822 2023/08/09 22:30:30 - mmengine - INFO - Epoch(train) [73][160/327] lr: 5.000000e-04 eta: 4:23:12 time: 0.347495 data_time: 0.031297 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.901009 2023/08/09 22:30:34 - mmengine - INFO - Epoch(train) [73][170/327] lr: 5.000000e-04 eta: 4:23:08 time: 0.344792 data_time: 0.031458 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.759264 2023/08/09 22:30:37 - mmengine - INFO - Epoch(train) [73][180/327] lr: 5.000000e-04 eta: 4:23:05 time: 0.346550 data_time: 0.031404 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.871841 2023/08/09 22:30:41 - mmengine - INFO - Epoch(train) [73][190/327] lr: 5.000000e-04 eta: 4:23:01 time: 0.347728 data_time: 0.031867 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.887917 2023/08/09 22:30:44 - mmengine - INFO - Epoch(train) [73][200/327] lr: 5.000000e-04 eta: 4:22:58 time: 0.349237 data_time: 0.031827 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.905747 2023/08/09 22:30:48 - mmengine - INFO - Epoch(train) [73][210/327] lr: 5.000000e-04 eta: 4:22:54 time: 0.348822 data_time: 0.031903 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.936343 2023/08/09 22:30:51 - mmengine - INFO - Epoch(train) [73][220/327] lr: 5.000000e-04 eta: 4:22:51 time: 0.348024 data_time: 0.031391 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.847870 2023/08/09 22:30:54 - mmengine - INFO - Epoch(train) [73][230/327] lr: 5.000000e-04 eta: 4:22:47 time: 0.345566 data_time: 0.031116 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.931897 2023/08/09 22:30:58 - mmengine - INFO - Epoch(train) [73][240/327] lr: 5.000000e-04 eta: 4:22:43 time: 0.345237 data_time: 0.030983 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.866270 2023/08/09 22:31:02 - mmengine - INFO - Epoch(train) [73][250/327] lr: 5.000000e-04 eta: 4:22:40 time: 0.347777 data_time: 0.030955 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.853238 2023/08/09 22:31:05 - mmengine - INFO - Epoch(train) [73][260/327] lr: 5.000000e-04 eta: 4:22:37 time: 0.349568 data_time: 0.031247 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.803115 2023/08/09 22:31:09 - mmengine - INFO - Epoch(train) [73][270/327] lr: 5.000000e-04 eta: 4:22:33 time: 0.353953 data_time: 0.031433 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.906841 2023/08/09 22:31:12 - mmengine - INFO - Epoch(train) [73][280/327] lr: 5.000000e-04 eta: 4:22:30 time: 0.359124 data_time: 0.031610 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.883305 2023/08/09 22:31:16 - mmengine - INFO - Epoch(train) [73][290/327] lr: 5.000000e-04 eta: 4:22:27 time: 0.360061 data_time: 0.031319 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.861466 2023/08/09 22:31:19 - mmengine - INFO - Epoch(train) [73][300/327] lr: 5.000000e-04 eta: 4:22:23 time: 0.356727 data_time: 0.031196 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.947022 2023/08/09 22:31:23 - mmengine - INFO - Epoch(train) [73][310/327] lr: 5.000000e-04 eta: 4:22:19 time: 0.354375 data_time: 0.030763 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.841279 2023/08/09 22:31:26 - mmengine - INFO - Epoch(train) [73][320/327] lr: 5.000000e-04 eta: 4:22:16 time: 0.354100 data_time: 0.031032 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.898545 2023/08/09 22:31:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:31:32 - mmengine - INFO - Epoch(train) [74][ 10/327] lr: 5.000000e-04 eta: 4:22:10 time: 0.350696 data_time: 0.034540 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.947927 2023/08/09 22:31:36 - mmengine - INFO - Epoch(train) [74][ 20/327] lr: 5.000000e-04 eta: 4:22:07 time: 0.352937 data_time: 0.034978 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.892583 2023/08/09 22:31:39 - mmengine - INFO - Epoch(train) [74][ 30/327] lr: 5.000000e-04 eta: 4:22:03 time: 0.352614 data_time: 0.035578 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.849454 2023/08/09 22:31:43 - mmengine - INFO - Epoch(train) [74][ 40/327] lr: 5.000000e-04 eta: 4:21:59 time: 0.349206 data_time: 0.035985 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.941389 2023/08/09 22:31:46 - mmengine - INFO - Epoch(train) [74][ 50/327] lr: 5.000000e-04 eta: 4:21:56 time: 0.351061 data_time: 0.037342 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.866518 2023/08/09 22:31:50 - mmengine - INFO - Epoch(train) [74][ 60/327] lr: 5.000000e-04 eta: 4:21:52 time: 0.347150 data_time: 0.033509 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.932722 2023/08/09 22:31:53 - mmengine - INFO - Epoch(train) [74][ 70/327] lr: 5.000000e-04 eta: 4:21:49 time: 0.349107 data_time: 0.033482 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.924107 2023/08/09 22:31:57 - mmengine - INFO - Epoch(train) [74][ 80/327] lr: 5.000000e-04 eta: 4:21:46 time: 0.352817 data_time: 0.032880 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.916906 2023/08/09 22:32:01 - mmengine - INFO - Epoch(train) [74][ 90/327] lr: 5.000000e-04 eta: 4:21:42 time: 0.353826 data_time: 0.032432 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.897989 2023/08/09 22:32:04 - mmengine - INFO - Epoch(train) [74][100/327] lr: 5.000000e-04 eta: 4:21:39 time: 0.361525 data_time: 0.032403 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.844923 2023/08/09 22:32:08 - mmengine - INFO - Epoch(train) [74][110/327] lr: 5.000000e-04 eta: 4:21:35 time: 0.361296 data_time: 0.031595 memory: 4563 loss: 0.000747 loss_kpt: 0.000747 acc_pose: 0.931548 2023/08/09 22:32:11 - mmengine - INFO - Epoch(train) [74][120/327] lr: 5.000000e-04 eta: 4:21:32 time: 0.357427 data_time: 0.031322 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.941342 2023/08/09 22:32:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:32:15 - mmengine - INFO - Epoch(train) [74][130/327] lr: 5.000000e-04 eta: 4:21:28 time: 0.354576 data_time: 0.031220 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.891638 2023/08/09 22:32:18 - mmengine - INFO - Epoch(train) [74][140/327] lr: 5.000000e-04 eta: 4:21:25 time: 0.354135 data_time: 0.031394 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.851124 2023/08/09 22:32:22 - mmengine - INFO - Epoch(train) [74][150/327] lr: 5.000000e-04 eta: 4:21:21 time: 0.348038 data_time: 0.031337 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.913134 2023/08/09 22:32:26 - mmengine - INFO - Epoch(train) [74][160/327] lr: 5.000000e-04 eta: 4:21:18 time: 0.352228 data_time: 0.031471 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.856322 2023/08/09 22:32:29 - mmengine - INFO - Epoch(train) [74][170/327] lr: 5.000000e-04 eta: 4:21:14 time: 0.352144 data_time: 0.031580 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.872414 2023/08/09 22:32:32 - mmengine - INFO - Epoch(train) [74][180/327] lr: 5.000000e-04 eta: 4:21:11 time: 0.349973 data_time: 0.031654 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.952143 2023/08/09 22:32:36 - mmengine - INFO - Epoch(train) [74][190/327] lr: 5.000000e-04 eta: 4:21:07 time: 0.348343 data_time: 0.031269 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.948276 2023/08/09 22:32:39 - mmengine - INFO - Epoch(train) [74][200/327] lr: 5.000000e-04 eta: 4:21:03 time: 0.346064 data_time: 0.030973 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.880608 2023/08/09 22:32:43 - mmengine - INFO - Epoch(train) [74][210/327] lr: 5.000000e-04 eta: 4:21:00 time: 0.344215 data_time: 0.031045 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.915704 2023/08/09 22:32:46 - mmengine - INFO - Epoch(train) [74][220/327] lr: 5.000000e-04 eta: 4:20:57 time: 0.348131 data_time: 0.031405 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.808409 2023/08/09 22:32:50 - mmengine - INFO - Epoch(train) [74][230/327] lr: 5.000000e-04 eta: 4:20:53 time: 0.351962 data_time: 0.031454 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.848205 2023/08/09 22:32:53 - mmengine - INFO - Epoch(train) [74][240/327] lr: 5.000000e-04 eta: 4:20:50 time: 0.354091 data_time: 0.031760 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.957288 2023/08/09 22:32:57 - mmengine - INFO - Epoch(train) [74][250/327] lr: 5.000000e-04 eta: 4:20:46 time: 0.354029 data_time: 0.032146 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.871082 2023/08/09 22:33:00 - mmengine - INFO - Epoch(train) [74][260/327] lr: 5.000000e-04 eta: 4:20:42 time: 0.350261 data_time: 0.031731 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.877137 2023/08/09 22:33:04 - mmengine - INFO - Epoch(train) [74][270/327] lr: 5.000000e-04 eta: 4:20:39 time: 0.348981 data_time: 0.034315 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.916998 2023/08/09 22:33:07 - mmengine - INFO - Epoch(train) [74][280/327] lr: 5.000000e-04 eta: 4:20:35 time: 0.346229 data_time: 0.034275 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.908733 2023/08/09 22:33:11 - mmengine - INFO - Epoch(train) [74][290/327] lr: 5.000000e-04 eta: 4:20:32 time: 0.352663 data_time: 0.034813 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.883698 2023/08/09 22:33:14 - mmengine - INFO - Epoch(train) [74][300/327] lr: 5.000000e-04 eta: 4:20:28 time: 0.352482 data_time: 0.034741 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.824371 2023/08/09 22:33:18 - mmengine - INFO - Epoch(train) [74][310/327] lr: 5.000000e-04 eta: 4:20:25 time: 0.359471 data_time: 0.035049 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.864078 2023/08/09 22:33:22 - mmengine - INFO - Epoch(train) [74][320/327] lr: 5.000000e-04 eta: 4:20:22 time: 0.362964 data_time: 0.032362 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.879762 2023/08/09 22:33:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:33:28 - mmengine - INFO - Epoch(train) [75][ 10/327] lr: 5.000000e-04 eta: 4:20:16 time: 0.359663 data_time: 0.035394 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.858118 2023/08/09 22:33:31 - mmengine - INFO - Epoch(train) [75][ 20/327] lr: 5.000000e-04 eta: 4:20:12 time: 0.355868 data_time: 0.034929 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.904306 2023/08/09 22:33:35 - mmengine - INFO - Epoch(train) [75][ 30/327] lr: 5.000000e-04 eta: 4:20:09 time: 0.351663 data_time: 0.035278 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.860508 2023/08/09 22:33:38 - mmengine - INFO - Epoch(train) [75][ 40/327] lr: 5.000000e-04 eta: 4:20:05 time: 0.342654 data_time: 0.034955 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.886474 2023/08/09 22:33:41 - mmengine - INFO - Epoch(train) [75][ 50/327] lr: 5.000000e-04 eta: 4:20:01 time: 0.340401 data_time: 0.035506 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.846032 2023/08/09 22:33:45 - mmengine - INFO - Epoch(train) [75][ 60/327] lr: 5.000000e-04 eta: 4:19:57 time: 0.337510 data_time: 0.031926 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.798452 2023/08/09 22:33:48 - mmengine - INFO - Epoch(train) [75][ 70/327] lr: 5.000000e-04 eta: 4:19:54 time: 0.336437 data_time: 0.031921 memory: 4563 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.895811 2023/08/09 22:33:51 - mmengine - INFO - Epoch(train) [75][ 80/327] lr: 5.000000e-04 eta: 4:19:50 time: 0.335135 data_time: 0.031741 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.862903 2023/08/09 22:33:55 - mmengine - INFO - Epoch(train) [75][ 90/327] lr: 5.000000e-04 eta: 4:19:46 time: 0.335096 data_time: 0.032123 memory: 4563 loss: 0.000728 loss_kpt: 0.000728 acc_pose: 0.854498 2023/08/09 22:33:58 - mmengine - INFO - Epoch(train) [75][100/327] lr: 5.000000e-04 eta: 4:19:42 time: 0.334649 data_time: 0.032337 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.935484 2023/08/09 22:34:02 - mmengine - INFO - Epoch(train) [75][110/327] lr: 5.000000e-04 eta: 4:19:39 time: 0.337998 data_time: 0.035616 memory: 4563 loss: 0.000717 loss_kpt: 0.000717 acc_pose: 0.860893 2023/08/09 22:34:05 - mmengine - INFO - Epoch(train) [75][120/327] lr: 5.000000e-04 eta: 4:19:35 time: 0.341958 data_time: 0.036308 memory: 4563 loss: 0.000721 loss_kpt: 0.000721 acc_pose: 0.891494 2023/08/09 22:34:09 - mmengine - INFO - Epoch(train) [75][130/327] lr: 5.000000e-04 eta: 4:19:32 time: 0.345881 data_time: 0.036696 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.857808 2023/08/09 22:34:12 - mmengine - INFO - Epoch(train) [75][140/327] lr: 5.000000e-04 eta: 4:19:28 time: 0.347279 data_time: 0.036707 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.929782 2023/08/09 22:34:15 - mmengine - INFO - Epoch(train) [75][150/327] lr: 5.000000e-04 eta: 4:19:24 time: 0.346402 data_time: 0.036136 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.868176 2023/08/09 22:34:19 - mmengine - INFO - Epoch(train) [75][160/327] lr: 5.000000e-04 eta: 4:19:20 time: 0.342165 data_time: 0.032335 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.885107 2023/08/09 22:34:22 - mmengine - INFO - Epoch(train) [75][170/327] lr: 5.000000e-04 eta: 4:19:16 time: 0.338483 data_time: 0.031619 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.924138 2023/08/09 22:34:26 - mmengine - INFO - Epoch(train) [75][180/327] lr: 5.000000e-04 eta: 4:19:13 time: 0.337210 data_time: 0.031250 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.860797 2023/08/09 22:34:29 - mmengine - INFO - Epoch(train) [75][190/327] lr: 5.000000e-04 eta: 4:19:09 time: 0.335743 data_time: 0.030823 memory: 4563 loss: 0.000730 loss_kpt: 0.000730 acc_pose: 0.894355 2023/08/09 22:34:33 - mmengine - INFO - Epoch(train) [75][200/327] lr: 5.000000e-04 eta: 4:19:06 time: 0.341941 data_time: 0.034791 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.947352 2023/08/09 22:34:36 - mmengine - INFO - Epoch(train) [75][210/327] lr: 5.000000e-04 eta: 4:19:02 time: 0.342735 data_time: 0.034656 memory: 4563 loss: 0.000731 loss_kpt: 0.000731 acc_pose: 0.887013 2023/08/09 22:34:40 - mmengine - INFO - Epoch(train) [75][220/327] lr: 5.000000e-04 eta: 4:18:59 time: 0.347936 data_time: 0.034393 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.916963 2023/08/09 22:34:43 - mmengine - INFO - Epoch(train) [75][230/327] lr: 5.000000e-04 eta: 4:18:55 time: 0.346217 data_time: 0.033877 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.964728 2023/08/09 22:34:46 - mmengine - INFO - Epoch(train) [75][240/327] lr: 5.000000e-04 eta: 4:18:51 time: 0.347563 data_time: 0.034094 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.831897 2023/08/09 22:34:50 - mmengine - INFO - Epoch(train) [75][250/327] lr: 5.000000e-04 eta: 4:18:48 time: 0.345742 data_time: 0.030231 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.892886 2023/08/09 22:34:53 - mmengine - INFO - Epoch(train) [75][260/327] lr: 5.000000e-04 eta: 4:18:44 time: 0.345951 data_time: 0.030461 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.925447 2023/08/09 22:34:57 - mmengine - INFO - Epoch(train) [75][270/327] lr: 5.000000e-04 eta: 4:18:40 time: 0.341928 data_time: 0.030668 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.831609 2023/08/09 22:35:00 - mmengine - INFO - Epoch(train) [75][280/327] lr: 5.000000e-04 eta: 4:18:36 time: 0.341182 data_time: 0.030734 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.863390 2023/08/09 22:35:03 - mmengine - INFO - Epoch(train) [75][290/327] lr: 5.000000e-04 eta: 4:18:32 time: 0.338833 data_time: 0.030437 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.866262 2023/08/09 22:35:07 - mmengine - INFO - Epoch(train) [75][300/327] lr: 5.000000e-04 eta: 4:18:29 time: 0.334311 data_time: 0.030244 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.872664 2023/08/09 22:35:10 - mmengine - INFO - Epoch(train) [75][310/327] lr: 5.000000e-04 eta: 4:18:25 time: 0.333100 data_time: 0.030172 memory: 4563 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.857936 2023/08/09 22:35:13 - mmengine - INFO - Epoch(train) [75][320/327] lr: 5.000000e-04 eta: 4:18:21 time: 0.332045 data_time: 0.030309 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.908654 2023/08/09 22:35:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:35:19 - mmengine - INFO - Epoch(train) [76][ 10/327] lr: 5.000000e-04 eta: 4:18:15 time: 0.336094 data_time: 0.033639 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.925418 2023/08/09 22:35:23 - mmengine - INFO - Epoch(train) [76][ 20/327] lr: 5.000000e-04 eta: 4:18:11 time: 0.338391 data_time: 0.033747 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.755511 2023/08/09 22:35:26 - mmengine - INFO - Epoch(train) [76][ 30/327] lr: 5.000000e-04 eta: 4:18:07 time: 0.339883 data_time: 0.034363 memory: 4563 loss: 0.000732 loss_kpt: 0.000732 acc_pose: 0.821405 2023/08/09 22:35:30 - mmengine - INFO - Epoch(train) [76][ 40/327] lr: 5.000000e-04 eta: 4:18:04 time: 0.345140 data_time: 0.034283 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.868578 2023/08/09 22:35:33 - mmengine - INFO - Epoch(train) [76][ 50/327] lr: 5.000000e-04 eta: 4:18:01 time: 0.350953 data_time: 0.035417 memory: 4563 loss: 0.000739 loss_kpt: 0.000739 acc_pose: 0.883419 2023/08/09 22:35:36 - mmengine - INFO - Epoch(train) [76][ 60/327] lr: 5.000000e-04 eta: 4:17:57 time: 0.346632 data_time: 0.031653 memory: 4563 loss: 0.000756 loss_kpt: 0.000756 acc_pose: 0.899657 2023/08/09 22:35:40 - mmengine - INFO - Epoch(train) [76][ 70/327] lr: 5.000000e-04 eta: 4:17:53 time: 0.347913 data_time: 0.031809 memory: 4563 loss: 0.000729 loss_kpt: 0.000729 acc_pose: 0.936816 2023/08/09 22:35:43 - mmengine - INFO - Epoch(train) [76][ 80/327] lr: 5.000000e-04 eta: 4:17:50 time: 0.348983 data_time: 0.031596 memory: 4563 loss: 0.000710 loss_kpt: 0.000710 acc_pose: 0.902269 2023/08/09 22:35:47 - mmengine - INFO - Epoch(train) [76][ 90/327] lr: 5.000000e-04 eta: 4:17:46 time: 0.346180 data_time: 0.032086 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.846667 2023/08/09 22:35:50 - mmengine - INFO - Epoch(train) [76][100/327] lr: 5.000000e-04 eta: 4:17:42 time: 0.342001 data_time: 0.031884 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.884622 2023/08/09 22:35:54 - mmengine - INFO - Epoch(train) [76][110/327] lr: 5.000000e-04 eta: 4:17:39 time: 0.344100 data_time: 0.031708 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.863816 2023/08/09 22:35:57 - mmengine - INFO - Epoch(train) [76][120/327] lr: 5.000000e-04 eta: 4:17:35 time: 0.342048 data_time: 0.031766 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.886171 2023/08/09 22:36:01 - mmengine - INFO - Epoch(train) [76][130/327] lr: 5.000000e-04 eta: 4:17:31 time: 0.342840 data_time: 0.031510 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.891466 2023/08/09 22:36:04 - mmengine - INFO - Epoch(train) [76][140/327] lr: 5.000000e-04 eta: 4:17:28 time: 0.346835 data_time: 0.031120 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.938070 2023/08/09 22:36:08 - mmengine - INFO - Epoch(train) [76][150/327] lr: 5.000000e-04 eta: 4:17:24 time: 0.346904 data_time: 0.031226 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.918983 2023/08/09 22:36:11 - mmengine - INFO - Epoch(train) [76][160/327] lr: 5.000000e-04 eta: 4:17:21 time: 0.351499 data_time: 0.031398 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.809517 2023/08/09 22:36:15 - mmengine - INFO - Epoch(train) [76][170/327] lr: 5.000000e-04 eta: 4:17:18 time: 0.355370 data_time: 0.031384 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.921446 2023/08/09 22:36:18 - mmengine - INFO - Epoch(train) [76][180/327] lr: 5.000000e-04 eta: 4:17:14 time: 0.354089 data_time: 0.031976 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.940741 2023/08/09 22:36:22 - mmengine - INFO - Epoch(train) [76][190/327] lr: 5.000000e-04 eta: 4:17:11 time: 0.350887 data_time: 0.032424 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.874969 2023/08/09 22:36:25 - mmengine - INFO - Epoch(train) [76][200/327] lr: 5.000000e-04 eta: 4:17:07 time: 0.350345 data_time: 0.032264 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.890212 2023/08/09 22:36:28 - mmengine - INFO - Epoch(train) [76][210/327] lr: 5.000000e-04 eta: 4:17:03 time: 0.343858 data_time: 0.031975 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.860747 2023/08/09 22:36:32 - mmengine - INFO - Epoch(train) [76][220/327] lr: 5.000000e-04 eta: 4:16:59 time: 0.341909 data_time: 0.032148 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.846539 2023/08/09 22:36:35 - mmengine - INFO - Epoch(train) [76][230/327] lr: 5.000000e-04 eta: 4:16:56 time: 0.341402 data_time: 0.031670 memory: 4563 loss: 0.000723 loss_kpt: 0.000723 acc_pose: 0.780359 2023/08/09 22:36:39 - mmengine - INFO - Epoch(train) [76][240/327] lr: 5.000000e-04 eta: 4:16:52 time: 0.338728 data_time: 0.031130 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.966935 2023/08/09 22:36:42 - mmengine - INFO - Epoch(train) [76][250/327] lr: 5.000000e-04 eta: 4:16:48 time: 0.340988 data_time: 0.031722 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.915030 2023/08/09 22:36:46 - mmengine - INFO - Epoch(train) [76][260/327] lr: 5.000000e-04 eta: 4:16:44 time: 0.340725 data_time: 0.032464 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.893870 2023/08/09 22:36:49 - mmengine - INFO - Epoch(train) [76][270/327] lr: 5.000000e-04 eta: 4:16:41 time: 0.339641 data_time: 0.033045 memory: 4563 loss: 0.000719 loss_kpt: 0.000719 acc_pose: 0.921390 2023/08/09 22:36:52 - mmengine - INFO - Epoch(train) [76][280/327] lr: 5.000000e-04 eta: 4:16:37 time: 0.338824 data_time: 0.033318 memory: 4563 loss: 0.000715 loss_kpt: 0.000715 acc_pose: 0.868181 2023/08/09 22:36:56 - mmengine - INFO - Epoch(train) [76][290/327] lr: 5.000000e-04 eta: 4:16:33 time: 0.339636 data_time: 0.033948 memory: 4563 loss: 0.000722 loss_kpt: 0.000722 acc_pose: 0.819643 2023/08/09 22:36:59 - mmengine - INFO - Epoch(train) [76][300/327] lr: 5.000000e-04 eta: 4:16:30 time: 0.342771 data_time: 0.035296 memory: 4563 loss: 0.000727 loss_kpt: 0.000727 acc_pose: 0.848851 2023/08/09 22:37:03 - mmengine - INFO - Epoch(train) [76][310/327] lr: 5.000000e-04 eta: 4:16:27 time: 0.346516 data_time: 0.034755 memory: 4563 loss: 0.000709 loss_kpt: 0.000709 acc_pose: 0.818946 2023/08/09 22:37:06 - mmengine - INFO - Epoch(train) [76][320/327] lr: 5.000000e-04 eta: 4:16:23 time: 0.350272 data_time: 0.034179 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.863506 2023/08/09 22:37:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:37:12 - mmengine - INFO - Epoch(train) [77][ 10/327] lr: 5.000000e-04 eta: 4:16:17 time: 0.354023 data_time: 0.036498 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.932067 2023/08/09 22:37:16 - mmengine - INFO - Epoch(train) [77][ 20/327] lr: 5.000000e-04 eta: 4:16:14 time: 0.351163 data_time: 0.034523 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.928563 2023/08/09 22:37:19 - mmengine - INFO - Epoch(train) [77][ 30/327] lr: 5.000000e-04 eta: 4:16:10 time: 0.349334 data_time: 0.034081 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.872139 2023/08/09 22:37:23 - mmengine - INFO - Epoch(train) [77][ 40/327] lr: 5.000000e-04 eta: 4:16:07 time: 0.351634 data_time: 0.033942 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.853995 2023/08/09 22:37:26 - mmengine - INFO - Epoch(train) [77][ 50/327] lr: 5.000000e-04 eta: 4:16:03 time: 0.353335 data_time: 0.034587 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.891705 2023/08/09 22:37:30 - mmengine - INFO - Epoch(train) [77][ 60/327] lr: 5.000000e-04 eta: 4:15:59 time: 0.349562 data_time: 0.031150 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.905952 2023/08/09 22:37:33 - mmengine - INFO - Epoch(train) [77][ 70/327] lr: 5.000000e-04 eta: 4:15:56 time: 0.348425 data_time: 0.031443 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.940230 2023/08/09 22:37:37 - mmengine - INFO - Epoch(train) [77][ 80/327] lr: 5.000000e-04 eta: 4:15:52 time: 0.348898 data_time: 0.032091 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.904927 2023/08/09 22:37:40 - mmengine - INFO - Epoch(train) [77][ 90/327] lr: 5.000000e-04 eta: 4:15:49 time: 0.346010 data_time: 0.031978 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.847958 2023/08/09 22:37:44 - mmengine - INFO - Epoch(train) [77][100/327] lr: 5.000000e-04 eta: 4:15:45 time: 0.345236 data_time: 0.031687 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.899885 2023/08/09 22:37:47 - mmengine - INFO - Epoch(train) [77][110/327] lr: 5.000000e-04 eta: 4:15:41 time: 0.344171 data_time: 0.031658 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.916997 2023/08/09 22:37:51 - mmengine - INFO - Epoch(train) [77][120/327] lr: 5.000000e-04 eta: 4:15:38 time: 0.345806 data_time: 0.031440 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.905172 2023/08/09 22:37:54 - mmengine - INFO - Epoch(train) [77][130/327] lr: 5.000000e-04 eta: 4:15:34 time: 0.345982 data_time: 0.031700 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.882684 2023/08/09 22:37:58 - mmengine - INFO - Epoch(train) [77][140/327] lr: 5.000000e-04 eta: 4:15:31 time: 0.346192 data_time: 0.031954 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.909221 2023/08/09 22:38:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:38:01 - mmengine - INFO - Epoch(train) [77][150/327] lr: 5.000000e-04 eta: 4:15:27 time: 0.346140 data_time: 0.033200 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.892715 2023/08/09 22:38:05 - mmengine - INFO - Epoch(train) [77][160/327] lr: 5.000000e-04 eta: 4:15:24 time: 0.348776 data_time: 0.033495 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.889788 2023/08/09 22:38:08 - mmengine - INFO - Epoch(train) [77][170/327] lr: 5.000000e-04 eta: 4:15:20 time: 0.348994 data_time: 0.033250 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.876344 2023/08/09 22:38:11 - mmengine - INFO - Epoch(train) [77][180/327] lr: 5.000000e-04 eta: 4:15:16 time: 0.347957 data_time: 0.032411 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.918254 2023/08/09 22:38:15 - mmengine - INFO - Epoch(train) [77][190/327] lr: 5.000000e-04 eta: 4:15:13 time: 0.352742 data_time: 0.032414 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.844303 2023/08/09 22:38:19 - mmengine - INFO - Epoch(train) [77][200/327] lr: 5.000000e-04 eta: 4:15:10 time: 0.352292 data_time: 0.031221 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.934121 2023/08/09 22:38:22 - mmengine - INFO - Epoch(train) [77][210/327] lr: 5.000000e-04 eta: 4:15:06 time: 0.351621 data_time: 0.030800 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.913309 2023/08/09 22:38:26 - mmengine - INFO - Epoch(train) [77][220/327] lr: 5.000000e-04 eta: 4:15:02 time: 0.350453 data_time: 0.031147 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.920370 2023/08/09 22:38:29 - mmengine - INFO - Epoch(train) [77][230/327] lr: 5.000000e-04 eta: 4:14:59 time: 0.349933 data_time: 0.031505 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.924140 2023/08/09 22:38:32 - mmengine - INFO - Epoch(train) [77][240/327] lr: 5.000000e-04 eta: 4:14:55 time: 0.344529 data_time: 0.032041 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.923963 2023/08/09 22:38:36 - mmengine - INFO - Epoch(train) [77][250/327] lr: 5.000000e-04 eta: 4:14:52 time: 0.345551 data_time: 0.032962 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.902838 2023/08/09 22:38:39 - mmengine - INFO - Epoch(train) [77][260/327] lr: 5.000000e-04 eta: 4:14:48 time: 0.345702 data_time: 0.033713 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.892939 2023/08/09 22:38:43 - mmengine - INFO - Epoch(train) [77][270/327] lr: 5.000000e-04 eta: 4:14:44 time: 0.345816 data_time: 0.033639 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.940295 2023/08/09 22:38:46 - mmengine - INFO - Epoch(train) [77][280/327] lr: 5.000000e-04 eta: 4:14:41 time: 0.348261 data_time: 0.033970 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.911299 2023/08/09 22:38:50 - mmengine - INFO - Epoch(train) [77][290/327] lr: 5.000000e-04 eta: 4:14:37 time: 0.349150 data_time: 0.033091 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.891204 2023/08/09 22:38:53 - mmengine - INFO - Epoch(train) [77][300/327] lr: 5.000000e-04 eta: 4:14:34 time: 0.350087 data_time: 0.032293 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.933834 2023/08/09 22:38:57 - mmengine - INFO - Epoch(train) [77][310/327] lr: 5.000000e-04 eta: 4:14:30 time: 0.347694 data_time: 0.031629 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.939815 2023/08/09 22:39:00 - mmengine - INFO - Epoch(train) [77][320/327] lr: 5.000000e-04 eta: 4:14:27 time: 0.347252 data_time: 0.032052 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.914368 2023/08/09 22:39:03 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:39:06 - mmengine - INFO - Epoch(train) [78][ 10/327] lr: 5.000000e-04 eta: 4:14:21 time: 0.347180 data_time: 0.035318 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.848563 2023/08/09 22:39:10 - mmengine - INFO - Epoch(train) [78][ 20/327] lr: 5.000000e-04 eta: 4:14:17 time: 0.347275 data_time: 0.035411 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.867089 2023/08/09 22:39:14 - mmengine - INFO - Epoch(train) [78][ 30/327] lr: 5.000000e-04 eta: 4:14:14 time: 0.354594 data_time: 0.035974 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.907375 2023/08/09 22:39:17 - mmengine - INFO - Epoch(train) [78][ 40/327] lr: 5.000000e-04 eta: 4:14:11 time: 0.364998 data_time: 0.038876 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.880952 2023/08/09 22:39:21 - mmengine - INFO - Epoch(train) [78][ 50/327] lr: 5.000000e-04 eta: 4:14:08 time: 0.370918 data_time: 0.039350 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.857143 2023/08/09 22:39:25 - mmengine - INFO - Epoch(train) [78][ 60/327] lr: 5.000000e-04 eta: 4:14:05 time: 0.367146 data_time: 0.035201 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.834233 2023/08/09 22:39:28 - mmengine - INFO - Epoch(train) [78][ 70/327] lr: 5.000000e-04 eta: 4:14:01 time: 0.367800 data_time: 0.035614 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.850132 2023/08/09 22:39:32 - mmengine - INFO - Epoch(train) [78][ 80/327] lr: 5.000000e-04 eta: 4:13:57 time: 0.360918 data_time: 0.035312 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.918463 2023/08/09 22:39:35 - mmengine - INFO - Epoch(train) [78][ 90/327] lr: 5.000000e-04 eta: 4:13:54 time: 0.354925 data_time: 0.032021 memory: 4563 loss: 0.000725 loss_kpt: 0.000725 acc_pose: 0.886526 2023/08/09 22:39:39 - mmengine - INFO - Epoch(train) [78][100/327] lr: 5.000000e-04 eta: 4:13:51 time: 0.350501 data_time: 0.032190 memory: 4563 loss: 0.000716 loss_kpt: 0.000716 acc_pose: 0.886311 2023/08/09 22:39:42 - mmengine - INFO - Epoch(train) [78][110/327] lr: 5.000000e-04 eta: 4:13:47 time: 0.351312 data_time: 0.032149 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.896075 2023/08/09 22:39:46 - mmengine - INFO - Epoch(train) [78][120/327] lr: 5.000000e-04 eta: 4:13:43 time: 0.349636 data_time: 0.031692 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.919751 2023/08/09 22:39:49 - mmengine - INFO - Epoch(train) [78][130/327] lr: 5.000000e-04 eta: 4:13:40 time: 0.347663 data_time: 0.031304 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.855952 2023/08/09 22:39:52 - mmengine - INFO - Epoch(train) [78][140/327] lr: 5.000000e-04 eta: 4:13:36 time: 0.342549 data_time: 0.030881 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.860837 2023/08/09 22:39:56 - mmengine - INFO - Epoch(train) [78][150/327] lr: 5.000000e-04 eta: 4:13:32 time: 0.343261 data_time: 0.030820 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.931572 2023/08/09 22:39:59 - mmengine - INFO - Epoch(train) [78][160/327] lr: 5.000000e-04 eta: 4:13:29 time: 0.341791 data_time: 0.030792 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.902670 2023/08/09 22:40:03 - mmengine - INFO - Epoch(train) [78][170/327] lr: 5.000000e-04 eta: 4:13:26 time: 0.350913 data_time: 0.030984 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.883815 2023/08/09 22:40:07 - mmengine - INFO - Epoch(train) [78][180/327] lr: 5.000000e-04 eta: 4:13:23 time: 0.359037 data_time: 0.031003 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.902061 2023/08/09 22:40:11 - mmengine - INFO - Epoch(train) [78][190/327] lr: 5.000000e-04 eta: 4:13:20 time: 0.367059 data_time: 0.031230 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.890956 2023/08/09 22:40:15 - mmengine - INFO - Epoch(train) [78][200/327] lr: 5.000000e-04 eta: 4:13:17 time: 0.373643 data_time: 0.030805 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.815344 2023/08/09 22:40:18 - mmengine - INFO - Epoch(train) [78][210/327] lr: 5.000000e-04 eta: 4:13:13 time: 0.378967 data_time: 0.031140 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.943498 2023/08/09 22:40:22 - mmengine - INFO - Epoch(train) [78][220/327] lr: 5.000000e-04 eta: 4:13:11 time: 0.378701 data_time: 0.031520 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.739368 2023/08/09 22:40:26 - mmengine - INFO - Epoch(train) [78][230/327] lr: 5.000000e-04 eta: 4:13:07 time: 0.374538 data_time: 0.031836 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.907028 2023/08/09 22:40:29 - mmengine - INFO - Epoch(train) [78][240/327] lr: 5.000000e-04 eta: 4:13:04 time: 0.369050 data_time: 0.031771 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.837611 2023/08/09 22:40:33 - mmengine - INFO - Epoch(train) [78][250/327] lr: 5.000000e-04 eta: 4:13:00 time: 0.361279 data_time: 0.031857 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.923276 2023/08/09 22:40:36 - mmengine - INFO - Epoch(train) [78][260/327] lr: 5.000000e-04 eta: 4:12:56 time: 0.356722 data_time: 0.031463 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.926254 2023/08/09 22:40:40 - mmengine - INFO - Epoch(train) [78][270/327] lr: 5.000000e-04 eta: 4:12:53 time: 0.349656 data_time: 0.031404 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.823116 2023/08/09 22:40:43 - mmengine - INFO - Epoch(train) [78][280/327] lr: 5.000000e-04 eta: 4:12:50 time: 0.350505 data_time: 0.031569 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.865377 2023/08/09 22:40:47 - mmengine - INFO - Epoch(train) [78][290/327] lr: 5.000000e-04 eta: 4:12:46 time: 0.354837 data_time: 0.032123 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.900413 2023/08/09 22:40:51 - mmengine - INFO - Epoch(train) [78][300/327] lr: 5.000000e-04 eta: 4:12:43 time: 0.357922 data_time: 0.033160 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.903941 2023/08/09 22:40:54 - mmengine - INFO - Epoch(train) [78][310/327] lr: 5.000000e-04 eta: 4:12:39 time: 0.356659 data_time: 0.033216 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.831237 2023/08/09 22:40:57 - mmengine - INFO - Epoch(train) [78][320/327] lr: 5.000000e-04 eta: 4:12:36 time: 0.355406 data_time: 0.032966 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.919786 2023/08/09 22:41:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:41:03 - mmengine - INFO - Epoch(train) [79][ 10/327] lr: 5.000000e-04 eta: 4:12:30 time: 0.350619 data_time: 0.036207 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.870795 2023/08/09 22:41:07 - mmengine - INFO - Epoch(train) [79][ 20/327] lr: 5.000000e-04 eta: 4:12:26 time: 0.349410 data_time: 0.035615 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.828491 2023/08/09 22:41:11 - mmengine - INFO - Epoch(train) [79][ 30/327] lr: 5.000000e-04 eta: 4:12:23 time: 0.351355 data_time: 0.036110 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.929167 2023/08/09 22:41:14 - mmengine - INFO - Epoch(train) [79][ 40/327] lr: 5.000000e-04 eta: 4:12:19 time: 0.352176 data_time: 0.035873 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.834911 2023/08/09 22:41:17 - mmengine - INFO - Epoch(train) [79][ 50/327] lr: 5.000000e-04 eta: 4:12:16 time: 0.353455 data_time: 0.035914 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.893426 2023/08/09 22:41:21 - mmengine - INFO - Epoch(train) [79][ 60/327] lr: 5.000000e-04 eta: 4:12:12 time: 0.349319 data_time: 0.032177 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.826827 2023/08/09 22:41:24 - mmengine - INFO - Epoch(train) [79][ 70/327] lr: 5.000000e-04 eta: 4:12:09 time: 0.348489 data_time: 0.035195 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.854977 2023/08/09 22:41:28 - mmengine - INFO - Epoch(train) [79][ 80/327] lr: 5.000000e-04 eta: 4:12:05 time: 0.344859 data_time: 0.034007 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.846071 2023/08/09 22:41:31 - mmengine - INFO - Epoch(train) [79][ 90/327] lr: 5.000000e-04 eta: 4:12:02 time: 0.348685 data_time: 0.034540 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.948851 2023/08/09 22:41:35 - mmengine - INFO - Epoch(train) [79][100/327] lr: 5.000000e-04 eta: 4:11:58 time: 0.351757 data_time: 0.034985 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.905357 2023/08/09 22:41:38 - mmengine - INFO - Epoch(train) [79][110/327] lr: 5.000000e-04 eta: 4:11:55 time: 0.351625 data_time: 0.034313 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.925583 2023/08/09 22:41:42 - mmengine - INFO - Epoch(train) [79][120/327] lr: 5.000000e-04 eta: 4:11:51 time: 0.351028 data_time: 0.031590 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.898965 2023/08/09 22:41:45 - mmengine - INFO - Epoch(train) [79][130/327] lr: 5.000000e-04 eta: 4:11:47 time: 0.351679 data_time: 0.031772 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.924713 2023/08/09 22:41:49 - mmengine - INFO - Epoch(train) [79][140/327] lr: 5.000000e-04 eta: 4:11:44 time: 0.347284 data_time: 0.031507 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.866179 2023/08/09 22:41:52 - mmengine - INFO - Epoch(train) [79][150/327] lr: 5.000000e-04 eta: 4:11:40 time: 0.343813 data_time: 0.031278 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.906014 2023/08/09 22:41:56 - mmengine - INFO - Epoch(train) [79][160/327] lr: 5.000000e-04 eta: 4:11:36 time: 0.343730 data_time: 0.031443 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.868227 2023/08/09 22:41:59 - mmengine - INFO - Epoch(train) [79][170/327] lr: 5.000000e-04 eta: 4:11:33 time: 0.342546 data_time: 0.031258 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.890196 2023/08/09 22:42:02 - mmengine - INFO - Epoch(train) [79][180/327] lr: 5.000000e-04 eta: 4:11:29 time: 0.342413 data_time: 0.031150 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.916266 2023/08/09 22:42:06 - mmengine - INFO - Epoch(train) [79][190/327] lr: 5.000000e-04 eta: 4:11:26 time: 0.347786 data_time: 0.031288 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.908707 2023/08/09 22:42:10 - mmengine - INFO - Epoch(train) [79][200/327] lr: 5.000000e-04 eta: 4:11:22 time: 0.347302 data_time: 0.030878 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.899138 2023/08/09 22:42:13 - mmengine - INFO - Epoch(train) [79][210/327] lr: 5.000000e-04 eta: 4:11:19 time: 0.349569 data_time: 0.030930 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.858383 2023/08/09 22:42:17 - mmengine - INFO - Epoch(train) [79][220/327] lr: 5.000000e-04 eta: 4:11:15 time: 0.353485 data_time: 0.030736 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.931548 2023/08/09 22:42:20 - mmengine - INFO - Epoch(train) [79][230/327] lr: 5.000000e-04 eta: 4:11:12 time: 0.353794 data_time: 0.030618 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.844494 2023/08/09 22:42:24 - mmengine - INFO - Epoch(train) [79][240/327] lr: 5.000000e-04 eta: 4:11:08 time: 0.350375 data_time: 0.030404 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.853577 2023/08/09 22:42:27 - mmengine - INFO - Epoch(train) [79][250/327] lr: 5.000000e-04 eta: 4:11:05 time: 0.351984 data_time: 0.030566 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.862644 2023/08/09 22:42:31 - mmengine - INFO - Epoch(train) [79][260/327] lr: 5.000000e-04 eta: 4:11:01 time: 0.349287 data_time: 0.030273 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.939844 2023/08/09 22:42:34 - mmengine - INFO - Epoch(train) [79][270/327] lr: 5.000000e-04 eta: 4:10:57 time: 0.346270 data_time: 0.030916 memory: 4563 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.947352 2023/08/09 22:42:37 - mmengine - INFO - Epoch(train) [79][280/327] lr: 5.000000e-04 eta: 4:10:54 time: 0.345722 data_time: 0.030918 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.841763 2023/08/09 22:42:41 - mmengine - INFO - Epoch(train) [79][290/327] lr: 5.000000e-04 eta: 4:10:50 time: 0.343453 data_time: 0.030737 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.916283 2023/08/09 22:42:44 - mmengine - INFO - Epoch(train) [79][300/327] lr: 5.000000e-04 eta: 4:10:46 time: 0.341959 data_time: 0.030627 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.888752 2023/08/09 22:42:48 - mmengine - INFO - Epoch(train) [79][310/327] lr: 5.000000e-04 eta: 4:10:43 time: 0.343598 data_time: 0.030892 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.792820 2023/08/09 22:42:51 - mmengine - INFO - Epoch(train) [79][320/327] lr: 5.000000e-04 eta: 4:10:39 time: 0.345707 data_time: 0.030696 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.947927 2023/08/09 22:42:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:42:58 - mmengine - INFO - Epoch(train) [80][ 10/327] lr: 5.000000e-04 eta: 4:10:34 time: 0.353284 data_time: 0.034241 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.844782 2023/08/09 22:43:01 - mmengine - INFO - Epoch(train) [80][ 20/327] lr: 5.000000e-04 eta: 4:10:31 time: 0.361067 data_time: 0.034444 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.889929 2023/08/09 22:43:05 - mmengine - INFO - Epoch(train) [80][ 30/327] lr: 5.000000e-04 eta: 4:10:27 time: 0.361299 data_time: 0.034536 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.847414 2023/08/09 22:43:08 - mmengine - INFO - Epoch(train) [80][ 40/327] lr: 5.000000e-04 eta: 4:10:24 time: 0.358551 data_time: 0.034356 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.806034 2023/08/09 22:43:12 - mmengine - INFO - Epoch(train) [80][ 50/327] lr: 5.000000e-04 eta: 4:10:20 time: 0.359841 data_time: 0.035806 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.884433 2023/08/09 22:43:15 - mmengine - INFO - Epoch(train) [80][ 60/327] lr: 5.000000e-04 eta: 4:10:17 time: 0.354074 data_time: 0.032001 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.824408 2023/08/09 22:43:19 - mmengine - INFO - Epoch(train) [80][ 70/327] lr: 5.000000e-04 eta: 4:10:13 time: 0.347654 data_time: 0.032099 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.816711 2023/08/09 22:43:22 - mmengine - INFO - Epoch(train) [80][ 80/327] lr: 5.000000e-04 eta: 4:10:10 time: 0.350535 data_time: 0.032358 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.858893 2023/08/09 22:43:26 - mmengine - INFO - Epoch(train) [80][ 90/327] lr: 5.000000e-04 eta: 4:10:06 time: 0.348778 data_time: 0.032304 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.942888 2023/08/09 22:43:29 - mmengine - INFO - Epoch(train) [80][100/327] lr: 5.000000e-04 eta: 4:10:02 time: 0.350889 data_time: 0.032230 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.854406 2023/08/09 22:43:33 - mmengine - INFO - Epoch(train) [80][110/327] lr: 5.000000e-04 eta: 4:09:59 time: 0.349754 data_time: 0.031915 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.801232 2023/08/09 22:43:36 - mmengine - INFO - Epoch(train) [80][120/327] lr: 5.000000e-04 eta: 4:09:55 time: 0.348923 data_time: 0.032120 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.949329 2023/08/09 22:43:40 - mmengine - INFO - Epoch(train) [80][130/327] lr: 5.000000e-04 eta: 4:09:52 time: 0.348728 data_time: 0.032040 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.862378 2023/08/09 22:43:43 - mmengine - INFO - Epoch(train) [80][140/327] lr: 5.000000e-04 eta: 4:09:48 time: 0.351009 data_time: 0.031925 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.871555 2023/08/09 22:43:47 - mmengine - INFO - Epoch(train) [80][150/327] lr: 5.000000e-04 eta: 4:09:45 time: 0.353582 data_time: 0.032209 memory: 4563 loss: 0.000706 loss_kpt: 0.000706 acc_pose: 0.842490 2023/08/09 22:43:50 - mmengine - INFO - Epoch(train) [80][160/327] lr: 5.000000e-04 eta: 4:09:42 time: 0.353199 data_time: 0.032193 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.911946 2023/08/09 22:43:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:43:54 - mmengine - INFO - Epoch(train) [80][170/327] lr: 5.000000e-04 eta: 4:09:38 time: 0.359038 data_time: 0.031961 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.897044 2023/08/09 22:43:58 - mmengine - INFO - Epoch(train) [80][180/327] lr: 5.000000e-04 eta: 4:09:35 time: 0.364447 data_time: 0.031835 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.868437 2023/08/09 22:44:02 - mmengine - INFO - Epoch(train) [80][190/327] lr: 5.000000e-04 eta: 4:09:32 time: 0.365247 data_time: 0.032002 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.871446 2023/08/09 22:44:05 - mmengine - INFO - Epoch(train) [80][200/327] lr: 5.000000e-04 eta: 4:09:28 time: 0.361893 data_time: 0.032206 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.894624 2023/08/09 22:44:08 - mmengine - INFO - Epoch(train) [80][210/327] lr: 5.000000e-04 eta: 4:09:25 time: 0.361149 data_time: 0.031830 memory: 4563 loss: 0.000738 loss_kpt: 0.000738 acc_pose: 0.873099 2023/08/09 22:44:12 - mmengine - INFO - Epoch(train) [80][220/327] lr: 5.000000e-04 eta: 4:09:21 time: 0.358453 data_time: 0.032141 memory: 4563 loss: 0.000741 loss_kpt: 0.000741 acc_pose: 0.916073 2023/08/09 22:44:16 - mmengine - INFO - Epoch(train) [80][230/327] lr: 5.000000e-04 eta: 4:09:18 time: 0.352731 data_time: 0.031703 memory: 4563 loss: 0.000748 loss_kpt: 0.000748 acc_pose: 0.828593 2023/08/09 22:44:19 - mmengine - INFO - Epoch(train) [80][240/327] lr: 5.000000e-04 eta: 4:09:14 time: 0.351108 data_time: 0.031491 memory: 4563 loss: 0.000764 loss_kpt: 0.000764 acc_pose: 0.823677 2023/08/09 22:44:22 - mmengine - INFO - Epoch(train) [80][250/327] lr: 5.000000e-04 eta: 4:09:11 time: 0.349201 data_time: 0.030600 memory: 4563 loss: 0.000733 loss_kpt: 0.000733 acc_pose: 0.858876 2023/08/09 22:44:26 - mmengine - INFO - Epoch(train) [80][260/327] lr: 5.000000e-04 eta: 4:09:07 time: 0.352504 data_time: 0.034009 memory: 4563 loss: 0.000726 loss_kpt: 0.000726 acc_pose: 0.877963 2023/08/09 22:44:30 - mmengine - INFO - Epoch(train) [80][270/327] lr: 5.000000e-04 eta: 4:09:04 time: 0.351568 data_time: 0.033563 memory: 4563 loss: 0.000718 loss_kpt: 0.000718 acc_pose: 0.855820 2023/08/09 22:44:33 - mmengine - INFO - Epoch(train) [80][280/327] lr: 5.000000e-04 eta: 4:09:01 time: 0.355798 data_time: 0.034258 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.891697 2023/08/09 22:44:37 - mmengine - INFO - Epoch(train) [80][290/327] lr: 5.000000e-04 eta: 4:08:57 time: 0.355436 data_time: 0.034417 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.878094 2023/08/09 22:44:40 - mmengine - INFO - Epoch(train) [80][300/327] lr: 5.000000e-04 eta: 4:08:53 time: 0.355109 data_time: 0.034583 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.871787 2023/08/09 22:44:44 - mmengine - INFO - Epoch(train) [80][310/327] lr: 5.000000e-04 eta: 4:08:50 time: 0.350470 data_time: 0.031617 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.872989 2023/08/09 22:44:47 - mmengine - INFO - Epoch(train) [80][320/327] lr: 5.000000e-04 eta: 4:08:46 time: 0.348658 data_time: 0.032136 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.865858 2023/08/09 22:44:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:44:49 - mmengine - INFO - Saving checkpoint at 80 epochs 2023/08/09 22:44:55 - mmengine - INFO - Epoch(val) [80][10/79] eta: 0:00:14 time: 0.204724 data_time: 0.019036 memory: 4563 2023/08/09 22:44:57 - mmengine - INFO - Epoch(val) [80][20/79] eta: 0:00:11 time: 0.199497 data_time: 0.014840 memory: 1634 2023/08/09 22:44:59 - mmengine - INFO - Epoch(val) [80][30/79] eta: 0:00:09 time: 0.197392 data_time: 0.013729 memory: 1634 2023/08/09 22:45:01 - mmengine - INFO - Epoch(val) [80][40/79] eta: 0:00:07 time: 0.197126 data_time: 0.013791 memory: 1634 2023/08/09 22:45:03 - mmengine - INFO - Epoch(val) [80][50/79] eta: 0:00:05 time: 0.198523 data_time: 0.013685 memory: 1634 2023/08/09 22:45:05 - mmengine - INFO - Epoch(val) [80][60/79] eta: 0:00:03 time: 0.195460 data_time: 0.011460 memory: 1634 2023/08/09 22:45:07 - mmengine - INFO - Epoch(val) [80][70/79] eta: 0:00:01 time: 0.195388 data_time: 0.011422 memory: 1634 2023/08/09 22:45:09 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 22:45:09 - mmengine - INFO - Evaluating AUC... 2023/08/09 22:45:09 - mmengine - INFO - Evaluating EPE... 2023/08/09 22:45:09 - mmengine - INFO - Epoch(val) [80][79/79] PCK: 0.976846 AUC: 0.753203 EPE: 9.199336 data_time: 0.012531 time: 0.194604 2023/08/09 22:45:09 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_60.pth is removed 2023/08/09 22:45:11 - mmengine - INFO - The best checkpoint with 0.7532 AUC at 80 epoch is saved to best_AUC_epoch_80.pth. 2023/08/09 22:45:18 - mmengine - INFO - Epoch(train) [81][ 10/327] lr: 5.000000e-04 eta: 4:08:40 time: 0.342280 data_time: 0.035080 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.882040 2023/08/09 22:45:22 - mmengine - INFO - Epoch(train) [81][ 20/327] lr: 5.000000e-04 eta: 4:08:36 time: 0.343332 data_time: 0.035655 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.918190 2023/08/09 22:45:25 - mmengine - INFO - Epoch(train) [81][ 30/327] lr: 5.000000e-04 eta: 4:08:33 time: 0.344758 data_time: 0.035698 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.904187 2023/08/09 22:45:29 - mmengine - INFO - Epoch(train) [81][ 40/327] lr: 5.000000e-04 eta: 4:08:29 time: 0.345850 data_time: 0.035661 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.932393 2023/08/09 22:45:32 - mmengine - INFO - Epoch(train) [81][ 50/327] lr: 5.000000e-04 eta: 4:08:26 time: 0.347076 data_time: 0.035959 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.913665 2023/08/09 22:45:36 - mmengine - INFO - Epoch(train) [81][ 60/327] lr: 5.000000e-04 eta: 4:08:22 time: 0.348397 data_time: 0.032191 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.956876 2023/08/09 22:45:39 - mmengine - INFO - Epoch(train) [81][ 70/327] lr: 5.000000e-04 eta: 4:08:19 time: 0.357355 data_time: 0.031380 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.930686 2023/08/09 22:45:43 - mmengine - INFO - Epoch(train) [81][ 80/327] lr: 5.000000e-04 eta: 4:08:16 time: 0.362099 data_time: 0.031149 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.933763 2023/08/09 22:45:47 - mmengine - INFO - Epoch(train) [81][ 90/327] lr: 5.000000e-04 eta: 4:08:13 time: 0.361982 data_time: 0.030974 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.822245 2023/08/09 22:45:50 - mmengine - INFO - Epoch(train) [81][100/327] lr: 5.000000e-04 eta: 4:08:09 time: 0.362102 data_time: 0.030762 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.904782 2023/08/09 22:45:53 - mmengine - INFO - Epoch(train) [81][110/327] lr: 5.000000e-04 eta: 4:08:05 time: 0.357432 data_time: 0.030719 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.905500 2023/08/09 22:45:57 - mmengine - INFO - Epoch(train) [81][120/327] lr: 5.000000e-04 eta: 4:08:02 time: 0.347539 data_time: 0.031585 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.916092 2023/08/09 22:46:00 - mmengine - INFO - Epoch(train) [81][130/327] lr: 5.000000e-04 eta: 4:07:58 time: 0.341979 data_time: 0.031839 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.879183 2023/08/09 22:46:04 - mmengine - INFO - Epoch(train) [81][140/327] lr: 5.000000e-04 eta: 4:07:54 time: 0.341006 data_time: 0.031747 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.892450 2023/08/09 22:46:07 - mmengine - INFO - Epoch(train) [81][150/327] lr: 5.000000e-04 eta: 4:07:51 time: 0.344289 data_time: 0.031556 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.844253 2023/08/09 22:46:11 - mmengine - INFO - Epoch(train) [81][160/327] lr: 5.000000e-04 eta: 4:07:47 time: 0.345006 data_time: 0.031684 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.862434 2023/08/09 22:46:14 - mmengine - INFO - Epoch(train) [81][170/327] lr: 5.000000e-04 eta: 4:07:43 time: 0.344372 data_time: 0.030865 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.877842 2023/08/09 22:46:18 - mmengine - INFO - Epoch(train) [81][180/327] lr: 5.000000e-04 eta: 4:07:40 time: 0.345469 data_time: 0.030679 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.949223 2023/08/09 22:46:21 - mmengine - INFO - Epoch(train) [81][190/327] lr: 5.000000e-04 eta: 4:07:36 time: 0.345236 data_time: 0.030427 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.930026 2023/08/09 22:46:24 - mmengine - INFO - Epoch(train) [81][200/327] lr: 5.000000e-04 eta: 4:07:32 time: 0.341327 data_time: 0.030426 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.938932 2023/08/09 22:46:28 - mmengine - INFO - Epoch(train) [81][210/327] lr: 5.000000e-04 eta: 4:07:29 time: 0.342178 data_time: 0.030176 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.867013 2023/08/09 22:46:32 - mmengine - INFO - Epoch(train) [81][220/327] lr: 5.000000e-04 eta: 4:07:26 time: 0.352631 data_time: 0.030403 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.956260 2023/08/09 22:46:36 - mmengine - INFO - Epoch(train) [81][230/327] lr: 5.000000e-04 eta: 4:07:23 time: 0.361608 data_time: 0.031647 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.870003 2023/08/09 22:46:39 - mmengine - INFO - Epoch(train) [81][240/327] lr: 5.000000e-04 eta: 4:07:20 time: 0.369680 data_time: 0.033178 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.918580 2023/08/09 22:46:43 - mmengine - INFO - Epoch(train) [81][250/327] lr: 5.000000e-04 eta: 4:07:17 time: 0.372866 data_time: 0.033248 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.858021 2023/08/09 22:46:46 - mmengine - INFO - Epoch(train) [81][260/327] lr: 5.000000e-04 eta: 4:07:13 time: 0.370234 data_time: 0.033166 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.915708 2023/08/09 22:46:50 - mmengine - INFO - Epoch(train) [81][270/327] lr: 5.000000e-04 eta: 4:07:09 time: 0.360418 data_time: 0.032984 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.939901 2023/08/09 22:46:53 - mmengine - INFO - Epoch(train) [81][280/327] lr: 5.000000e-04 eta: 4:07:06 time: 0.356144 data_time: 0.032158 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.856792 2023/08/09 22:46:57 - mmengine - INFO - Epoch(train) [81][290/327] lr: 5.000000e-04 eta: 4:07:03 time: 0.356963 data_time: 0.034020 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.878673 2023/08/09 22:47:01 - mmengine - INFO - Epoch(train) [81][300/327] lr: 5.000000e-04 eta: 4:07:00 time: 0.358227 data_time: 0.034264 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.952966 2023/08/09 22:47:04 - mmengine - INFO - Epoch(train) [81][310/327] lr: 5.000000e-04 eta: 4:06:56 time: 0.362047 data_time: 0.034226 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.931281 2023/08/09 22:47:08 - mmengine - INFO - Epoch(train) [81][320/327] lr: 5.000000e-04 eta: 4:06:53 time: 0.364477 data_time: 0.034763 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.894841 2023/08/09 22:47:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:47:14 - mmengine - INFO - Epoch(train) [82][ 10/327] lr: 5.000000e-04 eta: 4:06:47 time: 0.351267 data_time: 0.033843 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.899471 2023/08/09 22:47:17 - mmengine - INFO - Epoch(train) [82][ 20/327] lr: 5.000000e-04 eta: 4:06:43 time: 0.348309 data_time: 0.033464 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.867204 2023/08/09 22:47:20 - mmengine - INFO - Epoch(train) [82][ 30/327] lr: 5.000000e-04 eta: 4:06:39 time: 0.341025 data_time: 0.033480 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.896640 2023/08/09 22:47:24 - mmengine - INFO - Epoch(train) [82][ 40/327] lr: 5.000000e-04 eta: 4:06:35 time: 0.339657 data_time: 0.033298 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.899525 2023/08/09 22:47:27 - mmengine - INFO - Epoch(train) [82][ 50/327] lr: 5.000000e-04 eta: 4:06:32 time: 0.343668 data_time: 0.035184 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.942791 2023/08/09 22:47:31 - mmengine - INFO - Epoch(train) [82][ 60/327] lr: 5.000000e-04 eta: 4:06:28 time: 0.341058 data_time: 0.031600 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.915715 2023/08/09 22:47:34 - mmengine - INFO - Epoch(train) [82][ 70/327] lr: 5.000000e-04 eta: 4:06:24 time: 0.342111 data_time: 0.031587 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.857623 2023/08/09 22:47:38 - mmengine - INFO - Epoch(train) [82][ 80/327] lr: 5.000000e-04 eta: 4:06:21 time: 0.342161 data_time: 0.031819 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.896757 2023/08/09 22:47:41 - mmengine - INFO - Epoch(train) [82][ 90/327] lr: 5.000000e-04 eta: 4:06:17 time: 0.339210 data_time: 0.031836 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.917728 2023/08/09 22:47:44 - mmengine - INFO - Epoch(train) [82][100/327] lr: 5.000000e-04 eta: 4:06:13 time: 0.335590 data_time: 0.031216 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.937454 2023/08/09 22:47:48 - mmengine - INFO - Epoch(train) [82][110/327] lr: 5.000000e-04 eta: 4:06:09 time: 0.335024 data_time: 0.031398 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.851980 2023/08/09 22:47:51 - mmengine - INFO - Epoch(train) [82][120/327] lr: 5.000000e-04 eta: 4:06:06 time: 0.338812 data_time: 0.032207 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.814347 2023/08/09 22:47:55 - mmengine - INFO - Epoch(train) [82][130/327] lr: 5.000000e-04 eta: 4:06:03 time: 0.351076 data_time: 0.031965 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.892728 2023/08/09 22:47:59 - mmengine - INFO - Epoch(train) [82][140/327] lr: 5.000000e-04 eta: 4:06:00 time: 0.353049 data_time: 0.032218 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.912802 2023/08/09 22:48:02 - mmengine - INFO - Epoch(train) [82][150/327] lr: 5.000000e-04 eta: 4:05:56 time: 0.355077 data_time: 0.032034 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.939240 2023/08/09 22:48:06 - mmengine - INFO - Epoch(train) [82][160/327] lr: 5.000000e-04 eta: 4:05:52 time: 0.357545 data_time: 0.034614 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.941014 2023/08/09 22:48:09 - mmengine - INFO - Epoch(train) [82][170/327] lr: 5.000000e-04 eta: 4:05:49 time: 0.353661 data_time: 0.034063 memory: 4563 loss: 0.000724 loss_kpt: 0.000724 acc_pose: 0.869854 2023/08/09 22:48:12 - mmengine - INFO - Epoch(train) [82][180/327] lr: 5.000000e-04 eta: 4:05:45 time: 0.342524 data_time: 0.034399 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.950806 2023/08/09 22:48:16 - mmengine - INFO - Epoch(train) [82][190/327] lr: 5.000000e-04 eta: 4:05:42 time: 0.345950 data_time: 0.034492 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.957163 2023/08/09 22:48:19 - mmengine - INFO - Epoch(train) [82][200/327] lr: 5.000000e-04 eta: 4:05:38 time: 0.346486 data_time: 0.034525 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.863618 2023/08/09 22:48:23 - mmengine - INFO - Epoch(train) [82][210/327] lr: 5.000000e-04 eta: 4:05:34 time: 0.345231 data_time: 0.031874 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.875000 2023/08/09 22:48:26 - mmengine - INFO - Epoch(train) [82][220/327] lr: 5.000000e-04 eta: 4:05:31 time: 0.344109 data_time: 0.032103 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.962912 2023/08/09 22:48:29 - mmengine - INFO - Epoch(train) [82][230/327] lr: 5.000000e-04 eta: 4:05:27 time: 0.342268 data_time: 0.031764 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.779857 2023/08/09 22:48:33 - mmengine - INFO - Epoch(train) [82][240/327] lr: 5.000000e-04 eta: 4:05:23 time: 0.335726 data_time: 0.030996 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.959121 2023/08/09 22:48:36 - mmengine - INFO - Epoch(train) [82][250/327] lr: 5.000000e-04 eta: 4:05:19 time: 0.334079 data_time: 0.030846 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.844205 2023/08/09 22:48:40 - mmengine - INFO - Epoch(train) [82][260/327] lr: 5.000000e-04 eta: 4:05:16 time: 0.339239 data_time: 0.031528 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.843695 2023/08/09 22:48:43 - mmengine - INFO - Epoch(train) [82][270/327] lr: 5.000000e-04 eta: 4:05:12 time: 0.340159 data_time: 0.031209 memory: 4563 loss: 0.000705 loss_kpt: 0.000705 acc_pose: 0.927015 2023/08/09 22:48:47 - mmengine - INFO - Epoch(train) [82][280/327] lr: 5.000000e-04 eta: 4:05:09 time: 0.343399 data_time: 0.031781 memory: 4563 loss: 0.000703 loss_kpt: 0.000703 acc_pose: 0.853510 2023/08/09 22:48:50 - mmengine - INFO - Epoch(train) [82][290/327] lr: 5.000000e-04 eta: 4:05:05 time: 0.345164 data_time: 0.031989 memory: 4563 loss: 0.000700 loss_kpt: 0.000700 acc_pose: 0.908131 2023/08/09 22:48:53 - mmengine - INFO - Epoch(train) [82][300/327] lr: 5.000000e-04 eta: 4:05:01 time: 0.345262 data_time: 0.031971 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.864368 2023/08/09 22:48:57 - mmengine - INFO - Epoch(train) [82][310/327] lr: 5.000000e-04 eta: 4:04:57 time: 0.337531 data_time: 0.030720 memory: 4563 loss: 0.000695 loss_kpt: 0.000695 acc_pose: 0.884946 2023/08/09 22:49:00 - mmengine - INFO - Epoch(train) [82][320/327] lr: 5.000000e-04 eta: 4:04:54 time: 0.338173 data_time: 0.030797 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.858547 2023/08/09 22:49:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:49:06 - mmengine - INFO - Epoch(train) [83][ 10/327] lr: 5.000000e-04 eta: 4:04:48 time: 0.349058 data_time: 0.034166 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.899280 2023/08/09 22:49:10 - mmengine - INFO - Epoch(train) [83][ 20/327] lr: 5.000000e-04 eta: 4:04:45 time: 0.351985 data_time: 0.034727 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.870482 2023/08/09 22:49:13 - mmengine - INFO - Epoch(train) [83][ 30/327] lr: 5.000000e-04 eta: 4:04:41 time: 0.353683 data_time: 0.035039 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.870437 2023/08/09 22:49:17 - mmengine - INFO - Epoch(train) [83][ 40/327] lr: 5.000000e-04 eta: 4:04:38 time: 0.358741 data_time: 0.035194 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.922103 2023/08/09 22:49:20 - mmengine - INFO - Epoch(train) [83][ 50/327] lr: 5.000000e-04 eta: 4:04:34 time: 0.358762 data_time: 0.035866 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.905172 2023/08/09 22:49:24 - mmengine - INFO - Epoch(train) [83][ 60/327] lr: 5.000000e-04 eta: 4:04:30 time: 0.343332 data_time: 0.032133 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.938314 2023/08/09 22:49:27 - mmengine - INFO - Epoch(train) [83][ 70/327] lr: 5.000000e-04 eta: 4:04:26 time: 0.340247 data_time: 0.031901 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.943175 2023/08/09 22:49:30 - mmengine - INFO - Epoch(train) [83][ 80/327] lr: 5.000000e-04 eta: 4:04:23 time: 0.339398 data_time: 0.031929 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.843596 2023/08/09 22:49:34 - mmengine - INFO - Epoch(train) [83][ 90/327] lr: 5.000000e-04 eta: 4:04:19 time: 0.334127 data_time: 0.031817 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.895767 2023/08/09 22:49:37 - mmengine - INFO - Epoch(train) [83][100/327] lr: 5.000000e-04 eta: 4:04:15 time: 0.336088 data_time: 0.031633 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.982738 2023/08/09 22:49:40 - mmengine - INFO - Epoch(train) [83][110/327] lr: 5.000000e-04 eta: 4:04:11 time: 0.337338 data_time: 0.031174 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.917686 2023/08/09 22:49:44 - mmengine - INFO - Epoch(train) [83][120/327] lr: 5.000000e-04 eta: 4:04:08 time: 0.336852 data_time: 0.031001 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.832629 2023/08/09 22:49:47 - mmengine - INFO - Epoch(train) [83][130/327] lr: 5.000000e-04 eta: 4:04:04 time: 0.335947 data_time: 0.030905 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.898855 2023/08/09 22:49:51 - mmengine - INFO - Epoch(train) [83][140/327] lr: 5.000000e-04 eta: 4:04:00 time: 0.336555 data_time: 0.031042 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.866995 2023/08/09 22:49:54 - mmengine - INFO - Epoch(train) [83][150/327] lr: 5.000000e-04 eta: 4:03:56 time: 0.336332 data_time: 0.030882 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.904187 2023/08/09 22:49:57 - mmengine - INFO - Epoch(train) [83][160/327] lr: 5.000000e-04 eta: 4:03:53 time: 0.337553 data_time: 0.030930 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.885160 2023/08/09 22:50:01 - mmengine - INFO - Epoch(train) [83][170/327] lr: 5.000000e-04 eta: 4:03:49 time: 0.341339 data_time: 0.031478 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.882030 2023/08/09 22:50:04 - mmengine - INFO - Epoch(train) [83][180/327] lr: 5.000000e-04 eta: 4:03:46 time: 0.343946 data_time: 0.032027 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.889080 2023/08/09 22:50:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:50:08 - mmengine - INFO - Epoch(train) [83][190/327] lr: 5.000000e-04 eta: 4:03:42 time: 0.347721 data_time: 0.035000 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.877778 2023/08/09 22:50:11 - mmengine - INFO - Epoch(train) [83][200/327] lr: 5.000000e-04 eta: 4:03:39 time: 0.347741 data_time: 0.035272 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.946999 2023/08/09 22:50:15 - mmengine - INFO - Epoch(train) [83][210/327] lr: 5.000000e-04 eta: 4:03:35 time: 0.346149 data_time: 0.035113 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.838651 2023/08/09 22:50:18 - mmengine - INFO - Epoch(train) [83][220/327] lr: 5.000000e-04 eta: 4:03:31 time: 0.344093 data_time: 0.034646 memory: 4563 loss: 0.000712 loss_kpt: 0.000712 acc_pose: 0.894374 2023/08/09 22:50:22 - mmengine - INFO - Epoch(train) [83][230/327] lr: 5.000000e-04 eta: 4:03:28 time: 0.345216 data_time: 0.034648 memory: 4563 loss: 0.000699 loss_kpt: 0.000699 acc_pose: 0.878900 2023/08/09 22:50:25 - mmengine - INFO - Epoch(train) [83][240/327] lr: 5.000000e-04 eta: 4:03:24 time: 0.342745 data_time: 0.031773 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.898159 2023/08/09 22:50:29 - mmengine - INFO - Epoch(train) [83][250/327] lr: 5.000000e-04 eta: 4:03:21 time: 0.347761 data_time: 0.031570 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.963341 2023/08/09 22:50:32 - mmengine - INFO - Epoch(train) [83][260/327] lr: 5.000000e-04 eta: 4:03:17 time: 0.348796 data_time: 0.031654 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.948787 2023/08/09 22:50:36 - mmengine - INFO - Epoch(train) [83][270/327] lr: 5.000000e-04 eta: 4:03:14 time: 0.348656 data_time: 0.031475 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.767998 2023/08/09 22:50:39 - mmengine - INFO - Epoch(train) [83][280/327] lr: 5.000000e-04 eta: 4:03:10 time: 0.345934 data_time: 0.030769 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.941663 2023/08/09 22:50:42 - mmengine - INFO - Epoch(train) [83][290/327] lr: 5.000000e-04 eta: 4:03:06 time: 0.348268 data_time: 0.030941 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.885173 2023/08/09 22:50:46 - mmengine - INFO - Epoch(train) [83][300/327] lr: 5.000000e-04 eta: 4:03:03 time: 0.344875 data_time: 0.031113 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.915767 2023/08/09 22:50:50 - mmengine - INFO - Epoch(train) [83][310/327] lr: 5.000000e-04 eta: 4:03:00 time: 0.349836 data_time: 0.031441 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.890517 2023/08/09 22:50:53 - mmengine - INFO - Epoch(train) [83][320/327] lr: 5.000000e-04 eta: 4:02:56 time: 0.353355 data_time: 0.031901 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.912046 2023/08/09 22:50:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:50:59 - mmengine - INFO - Epoch(train) [84][ 10/327] lr: 5.000000e-04 eta: 4:02:51 time: 0.358205 data_time: 0.035577 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.878988 2023/08/09 22:51:03 - mmengine - INFO - Epoch(train) [84][ 20/327] lr: 5.000000e-04 eta: 4:02:47 time: 0.361728 data_time: 0.035707 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.940150 2023/08/09 22:51:07 - mmengine - INFO - Epoch(train) [84][ 30/327] lr: 5.000000e-04 eta: 4:02:44 time: 0.358407 data_time: 0.035911 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.872701 2023/08/09 22:51:10 - mmengine - INFO - Epoch(train) [84][ 40/327] lr: 5.000000e-04 eta: 4:02:40 time: 0.360667 data_time: 0.039067 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.881362 2023/08/09 22:51:14 - mmengine - INFO - Epoch(train) [84][ 50/327] lr: 5.000000e-04 eta: 4:02:37 time: 0.361253 data_time: 0.039787 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.895498 2023/08/09 22:51:17 - mmengine - INFO - Epoch(train) [84][ 60/327] lr: 5.000000e-04 eta: 4:02:33 time: 0.352969 data_time: 0.036297 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.926418 2023/08/09 22:51:21 - mmengine - INFO - Epoch(train) [84][ 70/327] lr: 5.000000e-04 eta: 4:02:30 time: 0.349657 data_time: 0.036486 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.946958 2023/08/09 22:51:24 - mmengine - INFO - Epoch(train) [84][ 80/327] lr: 5.000000e-04 eta: 4:02:26 time: 0.348818 data_time: 0.036287 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.880952 2023/08/09 22:51:27 - mmengine - INFO - Epoch(train) [84][ 90/327] lr: 5.000000e-04 eta: 4:02:22 time: 0.345521 data_time: 0.032845 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.853655 2023/08/09 22:51:31 - mmengine - INFO - Epoch(train) [84][100/327] lr: 5.000000e-04 eta: 4:02:19 time: 0.348013 data_time: 0.032228 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.858797 2023/08/09 22:51:35 - mmengine - INFO - Epoch(train) [84][110/327] lr: 5.000000e-04 eta: 4:02:16 time: 0.354432 data_time: 0.031722 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.906609 2023/08/09 22:51:38 - mmengine - INFO - Epoch(train) [84][120/327] lr: 5.000000e-04 eta: 4:02:12 time: 0.354937 data_time: 0.030920 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.944984 2023/08/09 22:51:42 - mmengine - INFO - Epoch(train) [84][130/327] lr: 5.000000e-04 eta: 4:02:09 time: 0.353387 data_time: 0.030651 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.877151 2023/08/09 22:51:45 - mmengine - INFO - Epoch(train) [84][140/327] lr: 5.000000e-04 eta: 4:02:06 time: 0.358251 data_time: 0.031171 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.947528 2023/08/09 22:51:49 - mmengine - INFO - Epoch(train) [84][150/327] lr: 5.000000e-04 eta: 4:02:02 time: 0.355921 data_time: 0.031280 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.882684 2023/08/09 22:51:52 - mmengine - INFO - Epoch(train) [84][160/327] lr: 5.000000e-04 eta: 4:01:58 time: 0.346794 data_time: 0.031207 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.933147 2023/08/09 22:51:55 - mmengine - INFO - Epoch(train) [84][170/327] lr: 5.000000e-04 eta: 4:01:54 time: 0.342767 data_time: 0.031056 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.900959 2023/08/09 22:51:59 - mmengine - INFO - Epoch(train) [84][180/327] lr: 5.000000e-04 eta: 4:01:50 time: 0.342845 data_time: 0.031563 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.790538 2023/08/09 22:52:02 - mmengine - INFO - Epoch(train) [84][190/327] lr: 5.000000e-04 eta: 4:01:47 time: 0.338642 data_time: 0.031590 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.888709 2023/08/09 22:52:06 - mmengine - INFO - Epoch(train) [84][200/327] lr: 5.000000e-04 eta: 4:01:43 time: 0.338339 data_time: 0.031627 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.895557 2023/08/09 22:52:09 - mmengine - INFO - Epoch(train) [84][210/327] lr: 5.000000e-04 eta: 4:01:40 time: 0.340380 data_time: 0.031894 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.892857 2023/08/09 22:52:13 - mmengine - INFO - Epoch(train) [84][220/327] lr: 5.000000e-04 eta: 4:01:36 time: 0.343346 data_time: 0.031807 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.939347 2023/08/09 22:52:16 - mmengine - INFO - Epoch(train) [84][230/327] lr: 5.000000e-04 eta: 4:01:32 time: 0.343327 data_time: 0.031111 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.854029 2023/08/09 22:52:19 - mmengine - INFO - Epoch(train) [84][240/327] lr: 5.000000e-04 eta: 4:01:29 time: 0.338966 data_time: 0.030392 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.874601 2023/08/09 22:52:23 - mmengine - INFO - Epoch(train) [84][250/327] lr: 5.000000e-04 eta: 4:01:25 time: 0.339718 data_time: 0.030317 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.905556 2023/08/09 22:52:26 - mmengine - INFO - Epoch(train) [84][260/327] lr: 5.000000e-04 eta: 4:01:21 time: 0.340095 data_time: 0.030522 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.913633 2023/08/09 22:52:30 - mmengine - INFO - Epoch(train) [84][270/327] lr: 5.000000e-04 eta: 4:01:18 time: 0.340259 data_time: 0.030835 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.869766 2023/08/09 22:52:33 - mmengine - INFO - Epoch(train) [84][280/327] lr: 5.000000e-04 eta: 4:01:14 time: 0.343567 data_time: 0.031372 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.864994 2023/08/09 22:52:36 - mmengine - INFO - Epoch(train) [84][290/327] lr: 5.000000e-04 eta: 4:01:11 time: 0.344355 data_time: 0.031395 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.828815 2023/08/09 22:52:40 - mmengine - INFO - Epoch(train) [84][300/327] lr: 5.000000e-04 eta: 4:01:07 time: 0.346813 data_time: 0.031352 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.845917 2023/08/09 22:52:43 - mmengine - INFO - Epoch(train) [84][310/327] lr: 5.000000e-04 eta: 4:01:03 time: 0.345676 data_time: 0.031260 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.944625 2023/08/09 22:52:47 - mmengine - INFO - Epoch(train) [84][320/327] lr: 5.000000e-04 eta: 4:01:00 time: 0.343923 data_time: 0.032370 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.869155 2023/08/09 22:52:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:52:53 - mmengine - INFO - Epoch(train) [85][ 10/327] lr: 5.000000e-04 eta: 4:00:54 time: 0.344589 data_time: 0.036140 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.855127 2023/08/09 22:52:56 - mmengine - INFO - Epoch(train) [85][ 20/327] lr: 5.000000e-04 eta: 4:00:50 time: 0.344711 data_time: 0.036570 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.937785 2023/08/09 22:52:59 - mmengine - INFO - Epoch(train) [85][ 30/327] lr: 5.000000e-04 eta: 4:00:46 time: 0.341222 data_time: 0.036484 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.947927 2023/08/09 22:53:03 - mmengine - INFO - Epoch(train) [85][ 40/327] lr: 5.000000e-04 eta: 4:00:43 time: 0.341826 data_time: 0.035568 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.895632 2023/08/09 22:53:06 - mmengine - INFO - Epoch(train) [85][ 50/327] lr: 5.000000e-04 eta: 4:00:39 time: 0.343712 data_time: 0.035728 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.858601 2023/08/09 22:53:10 - mmengine - INFO - Epoch(train) [85][ 60/327] lr: 5.000000e-04 eta: 4:00:35 time: 0.337751 data_time: 0.031035 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.851613 2023/08/09 22:53:13 - mmengine - INFO - Epoch(train) [85][ 70/327] lr: 5.000000e-04 eta: 4:00:31 time: 0.336882 data_time: 0.030851 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.886549 2023/08/09 22:53:16 - mmengine - INFO - Epoch(train) [85][ 80/327] lr: 5.000000e-04 eta: 4:00:28 time: 0.337560 data_time: 0.030915 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.840137 2023/08/09 22:53:20 - mmengine - INFO - Epoch(train) [85][ 90/327] lr: 5.000000e-04 eta: 4:00:24 time: 0.336980 data_time: 0.031131 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.926327 2023/08/09 22:53:23 - mmengine - INFO - Epoch(train) [85][100/327] lr: 5.000000e-04 eta: 4:00:20 time: 0.337811 data_time: 0.031434 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.951613 2023/08/09 22:53:27 - mmengine - INFO - Epoch(train) [85][110/327] lr: 5.000000e-04 eta: 4:00:17 time: 0.342615 data_time: 0.034761 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.867212 2023/08/09 22:53:30 - mmengine - INFO - Epoch(train) [85][120/327] lr: 5.000000e-04 eta: 4:00:13 time: 0.342876 data_time: 0.035142 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.967204 2023/08/09 22:53:33 - mmengine - INFO - Epoch(train) [85][130/327] lr: 5.000000e-04 eta: 4:00:09 time: 0.341657 data_time: 0.035503 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.914286 2023/08/09 22:53:37 - mmengine - INFO - Epoch(train) [85][140/327] lr: 5.000000e-04 eta: 4:00:06 time: 0.341757 data_time: 0.035929 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.937727 2023/08/09 22:53:40 - mmengine - INFO - Epoch(train) [85][150/327] lr: 5.000000e-04 eta: 4:00:02 time: 0.339915 data_time: 0.036083 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.892127 2023/08/09 22:53:44 - mmengine - INFO - Epoch(train) [85][160/327] lr: 5.000000e-04 eta: 3:59:58 time: 0.335543 data_time: 0.032707 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.851490 2023/08/09 22:53:47 - mmengine - INFO - Epoch(train) [85][170/327] lr: 5.000000e-04 eta: 3:59:55 time: 0.338179 data_time: 0.032653 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.966667 2023/08/09 22:53:50 - mmengine - INFO - Epoch(train) [85][180/327] lr: 5.000000e-04 eta: 3:59:51 time: 0.340812 data_time: 0.032982 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.932703 2023/08/09 22:53:54 - mmengine - INFO - Epoch(train) [85][190/327] lr: 5.000000e-04 eta: 3:59:48 time: 0.342256 data_time: 0.032744 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.844163 2023/08/09 22:53:57 - mmengine - INFO - Epoch(train) [85][200/327] lr: 5.000000e-04 eta: 3:59:44 time: 0.341378 data_time: 0.032773 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.901980 2023/08/09 22:54:01 - mmengine - INFO - Epoch(train) [85][210/327] lr: 5.000000e-04 eta: 3:59:40 time: 0.340587 data_time: 0.033061 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.863054 2023/08/09 22:54:04 - mmengine - INFO - Epoch(train) [85][220/327] lr: 5.000000e-04 eta: 3:59:36 time: 0.338970 data_time: 0.032851 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.884100 2023/08/09 22:54:07 - mmengine - INFO - Epoch(train) [85][230/327] lr: 5.000000e-04 eta: 3:59:33 time: 0.338776 data_time: 0.032483 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.847756 2023/08/09 22:54:11 - mmengine - INFO - Epoch(train) [85][240/327] lr: 5.000000e-04 eta: 3:59:29 time: 0.337921 data_time: 0.032468 memory: 4563 loss: 0.000707 loss_kpt: 0.000707 acc_pose: 0.948851 2023/08/09 22:54:14 - mmengine - INFO - Epoch(train) [85][250/327] lr: 5.000000e-04 eta: 3:59:25 time: 0.339171 data_time: 0.032001 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.888136 2023/08/09 22:54:18 - mmengine - INFO - Epoch(train) [85][260/327] lr: 5.000000e-04 eta: 3:59:22 time: 0.342545 data_time: 0.031802 memory: 4563 loss: 0.000713 loss_kpt: 0.000713 acc_pose: 0.877890 2023/08/09 22:54:21 - mmengine - INFO - Epoch(train) [85][270/327] lr: 5.000000e-04 eta: 3:59:18 time: 0.342332 data_time: 0.031464 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.960181 2023/08/09 22:54:24 - mmengine - INFO - Epoch(train) [85][280/327] lr: 5.000000e-04 eta: 3:59:14 time: 0.339984 data_time: 0.030722 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.913711 2023/08/09 22:54:28 - mmengine - INFO - Epoch(train) [85][290/327] lr: 5.000000e-04 eta: 3:59:11 time: 0.339699 data_time: 0.030437 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.904234 2023/08/09 22:54:31 - mmengine - INFO - Epoch(train) [85][300/327] lr: 5.000000e-04 eta: 3:59:07 time: 0.339594 data_time: 0.030865 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.906322 2023/08/09 22:54:35 - mmengine - INFO - Epoch(train) [85][310/327] lr: 5.000000e-04 eta: 3:59:03 time: 0.336946 data_time: 0.031014 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.873690 2023/08/09 22:54:38 - mmengine - INFO - Epoch(train) [85][320/327] lr: 5.000000e-04 eta: 3:59:00 time: 0.338772 data_time: 0.031493 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.888113 2023/08/09 22:54:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:54:44 - mmengine - INFO - Epoch(train) [86][ 10/327] lr: 5.000000e-04 eta: 3:58:54 time: 0.346090 data_time: 0.038442 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.922764 2023/08/09 22:54:48 - mmengine - INFO - Epoch(train) [86][ 20/327] lr: 5.000000e-04 eta: 3:58:50 time: 0.346487 data_time: 0.037757 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.894841 2023/08/09 22:54:51 - mmengine - INFO - Epoch(train) [86][ 30/327] lr: 5.000000e-04 eta: 3:58:47 time: 0.347271 data_time: 0.037595 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.859355 2023/08/09 22:54:55 - mmengine - INFO - Epoch(train) [86][ 40/327] lr: 5.000000e-04 eta: 3:58:43 time: 0.348996 data_time: 0.037310 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.862582 2023/08/09 22:54:58 - mmengine - INFO - Epoch(train) [86][ 50/327] lr: 5.000000e-04 eta: 3:58:40 time: 0.351685 data_time: 0.035147 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.844109 2023/08/09 22:55:01 - mmengine - INFO - Epoch(train) [86][ 60/327] lr: 5.000000e-04 eta: 3:58:36 time: 0.346555 data_time: 0.031473 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.892583 2023/08/09 22:55:05 - mmengine - INFO - Epoch(train) [86][ 70/327] lr: 5.000000e-04 eta: 3:58:33 time: 0.350850 data_time: 0.031529 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.912408 2023/08/09 22:55:09 - mmengine - INFO - Epoch(train) [86][ 80/327] lr: 5.000000e-04 eta: 3:58:29 time: 0.352634 data_time: 0.031780 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.899638 2023/08/09 22:55:12 - mmengine - INFO - Epoch(train) [86][ 90/327] lr: 5.000000e-04 eta: 3:58:26 time: 0.350953 data_time: 0.031598 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.955026 2023/08/09 22:55:15 - mmengine - INFO - Epoch(train) [86][100/327] lr: 5.000000e-04 eta: 3:58:22 time: 0.348187 data_time: 0.031239 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.931283 2023/08/09 22:55:19 - mmengine - INFO - Epoch(train) [86][110/327] lr: 5.000000e-04 eta: 3:58:19 time: 0.350613 data_time: 0.031114 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.919289 2023/08/09 22:55:23 - mmengine - INFO - Epoch(train) [86][120/327] lr: 5.000000e-04 eta: 3:58:15 time: 0.349198 data_time: 0.031665 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.881904 2023/08/09 22:55:26 - mmengine - INFO - Epoch(train) [86][130/327] lr: 5.000000e-04 eta: 3:58:12 time: 0.349422 data_time: 0.031868 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.924138 2023/08/09 22:55:30 - mmengine - INFO - Epoch(train) [86][140/327] lr: 5.000000e-04 eta: 3:58:08 time: 0.351789 data_time: 0.032190 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.861351 2023/08/09 22:55:34 - mmengine - INFO - Epoch(train) [86][150/327] lr: 5.000000e-04 eta: 3:58:05 time: 0.360667 data_time: 0.031858 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.955312 2023/08/09 22:55:37 - mmengine - INFO - Epoch(train) [86][160/327] lr: 5.000000e-04 eta: 3:58:02 time: 0.365571 data_time: 0.031529 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.892821 2023/08/09 22:55:41 - mmengine - INFO - Epoch(train) [86][170/327] lr: 5.000000e-04 eta: 3:57:59 time: 0.364424 data_time: 0.031109 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.894768 2023/08/09 22:55:45 - mmengine - INFO - Epoch(train) [86][180/327] lr: 5.000000e-04 eta: 3:57:56 time: 0.372483 data_time: 0.034571 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.887097 2023/08/09 22:55:48 - mmengine - INFO - Epoch(train) [86][190/327] lr: 5.000000e-04 eta: 3:57:52 time: 0.370354 data_time: 0.035059 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.884535 2023/08/09 22:55:52 - mmengine - INFO - Epoch(train) [86][200/327] lr: 5.000000e-04 eta: 3:57:49 time: 0.364291 data_time: 0.035909 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.950211 2023/08/09 22:55:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:55:55 - mmengine - INFO - Epoch(train) [86][210/327] lr: 5.000000e-04 eta: 3:57:45 time: 0.363767 data_time: 0.036396 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.816220 2023/08/09 22:55:59 - mmengine - INFO - Epoch(train) [86][220/327] lr: 5.000000e-04 eta: 3:57:42 time: 0.369728 data_time: 0.036446 memory: 4563 loss: 0.000702 loss_kpt: 0.000702 acc_pose: 0.927589 2023/08/09 22:56:03 - mmengine - INFO - Epoch(train) [86][230/327] lr: 5.000000e-04 eta: 3:57:39 time: 0.367242 data_time: 0.032950 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.895904 2023/08/09 22:56:07 - mmengine - INFO - Epoch(train) [86][240/327] lr: 5.000000e-04 eta: 3:57:36 time: 0.368471 data_time: 0.032117 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.894658 2023/08/09 22:56:10 - mmengine - INFO - Epoch(train) [86][250/327] lr: 5.000000e-04 eta: 3:57:32 time: 0.366692 data_time: 0.031542 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.906322 2023/08/09 22:56:14 - mmengine - INFO - Epoch(train) [86][260/327] lr: 5.000000e-04 eta: 3:57:29 time: 0.362060 data_time: 0.031456 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.908528 2023/08/09 22:56:17 - mmengine - INFO - Epoch(train) [86][270/327] lr: 5.000000e-04 eta: 3:57:25 time: 0.355553 data_time: 0.031247 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.909659 2023/08/09 22:56:21 - mmengine - INFO - Epoch(train) [86][280/327] lr: 5.000000e-04 eta: 3:57:22 time: 0.348732 data_time: 0.030988 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.881675 2023/08/09 22:56:24 - mmengine - INFO - Epoch(train) [86][290/327] lr: 5.000000e-04 eta: 3:57:18 time: 0.347759 data_time: 0.030900 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.948143 2023/08/09 22:56:27 - mmengine - INFO - Epoch(train) [86][300/327] lr: 5.000000e-04 eta: 3:57:14 time: 0.346504 data_time: 0.030744 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.929757 2023/08/09 22:56:31 - mmengine - INFO - Epoch(train) [86][310/327] lr: 5.000000e-04 eta: 3:57:11 time: 0.345193 data_time: 0.031562 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.927055 2023/08/09 22:56:34 - mmengine - INFO - Epoch(train) [86][320/327] lr: 5.000000e-04 eta: 3:57:07 time: 0.346336 data_time: 0.031825 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.876905 2023/08/09 22:56:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:56:40 - mmengine - INFO - Epoch(train) [87][ 10/327] lr: 5.000000e-04 eta: 3:57:02 time: 0.349473 data_time: 0.036525 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.888816 2023/08/09 22:56:44 - mmengine - INFO - Epoch(train) [87][ 20/327] lr: 5.000000e-04 eta: 3:56:58 time: 0.352789 data_time: 0.036890 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.908308 2023/08/09 22:56:48 - mmengine - INFO - Epoch(train) [87][ 30/327] lr: 5.000000e-04 eta: 3:56:55 time: 0.356417 data_time: 0.038983 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.913711 2023/08/09 22:56:51 - mmengine - INFO - Epoch(train) [87][ 40/327] lr: 5.000000e-04 eta: 3:56:51 time: 0.354868 data_time: 0.038572 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.918773 2023/08/09 22:56:55 - mmengine - INFO - Epoch(train) [87][ 50/327] lr: 5.000000e-04 eta: 3:56:47 time: 0.354234 data_time: 0.038818 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.871490 2023/08/09 22:56:58 - mmengine - INFO - Epoch(train) [87][ 60/327] lr: 5.000000e-04 eta: 3:56:44 time: 0.349943 data_time: 0.034034 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.933834 2023/08/09 22:57:02 - mmengine - INFO - Epoch(train) [87][ 70/327] lr: 5.000000e-04 eta: 3:56:41 time: 0.351862 data_time: 0.034283 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.938802 2023/08/09 22:57:05 - mmengine - INFO - Epoch(train) [87][ 80/327] lr: 5.000000e-04 eta: 3:56:37 time: 0.351071 data_time: 0.031678 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.964239 2023/08/09 22:57:09 - mmengine - INFO - Epoch(train) [87][ 90/327] lr: 5.000000e-04 eta: 3:56:34 time: 0.355591 data_time: 0.031949 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.915584 2023/08/09 22:57:12 - mmengine - INFO - Epoch(train) [87][100/327] lr: 5.000000e-04 eta: 3:56:30 time: 0.355222 data_time: 0.031960 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.860959 2023/08/09 22:57:16 - mmengine - INFO - Epoch(train) [87][110/327] lr: 5.000000e-04 eta: 3:56:27 time: 0.352874 data_time: 0.031800 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.883760 2023/08/09 22:57:19 - mmengine - INFO - Epoch(train) [87][120/327] lr: 5.000000e-04 eta: 3:56:23 time: 0.348964 data_time: 0.031190 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.920495 2023/08/09 22:57:23 - mmengine - INFO - Epoch(train) [87][130/327] lr: 5.000000e-04 eta: 3:56:19 time: 0.346920 data_time: 0.031022 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.848947 2023/08/09 22:57:26 - mmengine - INFO - Epoch(train) [87][140/327] lr: 5.000000e-04 eta: 3:56:16 time: 0.342653 data_time: 0.031020 memory: 4563 loss: 0.000698 loss_kpt: 0.000698 acc_pose: 0.856609 2023/08/09 22:57:30 - mmengine - INFO - Epoch(train) [87][150/327] lr: 5.000000e-04 eta: 3:56:12 time: 0.344591 data_time: 0.030918 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.865630 2023/08/09 22:57:33 - mmengine - INFO - Epoch(train) [87][160/327] lr: 5.000000e-04 eta: 3:56:09 time: 0.349309 data_time: 0.031614 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.874620 2023/08/09 22:57:37 - mmengine - INFO - Epoch(train) [87][170/327] lr: 5.000000e-04 eta: 3:56:05 time: 0.348643 data_time: 0.031804 memory: 4563 loss: 0.000693 loss_kpt: 0.000693 acc_pose: 0.822124 2023/08/09 22:57:40 - mmengine - INFO - Epoch(train) [87][180/327] lr: 5.000000e-04 eta: 3:56:02 time: 0.346342 data_time: 0.031595 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.839434 2023/08/09 22:57:43 - mmengine - INFO - Epoch(train) [87][190/327] lr: 5.000000e-04 eta: 3:55:58 time: 0.344825 data_time: 0.030953 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.919574 2023/08/09 22:57:47 - mmengine - INFO - Epoch(train) [87][200/327] lr: 5.000000e-04 eta: 3:55:54 time: 0.342674 data_time: 0.031315 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.882776 2023/08/09 22:57:50 - mmengine - INFO - Epoch(train) [87][210/327] lr: 5.000000e-04 eta: 3:55:50 time: 0.338892 data_time: 0.030836 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.810067 2023/08/09 22:57:54 - mmengine - INFO - Epoch(train) [87][220/327] lr: 5.000000e-04 eta: 3:55:47 time: 0.343722 data_time: 0.030911 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.831516 2023/08/09 22:57:57 - mmengine - INFO - Epoch(train) [87][230/327] lr: 5.000000e-04 eta: 3:55:44 time: 0.344955 data_time: 0.030982 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.917328 2023/08/09 22:58:01 - mmengine - INFO - Epoch(train) [87][240/327] lr: 5.000000e-04 eta: 3:55:40 time: 0.346143 data_time: 0.031247 memory: 4563 loss: 0.000696 loss_kpt: 0.000696 acc_pose: 0.897723 2023/08/09 22:58:04 - mmengine - INFO - Epoch(train) [87][250/327] lr: 5.000000e-04 eta: 3:55:36 time: 0.345897 data_time: 0.030854 memory: 4563 loss: 0.000692 loss_kpt: 0.000692 acc_pose: 0.836447 2023/08/09 22:58:07 - mmengine - INFO - Epoch(train) [87][260/327] lr: 5.000000e-04 eta: 3:55:33 time: 0.344862 data_time: 0.030732 memory: 4563 loss: 0.000714 loss_kpt: 0.000714 acc_pose: 0.929691 2023/08/09 22:58:11 - mmengine - INFO - Epoch(train) [87][270/327] lr: 5.000000e-04 eta: 3:55:29 time: 0.339668 data_time: 0.030605 memory: 4563 loss: 0.000711 loss_kpt: 0.000711 acc_pose: 0.874793 2023/08/09 22:58:14 - mmengine - INFO - Epoch(train) [87][280/327] lr: 5.000000e-04 eta: 3:55:25 time: 0.338938 data_time: 0.030879 memory: 4563 loss: 0.000720 loss_kpt: 0.000720 acc_pose: 0.873034 2023/08/09 22:58:18 - mmengine - INFO - Epoch(train) [87][290/327] lr: 5.000000e-04 eta: 3:55:22 time: 0.344858 data_time: 0.031227 memory: 4563 loss: 0.000697 loss_kpt: 0.000697 acc_pose: 0.932680 2023/08/09 22:58:21 - mmengine - INFO - Epoch(train) [87][300/327] lr: 5.000000e-04 eta: 3:55:18 time: 0.346285 data_time: 0.031294 memory: 4563 loss: 0.000708 loss_kpt: 0.000708 acc_pose: 0.848340 2023/08/09 22:58:25 - mmengine - INFO - Epoch(train) [87][310/327] lr: 5.000000e-04 eta: 3:55:15 time: 0.348069 data_time: 0.031356 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.896676 2023/08/09 22:58:28 - mmengine - INFO - Epoch(train) [87][320/327] lr: 5.000000e-04 eta: 3:55:11 time: 0.348643 data_time: 0.031546 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.868668 2023/08/09 22:58:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 22:58:34 - mmengine - INFO - Epoch(train) [88][ 10/327] lr: 5.000000e-04 eta: 3:55:05 time: 0.350212 data_time: 0.033842 memory: 4563 loss: 0.000701 loss_kpt: 0.000701 acc_pose: 0.909747 2023/08/09 22:58:38 - mmengine - INFO - Epoch(train) [88][ 20/327] lr: 5.000000e-04 eta: 3:55:02 time: 0.346576 data_time: 0.034091 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.850538 2023/08/09 22:58:41 - mmengine - INFO - Epoch(train) [88][ 30/327] lr: 5.000000e-04 eta: 3:54:58 time: 0.346289 data_time: 0.034132 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.919637 2023/08/09 22:58:45 - mmengine - INFO - Epoch(train) [88][ 40/327] lr: 5.000000e-04 eta: 3:54:55 time: 0.349220 data_time: 0.034288 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.892234 2023/08/09 22:58:48 - mmengine - INFO - Epoch(train) [88][ 50/327] lr: 5.000000e-04 eta: 3:54:51 time: 0.353386 data_time: 0.035572 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.893121 2023/08/09 22:58:52 - mmengine - INFO - Epoch(train) [88][ 60/327] lr: 5.000000e-04 eta: 3:54:48 time: 0.350583 data_time: 0.032908 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.879726 2023/08/09 22:58:55 - mmengine - INFO - Epoch(train) [88][ 70/327] lr: 5.000000e-04 eta: 3:54:45 time: 0.356982 data_time: 0.033197 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.890111 2023/08/09 22:58:59 - mmengine - INFO - Epoch(train) [88][ 80/327] lr: 5.000000e-04 eta: 3:54:41 time: 0.363603 data_time: 0.033656 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.905295 2023/08/09 22:59:03 - mmengine - INFO - Epoch(train) [88][ 90/327] lr: 5.000000e-04 eta: 3:54:38 time: 0.368449 data_time: 0.033971 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.800482 2023/08/09 22:59:07 - mmengine - INFO - Epoch(train) [88][100/327] lr: 5.000000e-04 eta: 3:54:35 time: 0.369871 data_time: 0.033532 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.864080 2023/08/09 22:59:10 - mmengine - INFO - Epoch(train) [88][110/327] lr: 5.000000e-04 eta: 3:54:31 time: 0.368252 data_time: 0.032669 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.911307 2023/08/09 22:59:14 - mmengine - INFO - Epoch(train) [88][120/327] lr: 5.000000e-04 eta: 3:54:28 time: 0.362750 data_time: 0.032749 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.921449 2023/08/09 22:59:17 - mmengine - INFO - Epoch(train) [88][130/327] lr: 5.000000e-04 eta: 3:54:24 time: 0.359479 data_time: 0.032218 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.856127 2023/08/09 22:59:21 - mmengine - INFO - Epoch(train) [88][140/327] lr: 5.000000e-04 eta: 3:54:21 time: 0.353905 data_time: 0.031783 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.899521 2023/08/09 22:59:24 - mmengine - INFO - Epoch(train) [88][150/327] lr: 5.000000e-04 eta: 3:54:18 time: 0.356778 data_time: 0.035103 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.895178 2023/08/09 22:59:28 - mmengine - INFO - Epoch(train) [88][160/327] lr: 5.000000e-04 eta: 3:54:14 time: 0.357846 data_time: 0.035247 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.876519 2023/08/09 22:59:31 - mmengine - INFO - Epoch(train) [88][170/327] lr: 5.000000e-04 eta: 3:54:11 time: 0.355973 data_time: 0.034847 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.903948 2023/08/09 22:59:35 - mmengine - INFO - Epoch(train) [88][180/327] lr: 5.000000e-04 eta: 3:54:07 time: 0.354867 data_time: 0.035311 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.888116 2023/08/09 22:59:39 - mmengine - INFO - Epoch(train) [88][190/327] lr: 5.000000e-04 eta: 3:54:04 time: 0.357002 data_time: 0.035554 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.926221 2023/08/09 22:59:42 - mmengine - INFO - Epoch(train) [88][200/327] lr: 5.000000e-04 eta: 3:54:00 time: 0.351363 data_time: 0.032120 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.921371 2023/08/09 22:59:46 - mmengine - INFO - Epoch(train) [88][210/327] lr: 5.000000e-04 eta: 3:53:57 time: 0.353008 data_time: 0.032119 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.965905 2023/08/09 22:59:49 - mmengine - INFO - Epoch(train) [88][220/327] lr: 5.000000e-04 eta: 3:53:53 time: 0.352032 data_time: 0.031770 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.972861 2023/08/09 22:59:52 - mmengine - INFO - Epoch(train) [88][230/327] lr: 5.000000e-04 eta: 3:53:50 time: 0.349849 data_time: 0.031246 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.910215 2023/08/09 22:59:56 - mmengine - INFO - Epoch(train) [88][240/327] lr: 5.000000e-04 eta: 3:53:46 time: 0.350541 data_time: 0.030937 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.862606 2023/08/09 23:00:00 - mmengine - INFO - Epoch(train) [88][250/327] lr: 5.000000e-04 eta: 3:53:43 time: 0.355066 data_time: 0.031095 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.947022 2023/08/09 23:00:04 - mmengine - INFO - Epoch(train) [88][260/327] lr: 5.000000e-04 eta: 3:53:40 time: 0.361581 data_time: 0.031492 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.916574 2023/08/09 23:00:07 - mmengine - INFO - Epoch(train) [88][270/327] lr: 5.000000e-04 eta: 3:53:37 time: 0.363168 data_time: 0.032378 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.900463 2023/08/09 23:00:11 - mmengine - INFO - Epoch(train) [88][280/327] lr: 5.000000e-04 eta: 3:53:33 time: 0.369478 data_time: 0.033004 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.825758 2023/08/09 23:00:14 - mmengine - INFO - Epoch(train) [88][290/327] lr: 5.000000e-04 eta: 3:53:30 time: 0.365371 data_time: 0.033427 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.812937 2023/08/09 23:00:18 - mmengine - INFO - Epoch(train) [88][300/327] lr: 5.000000e-04 eta: 3:53:26 time: 0.361312 data_time: 0.033838 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.914368 2023/08/09 23:00:21 - mmengine - INFO - Epoch(train) [88][310/327] lr: 5.000000e-04 eta: 3:53:23 time: 0.353243 data_time: 0.033588 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.932621 2023/08/09 23:00:25 - mmengine - INFO - Epoch(train) [88][320/327] lr: 5.000000e-04 eta: 3:53:19 time: 0.353878 data_time: 0.033151 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.827747 2023/08/09 23:00:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:00:31 - mmengine - INFO - Epoch(train) [89][ 10/327] lr: 5.000000e-04 eta: 3:53:13 time: 0.349951 data_time: 0.035563 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.819971 2023/08/09 23:00:34 - mmengine - INFO - Epoch(train) [89][ 20/327] lr: 5.000000e-04 eta: 3:53:10 time: 0.347421 data_time: 0.034758 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.873851 2023/08/09 23:00:38 - mmengine - INFO - Epoch(train) [89][ 30/327] lr: 5.000000e-04 eta: 3:53:06 time: 0.345124 data_time: 0.034914 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.939220 2023/08/09 23:00:41 - mmengine - INFO - Epoch(train) [89][ 40/327] lr: 5.000000e-04 eta: 3:53:02 time: 0.340279 data_time: 0.034485 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.904843 2023/08/09 23:00:44 - mmengine - INFO - Epoch(train) [89][ 50/327] lr: 5.000000e-04 eta: 3:52:58 time: 0.341672 data_time: 0.034608 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.916630 2023/08/09 23:00:48 - mmengine - INFO - Epoch(train) [89][ 60/327] lr: 5.000000e-04 eta: 3:52:55 time: 0.336890 data_time: 0.030886 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.870981 2023/08/09 23:00:51 - mmengine - INFO - Epoch(train) [89][ 70/327] lr: 5.000000e-04 eta: 3:52:51 time: 0.336967 data_time: 0.030959 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.932643 2023/08/09 23:00:55 - mmengine - INFO - Epoch(train) [89][ 80/327] lr: 5.000000e-04 eta: 3:52:48 time: 0.340628 data_time: 0.030878 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.912925 2023/08/09 23:00:58 - mmengine - INFO - Epoch(train) [89][ 90/327] lr: 5.000000e-04 eta: 3:52:44 time: 0.344212 data_time: 0.030913 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.919964 2023/08/09 23:01:02 - mmengine - INFO - Epoch(train) [89][100/327] lr: 5.000000e-04 eta: 3:52:40 time: 0.343140 data_time: 0.030906 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.868178 2023/08/09 23:01:05 - mmengine - INFO - Epoch(train) [89][110/327] lr: 5.000000e-04 eta: 3:52:37 time: 0.341849 data_time: 0.030808 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.917128 2023/08/09 23:01:08 - mmengine - INFO - Epoch(train) [89][120/327] lr: 5.000000e-04 eta: 3:52:33 time: 0.343456 data_time: 0.030480 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.919180 2023/08/09 23:01:12 - mmengine - INFO - Epoch(train) [89][130/327] lr: 5.000000e-04 eta: 3:52:29 time: 0.342716 data_time: 0.030370 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.874886 2023/08/09 23:01:15 - mmengine - INFO - Epoch(train) [89][140/327] lr: 5.000000e-04 eta: 3:52:26 time: 0.341376 data_time: 0.030486 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.925589 2023/08/09 23:01:19 - mmengine - INFO - Epoch(train) [89][150/327] lr: 5.000000e-04 eta: 3:52:22 time: 0.343427 data_time: 0.030565 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.905705 2023/08/09 23:01:22 - mmengine - INFO - Epoch(train) [89][160/327] lr: 5.000000e-04 eta: 3:52:19 time: 0.343728 data_time: 0.031365 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.893086 2023/08/09 23:01:25 - mmengine - INFO - Epoch(train) [89][170/327] lr: 5.000000e-04 eta: 3:52:15 time: 0.342288 data_time: 0.031718 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.902554 2023/08/09 23:01:29 - mmengine - INFO - Epoch(train) [89][180/327] lr: 5.000000e-04 eta: 3:52:11 time: 0.341696 data_time: 0.031418 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.897989 2023/08/09 23:01:32 - mmengine - INFO - Epoch(train) [89][190/327] lr: 5.000000e-04 eta: 3:52:08 time: 0.344168 data_time: 0.031790 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.858659 2023/08/09 23:01:36 - mmengine - INFO - Epoch(train) [89][200/327] lr: 5.000000e-04 eta: 3:52:04 time: 0.345086 data_time: 0.031831 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.935198 2023/08/09 23:01:39 - mmengine - INFO - Epoch(train) [89][210/327] lr: 5.000000e-04 eta: 3:52:01 time: 0.346359 data_time: 0.031276 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.893712 2023/08/09 23:01:43 - mmengine - INFO - Epoch(train) [89][220/327] lr: 5.000000e-04 eta: 3:51:57 time: 0.347589 data_time: 0.031244 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.901999 2023/08/09 23:01:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:01:46 - mmengine - INFO - Epoch(train) [89][230/327] lr: 5.000000e-04 eta: 3:51:54 time: 0.348845 data_time: 0.031473 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.895559 2023/08/09 23:01:50 - mmengine - INFO - Epoch(train) [89][240/327] lr: 5.000000e-04 eta: 3:51:50 time: 0.348937 data_time: 0.034050 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.946429 2023/08/09 23:01:53 - mmengine - INFO - Epoch(train) [89][250/327] lr: 5.000000e-04 eta: 3:51:47 time: 0.347307 data_time: 0.034015 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.863218 2023/08/09 23:01:57 - mmengine - INFO - Epoch(train) [89][260/327] lr: 5.000000e-04 eta: 3:51:43 time: 0.346761 data_time: 0.033658 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.889286 2023/08/09 23:02:00 - mmengine - INFO - Epoch(train) [89][270/327] lr: 5.000000e-04 eta: 3:51:39 time: 0.345644 data_time: 0.033443 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.878920 2023/08/09 23:02:03 - mmengine - INFO - Epoch(train) [89][280/327] lr: 5.000000e-04 eta: 3:51:36 time: 0.343655 data_time: 0.033688 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.879142 2023/08/09 23:02:07 - mmengine - INFO - Epoch(train) [89][290/327] lr: 5.000000e-04 eta: 3:51:32 time: 0.340201 data_time: 0.031672 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.905735 2023/08/09 23:02:10 - mmengine - INFO - Epoch(train) [89][300/327] lr: 5.000000e-04 eta: 3:51:28 time: 0.339908 data_time: 0.032235 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.846439 2023/08/09 23:02:14 - mmengine - INFO - Epoch(train) [89][310/327] lr: 5.000000e-04 eta: 3:51:25 time: 0.338082 data_time: 0.032751 memory: 4563 loss: 0.000685 loss_kpt: 0.000685 acc_pose: 0.896987 2023/08/09 23:02:17 - mmengine - INFO - Epoch(train) [89][320/327] lr: 5.000000e-04 eta: 3:51:21 time: 0.339600 data_time: 0.032745 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.943624 2023/08/09 23:02:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:02:23 - mmengine - INFO - Epoch(train) [90][ 10/327] lr: 5.000000e-04 eta: 3:51:15 time: 0.340980 data_time: 0.035070 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.921562 2023/08/09 23:02:26 - mmengine - INFO - Epoch(train) [90][ 20/327] lr: 5.000000e-04 eta: 3:51:11 time: 0.341421 data_time: 0.034753 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.855159 2023/08/09 23:02:30 - mmengine - INFO - Epoch(train) [90][ 30/327] lr: 5.000000e-04 eta: 3:51:08 time: 0.347666 data_time: 0.034779 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.858115 2023/08/09 23:02:34 - mmengine - INFO - Epoch(train) [90][ 40/327] lr: 5.000000e-04 eta: 3:51:04 time: 0.350974 data_time: 0.035219 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.965517 2023/08/09 23:02:37 - mmengine - INFO - Epoch(train) [90][ 50/327] lr: 5.000000e-04 eta: 3:51:01 time: 0.353720 data_time: 0.037142 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.861828 2023/08/09 23:02:41 - mmengine - INFO - Epoch(train) [90][ 60/327] lr: 5.000000e-04 eta: 3:50:57 time: 0.351824 data_time: 0.032463 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.853129 2023/08/09 23:02:44 - mmengine - INFO - Epoch(train) [90][ 70/327] lr: 5.000000e-04 eta: 3:50:54 time: 0.350948 data_time: 0.032060 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.844349 2023/08/09 23:02:48 - mmengine - INFO - Epoch(train) [90][ 80/327] lr: 5.000000e-04 eta: 3:50:50 time: 0.348648 data_time: 0.032195 memory: 4563 loss: 0.000687 loss_kpt: 0.000687 acc_pose: 0.888465 2023/08/09 23:02:51 - mmengine - INFO - Epoch(train) [90][ 90/327] lr: 5.000000e-04 eta: 3:50:47 time: 0.351326 data_time: 0.032265 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.924082 2023/08/09 23:02:55 - mmengine - INFO - Epoch(train) [90][100/327] lr: 5.000000e-04 eta: 3:50:43 time: 0.353548 data_time: 0.031953 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.854246 2023/08/09 23:02:58 - mmengine - INFO - Epoch(train) [90][110/327] lr: 5.000000e-04 eta: 3:50:40 time: 0.353954 data_time: 0.032205 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.938050 2023/08/09 23:03:02 - mmengine - INFO - Epoch(train) [90][120/327] lr: 5.000000e-04 eta: 3:50:37 time: 0.356558 data_time: 0.032416 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.875135 2023/08/09 23:03:05 - mmengine - INFO - Epoch(train) [90][130/327] lr: 5.000000e-04 eta: 3:50:33 time: 0.355210 data_time: 0.031863 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.819444 2023/08/09 23:03:09 - mmengine - INFO - Epoch(train) [90][140/327] lr: 5.000000e-04 eta: 3:50:29 time: 0.351811 data_time: 0.031259 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.884119 2023/08/09 23:03:12 - mmengine - INFO - Epoch(train) [90][150/327] lr: 5.000000e-04 eta: 3:50:26 time: 0.350088 data_time: 0.031077 memory: 4563 loss: 0.000681 loss_kpt: 0.000681 acc_pose: 0.829310 2023/08/09 23:03:16 - mmengine - INFO - Epoch(train) [90][160/327] lr: 5.000000e-04 eta: 3:50:22 time: 0.347684 data_time: 0.030690 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.855228 2023/08/09 23:03:19 - mmengine - INFO - Epoch(train) [90][170/327] lr: 5.000000e-04 eta: 3:50:19 time: 0.346935 data_time: 0.031115 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.929142 2023/08/09 23:03:23 - mmengine - INFO - Epoch(train) [90][180/327] lr: 5.000000e-04 eta: 3:50:15 time: 0.348678 data_time: 0.031189 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.902356 2023/08/09 23:03:26 - mmengine - INFO - Epoch(train) [90][190/327] lr: 5.000000e-04 eta: 3:50:12 time: 0.349887 data_time: 0.031642 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.822904 2023/08/09 23:03:30 - mmengine - INFO - Epoch(train) [90][200/327] lr: 5.000000e-04 eta: 3:50:08 time: 0.349272 data_time: 0.031254 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.865576 2023/08/09 23:03:33 - mmengine - INFO - Epoch(train) [90][210/327] lr: 5.000000e-04 eta: 3:50:05 time: 0.350960 data_time: 0.031443 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.946032 2023/08/09 23:03:37 - mmengine - INFO - Epoch(train) [90][220/327] lr: 5.000000e-04 eta: 3:50:01 time: 0.350011 data_time: 0.030700 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.964286 2023/08/09 23:03:40 - mmengine - INFO - Epoch(train) [90][230/327] lr: 5.000000e-04 eta: 3:49:58 time: 0.349474 data_time: 0.030886 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.907354 2023/08/09 23:03:44 - mmengine - INFO - Epoch(train) [90][240/327] lr: 5.000000e-04 eta: 3:49:54 time: 0.349675 data_time: 0.030735 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.834626 2023/08/09 23:03:47 - mmengine - INFO - Epoch(train) [90][250/327] lr: 5.000000e-04 eta: 3:49:51 time: 0.350764 data_time: 0.031159 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.843668 2023/08/09 23:03:51 - mmengine - INFO - Epoch(train) [90][260/327] lr: 5.000000e-04 eta: 3:49:47 time: 0.351675 data_time: 0.031898 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.903257 2023/08/09 23:03:54 - mmengine - INFO - Epoch(train) [90][270/327] lr: 5.000000e-04 eta: 3:49:44 time: 0.351134 data_time: 0.031947 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.950269 2023/08/09 23:03:58 - mmengine - INFO - Epoch(train) [90][280/327] lr: 5.000000e-04 eta: 3:49:40 time: 0.350703 data_time: 0.031952 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.899445 2023/08/09 23:04:01 - mmengine - INFO - Epoch(train) [90][290/327] lr: 5.000000e-04 eta: 3:49:37 time: 0.349092 data_time: 0.031792 memory: 4563 loss: 0.000680 loss_kpt: 0.000680 acc_pose: 0.879510 2023/08/09 23:04:05 - mmengine - INFO - Epoch(train) [90][300/327] lr: 5.000000e-04 eta: 3:49:33 time: 0.347373 data_time: 0.031277 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.858329 2023/08/09 23:04:08 - mmengine - INFO - Epoch(train) [90][310/327] lr: 5.000000e-04 eta: 3:49:29 time: 0.346086 data_time: 0.031068 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.862069 2023/08/09 23:04:12 - mmengine - INFO - Epoch(train) [90][320/327] lr: 5.000000e-04 eta: 3:49:26 time: 0.346724 data_time: 0.031420 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.925180 2023/08/09 23:04:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:04:14 - mmengine - INFO - Saving checkpoint at 90 epochs 2023/08/09 23:04:20 - mmengine - INFO - Epoch(val) [90][10/79] eta: 0:00:14 time: 0.194915 data_time: 0.012623 memory: 4563 2023/08/09 23:04:22 - mmengine - INFO - Epoch(val) [90][20/79] eta: 0:00:11 time: 0.194816 data_time: 0.012574 memory: 1634 2023/08/09 23:04:24 - mmengine - INFO - Epoch(val) [90][30/79] eta: 0:00:09 time: 0.194865 data_time: 0.012595 memory: 1634 2023/08/09 23:04:26 - mmengine - INFO - Epoch(val) [90][40/79] eta: 0:00:07 time: 0.194957 data_time: 0.012621 memory: 1634 2023/08/09 23:04:27 - mmengine - INFO - Epoch(val) [90][50/79] eta: 0:00:05 time: 0.197119 data_time: 0.012822 memory: 1634 2023/08/09 23:04:29 - mmengine - INFO - Epoch(val) [90][60/79] eta: 0:00:03 time: 0.195518 data_time: 0.011473 memory: 1634 2023/08/09 23:04:31 - mmengine - INFO - Epoch(val) [90][70/79] eta: 0:00:01 time: 0.195518 data_time: 0.011401 memory: 1634 2023/08/09 23:04:33 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 23:04:33 - mmengine - INFO - Evaluating AUC... 2023/08/09 23:04:33 - mmengine - INFO - Evaluating EPE... 2023/08/09 23:04:33 - mmengine - INFO - Epoch(val) [90][79/79] PCK: 0.973712 AUC: 0.754545 EPE: 9.354962 data_time: 0.012370 time: 0.194258 2023/08/09 23:04:33 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_80.pth is removed 2023/08/09 23:04:35 - mmengine - INFO - The best checkpoint with 0.7545 AUC at 90 epoch is saved to best_AUC_epoch_90.pth. 2023/08/09 23:04:43 - mmengine - INFO - Epoch(train) [91][ 10/327] lr: 5.000000e-04 eta: 3:49:20 time: 0.351760 data_time: 0.034688 memory: 4563 loss: 0.000704 loss_kpt: 0.000704 acc_pose: 0.899944 2023/08/09 23:04:46 - mmengine - INFO - Epoch(train) [91][ 20/327] lr: 5.000000e-04 eta: 3:49:17 time: 0.351178 data_time: 0.034849 memory: 4563 loss: 0.000690 loss_kpt: 0.000690 acc_pose: 0.949254 2023/08/09 23:04:50 - mmengine - INFO - Epoch(train) [91][ 30/327] lr: 5.000000e-04 eta: 3:49:13 time: 0.351063 data_time: 0.034440 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.883336 2023/08/09 23:04:53 - mmengine - INFO - Epoch(train) [91][ 40/327] lr: 5.000000e-04 eta: 3:49:09 time: 0.349337 data_time: 0.034093 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.862308 2023/08/09 23:04:56 - mmengine - INFO - Epoch(train) [91][ 50/327] lr: 5.000000e-04 eta: 3:49:06 time: 0.347521 data_time: 0.035256 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.834975 2023/08/09 23:05:00 - mmengine - INFO - Epoch(train) [91][ 60/327] lr: 5.000000e-04 eta: 3:49:02 time: 0.345228 data_time: 0.031394 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.931070 2023/08/09 23:05:04 - mmengine - INFO - Epoch(train) [91][ 70/327] lr: 5.000000e-04 eta: 3:48:59 time: 0.350026 data_time: 0.032134 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.888998 2023/08/09 23:05:07 - mmengine - INFO - Epoch(train) [91][ 80/327] lr: 5.000000e-04 eta: 3:48:55 time: 0.349451 data_time: 0.032034 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.967725 2023/08/09 23:05:11 - mmengine - INFO - Epoch(train) [91][ 90/327] lr: 5.000000e-04 eta: 3:48:52 time: 0.353837 data_time: 0.035558 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.850285 2023/08/09 23:05:14 - mmengine - INFO - Epoch(train) [91][100/327] lr: 5.000000e-04 eta: 3:48:49 time: 0.359799 data_time: 0.035318 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.884655 2023/08/09 23:05:18 - mmengine - INFO - Epoch(train) [91][110/327] lr: 5.000000e-04 eta: 3:48:46 time: 0.362550 data_time: 0.035477 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.864798 2023/08/09 23:05:22 - mmengine - INFO - Epoch(train) [91][120/327] lr: 5.000000e-04 eta: 3:48:42 time: 0.361293 data_time: 0.034948 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.843930 2023/08/09 23:05:25 - mmengine - INFO - Epoch(train) [91][130/327] lr: 5.000000e-04 eta: 3:48:39 time: 0.363323 data_time: 0.035531 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.850240 2023/08/09 23:05:29 - mmengine - INFO - Epoch(train) [91][140/327] lr: 5.000000e-04 eta: 3:48:35 time: 0.361207 data_time: 0.032387 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.796552 2023/08/09 23:05:32 - mmengine - INFO - Epoch(train) [91][150/327] lr: 5.000000e-04 eta: 3:48:32 time: 0.354638 data_time: 0.031995 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.907767 2023/08/09 23:05:36 - mmengine - INFO - Epoch(train) [91][160/327] lr: 5.000000e-04 eta: 3:48:28 time: 0.349719 data_time: 0.031659 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.923851 2023/08/09 23:05:39 - mmengine - INFO - Epoch(train) [91][170/327] lr: 5.000000e-04 eta: 3:48:24 time: 0.346662 data_time: 0.031722 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.938769 2023/08/09 23:05:42 - mmengine - INFO - Epoch(train) [91][180/327] lr: 5.000000e-04 eta: 3:48:21 time: 0.344890 data_time: 0.031133 memory: 4563 loss: 0.000682 loss_kpt: 0.000682 acc_pose: 0.932184 2023/08/09 23:05:46 - mmengine - INFO - Epoch(train) [91][190/327] lr: 5.000000e-04 eta: 3:48:17 time: 0.343893 data_time: 0.030839 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.956876 2023/08/09 23:05:50 - mmengine - INFO - Epoch(train) [91][200/327] lr: 5.000000e-04 eta: 3:48:14 time: 0.346639 data_time: 0.031240 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.881322 2023/08/09 23:05:53 - mmengine - INFO - Epoch(train) [91][210/327] lr: 5.000000e-04 eta: 3:48:10 time: 0.348210 data_time: 0.032196 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.876847 2023/08/09 23:05:56 - mmengine - INFO - Epoch(train) [91][220/327] lr: 5.000000e-04 eta: 3:48:07 time: 0.348766 data_time: 0.032117 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.862752 2023/08/09 23:06:00 - mmengine - INFO - Epoch(train) [91][230/327] lr: 5.000000e-04 eta: 3:48:03 time: 0.347931 data_time: 0.032112 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.958046 2023/08/09 23:06:03 - mmengine - INFO - Epoch(train) [91][240/327] lr: 5.000000e-04 eta: 3:47:59 time: 0.348638 data_time: 0.031910 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.905686 2023/08/09 23:06:07 - mmengine - INFO - Epoch(train) [91][250/327] lr: 5.000000e-04 eta: 3:47:56 time: 0.344860 data_time: 0.031509 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.865614 2023/08/09 23:06:10 - mmengine - INFO - Epoch(train) [91][260/327] lr: 5.000000e-04 eta: 3:47:52 time: 0.343612 data_time: 0.030642 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.928276 2023/08/09 23:06:14 - mmengine - INFO - Epoch(train) [91][270/327] lr: 5.000000e-04 eta: 3:47:49 time: 0.344626 data_time: 0.031424 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.903193 2023/08/09 23:06:18 - mmengine - INFO - Epoch(train) [91][280/327] lr: 5.000000e-04 eta: 3:47:46 time: 0.353320 data_time: 0.032245 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.950269 2023/08/09 23:06:21 - mmengine - INFO - Epoch(train) [91][290/327] lr: 5.000000e-04 eta: 3:47:42 time: 0.352549 data_time: 0.032560 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 1.000000 2023/08/09 23:06:25 - mmengine - INFO - Epoch(train) [91][300/327] lr: 5.000000e-04 eta: 3:47:39 time: 0.356267 data_time: 0.035747 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.856284 2023/08/09 23:06:28 - mmengine - INFO - Epoch(train) [91][310/327] lr: 5.000000e-04 eta: 3:47:35 time: 0.356972 data_time: 0.035710 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.967134 2023/08/09 23:06:31 - mmengine - INFO - Epoch(train) [91][320/327] lr: 5.000000e-04 eta: 3:47:31 time: 0.355430 data_time: 0.034738 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.929757 2023/08/09 23:06:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:06:38 - mmengine - INFO - Epoch(train) [92][ 10/327] lr: 5.000000e-04 eta: 3:47:26 time: 0.352692 data_time: 0.039282 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.908333 2023/08/09 23:06:41 - mmengine - INFO - Epoch(train) [92][ 20/327] lr: 5.000000e-04 eta: 3:47:22 time: 0.353685 data_time: 0.039468 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.935969 2023/08/09 23:06:45 - mmengine - INFO - Epoch(train) [92][ 30/327] lr: 5.000000e-04 eta: 3:47:19 time: 0.352007 data_time: 0.036954 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.929187 2023/08/09 23:06:48 - mmengine - INFO - Epoch(train) [92][ 40/327] lr: 5.000000e-04 eta: 3:47:15 time: 0.351859 data_time: 0.037002 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.869992 2023/08/09 23:06:51 - mmengine - INFO - Epoch(train) [92][ 50/327] lr: 5.000000e-04 eta: 3:47:11 time: 0.352050 data_time: 0.036631 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.902912 2023/08/09 23:06:55 - mmengine - INFO - Epoch(train) [92][ 60/327] lr: 5.000000e-04 eta: 3:47:08 time: 0.348407 data_time: 0.031877 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.821182 2023/08/09 23:06:58 - mmengine - INFO - Epoch(train) [92][ 70/327] lr: 5.000000e-04 eta: 3:47:04 time: 0.346676 data_time: 0.031699 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.919511 2023/08/09 23:07:02 - mmengine - INFO - Epoch(train) [92][ 80/327] lr: 5.000000e-04 eta: 3:47:01 time: 0.347890 data_time: 0.031986 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.913752 2023/08/09 23:07:06 - mmengine - INFO - Epoch(train) [92][ 90/327] lr: 5.000000e-04 eta: 3:46:57 time: 0.349642 data_time: 0.032319 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.921383 2023/08/09 23:07:09 - mmengine - INFO - Epoch(train) [92][100/327] lr: 5.000000e-04 eta: 3:46:54 time: 0.353053 data_time: 0.032774 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.879696 2023/08/09 23:07:13 - mmengine - INFO - Epoch(train) [92][110/327] lr: 5.000000e-04 eta: 3:46:51 time: 0.357611 data_time: 0.032304 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.891880 2023/08/09 23:07:17 - mmengine - INFO - Epoch(train) [92][120/327] lr: 5.000000e-04 eta: 3:46:48 time: 0.361406 data_time: 0.032794 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.879204 2023/08/09 23:07:20 - mmengine - INFO - Epoch(train) [92][130/327] lr: 5.000000e-04 eta: 3:46:44 time: 0.360702 data_time: 0.031704 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.886925 2023/08/09 23:07:24 - mmengine - INFO - Epoch(train) [92][140/327] lr: 5.000000e-04 eta: 3:46:40 time: 0.359006 data_time: 0.031515 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.873626 2023/08/09 23:07:27 - mmengine - INFO - Epoch(train) [92][150/327] lr: 5.000000e-04 eta: 3:46:37 time: 0.357414 data_time: 0.031570 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.915517 2023/08/09 23:07:30 - mmengine - INFO - Epoch(train) [92][160/327] lr: 5.000000e-04 eta: 3:46:33 time: 0.350695 data_time: 0.031805 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.816345 2023/08/09 23:07:34 - mmengine - INFO - Epoch(train) [92][170/327] lr: 5.000000e-04 eta: 3:46:30 time: 0.349247 data_time: 0.031525 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.866927 2023/08/09 23:07:37 - mmengine - INFO - Epoch(train) [92][180/327] lr: 5.000000e-04 eta: 3:46:26 time: 0.347947 data_time: 0.031893 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.866518 2023/08/09 23:07:41 - mmengine - INFO - Epoch(train) [92][190/327] lr: 5.000000e-04 eta: 3:46:23 time: 0.348219 data_time: 0.031537 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.961071 2023/08/09 23:07:44 - mmengine - INFO - Epoch(train) [92][200/327] lr: 5.000000e-04 eta: 3:46:19 time: 0.348731 data_time: 0.031319 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.855172 2023/08/09 23:07:48 - mmengine - INFO - Epoch(train) [92][210/327] lr: 5.000000e-04 eta: 3:46:16 time: 0.348480 data_time: 0.031675 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.910646 2023/08/09 23:07:51 - mmengine - INFO - Epoch(train) [92][220/327] lr: 5.000000e-04 eta: 3:46:12 time: 0.347056 data_time: 0.031755 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.904444 2023/08/09 23:07:55 - mmengine - INFO - Epoch(train) [92][230/327] lr: 5.000000e-04 eta: 3:46:09 time: 0.346397 data_time: 0.031410 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.932184 2023/08/09 23:07:58 - mmengine - INFO - Epoch(train) [92][240/327] lr: 5.000000e-04 eta: 3:46:05 time: 0.347977 data_time: 0.032216 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.894624 2023/08/09 23:07:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:08:02 - mmengine - INFO - Epoch(train) [92][250/327] lr: 5.000000e-04 eta: 3:46:02 time: 0.347781 data_time: 0.032137 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.917181 2023/08/09 23:08:05 - mmengine - INFO - Epoch(train) [92][260/327] lr: 5.000000e-04 eta: 3:45:58 time: 0.349254 data_time: 0.031890 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.864378 2023/08/09 23:08:09 - mmengine - INFO - Epoch(train) [92][270/327] lr: 5.000000e-04 eta: 3:45:55 time: 0.355041 data_time: 0.032215 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.849501 2023/08/09 23:08:13 - mmengine - INFO - Epoch(train) [92][280/327] lr: 5.000000e-04 eta: 3:45:52 time: 0.362260 data_time: 0.034056 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.848993 2023/08/09 23:08:17 - mmengine - INFO - Epoch(train) [92][290/327] lr: 5.000000e-04 eta: 3:45:49 time: 0.370649 data_time: 0.037362 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.870294 2023/08/09 23:08:21 - mmengine - INFO - Epoch(train) [92][300/327] lr: 5.000000e-04 eta: 3:45:45 time: 0.373283 data_time: 0.038099 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.816287 2023/08/09 23:08:24 - mmengine - INFO - Epoch(train) [92][310/327] lr: 5.000000e-04 eta: 3:45:42 time: 0.377627 data_time: 0.038904 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.878079 2023/08/09 23:08:28 - mmengine - INFO - Epoch(train) [92][320/327] lr: 5.000000e-04 eta: 3:45:39 time: 0.373079 data_time: 0.038976 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.884583 2023/08/09 23:08:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:08:34 - mmengine - INFO - Epoch(train) [93][ 10/327] lr: 5.000000e-04 eta: 3:45:33 time: 0.359746 data_time: 0.037322 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.940741 2023/08/09 23:08:37 - mmengine - INFO - Epoch(train) [93][ 20/327] lr: 5.000000e-04 eta: 3:45:29 time: 0.356355 data_time: 0.036653 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.929055 2023/08/09 23:08:41 - mmengine - INFO - Epoch(train) [93][ 30/327] lr: 5.000000e-04 eta: 3:45:26 time: 0.350343 data_time: 0.035839 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.973148 2023/08/09 23:08:44 - mmengine - INFO - Epoch(train) [93][ 40/327] lr: 5.000000e-04 eta: 3:45:22 time: 0.347555 data_time: 0.035852 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.829472 2023/08/09 23:08:48 - mmengine - INFO - Epoch(train) [93][ 50/327] lr: 5.000000e-04 eta: 3:45:18 time: 0.348004 data_time: 0.036519 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.881759 2023/08/09 23:08:51 - mmengine - INFO - Epoch(train) [93][ 60/327] lr: 5.000000e-04 eta: 3:45:15 time: 0.344882 data_time: 0.031762 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.857074 2023/08/09 23:08:54 - mmengine - INFO - Epoch(train) [93][ 70/327] lr: 5.000000e-04 eta: 3:45:11 time: 0.341886 data_time: 0.032108 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.903835 2023/08/09 23:08:58 - mmengine - INFO - Epoch(train) [93][ 80/327] lr: 5.000000e-04 eta: 3:45:07 time: 0.339587 data_time: 0.031595 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.911875 2023/08/09 23:09:01 - mmengine - INFO - Epoch(train) [93][ 90/327] lr: 5.000000e-04 eta: 3:45:04 time: 0.337254 data_time: 0.030816 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.885215 2023/08/09 23:09:04 - mmengine - INFO - Epoch(train) [93][100/327] lr: 5.000000e-04 eta: 3:45:00 time: 0.336271 data_time: 0.030763 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.900064 2023/08/09 23:09:08 - mmengine - INFO - Epoch(train) [93][110/327] lr: 5.000000e-04 eta: 3:44:57 time: 0.339764 data_time: 0.030884 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.896388 2023/08/09 23:09:11 - mmengine - INFO - Epoch(train) [93][120/327] lr: 5.000000e-04 eta: 3:44:53 time: 0.341488 data_time: 0.030488 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.872297 2023/08/09 23:09:15 - mmengine - INFO - Epoch(train) [93][130/327] lr: 5.000000e-04 eta: 3:44:49 time: 0.343563 data_time: 0.030914 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.870685 2023/08/09 23:09:18 - mmengine - INFO - Epoch(train) [93][140/327] lr: 5.000000e-04 eta: 3:44:46 time: 0.347467 data_time: 0.031274 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.862228 2023/08/09 23:09:22 - mmengine - INFO - Epoch(train) [93][150/327] lr: 5.000000e-04 eta: 3:44:42 time: 0.347516 data_time: 0.031845 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.875479 2023/08/09 23:09:25 - mmengine - INFO - Epoch(train) [93][160/327] lr: 5.000000e-04 eta: 3:44:39 time: 0.342085 data_time: 0.032744 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.927638 2023/08/09 23:09:28 - mmengine - INFO - Epoch(train) [93][170/327] lr: 5.000000e-04 eta: 3:44:35 time: 0.340073 data_time: 0.033151 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.896978 2023/08/09 23:09:32 - mmengine - INFO - Epoch(train) [93][180/327] lr: 5.000000e-04 eta: 3:44:31 time: 0.340063 data_time: 0.032947 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.889368 2023/08/09 23:09:35 - mmengine - INFO - Epoch(train) [93][190/327] lr: 5.000000e-04 eta: 3:44:28 time: 0.339142 data_time: 0.032981 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.956589 2023/08/09 23:09:39 - mmengine - INFO - Epoch(train) [93][200/327] lr: 5.000000e-04 eta: 3:44:24 time: 0.340249 data_time: 0.032635 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.868801 2023/08/09 23:09:42 - mmengine - INFO - Epoch(train) [93][210/327] lr: 5.000000e-04 eta: 3:44:21 time: 0.344065 data_time: 0.034754 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.909346 2023/08/09 23:09:46 - mmengine - INFO - Epoch(train) [93][220/327] lr: 5.000000e-04 eta: 3:44:17 time: 0.343315 data_time: 0.034208 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.926958 2023/08/09 23:09:49 - mmengine - INFO - Epoch(train) [93][230/327] lr: 5.000000e-04 eta: 3:44:13 time: 0.342326 data_time: 0.034364 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.957376 2023/08/09 23:09:52 - mmengine - INFO - Epoch(train) [93][240/327] lr: 5.000000e-04 eta: 3:44:09 time: 0.338660 data_time: 0.033944 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.848116 2023/08/09 23:09:56 - mmengine - INFO - Epoch(train) [93][250/327] lr: 5.000000e-04 eta: 3:44:06 time: 0.337561 data_time: 0.033694 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.896305 2023/08/09 23:09:59 - mmengine - INFO - Epoch(train) [93][260/327] lr: 5.000000e-04 eta: 3:44:02 time: 0.336592 data_time: 0.030523 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.949694 2023/08/09 23:10:03 - mmengine - INFO - Epoch(train) [93][270/327] lr: 5.000000e-04 eta: 3:43:58 time: 0.338110 data_time: 0.030842 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.955619 2023/08/09 23:10:06 - mmengine - INFO - Epoch(train) [93][280/327] lr: 5.000000e-04 eta: 3:43:55 time: 0.342511 data_time: 0.033737 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.848429 2023/08/09 23:10:09 - mmengine - INFO - Epoch(train) [93][290/327] lr: 5.000000e-04 eta: 3:43:51 time: 0.342965 data_time: 0.033912 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.851918 2023/08/09 23:10:13 - mmengine - INFO - Epoch(train) [93][300/327] lr: 5.000000e-04 eta: 3:43:48 time: 0.342033 data_time: 0.033919 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.893280 2023/08/09 23:10:16 - mmengine - INFO - Epoch(train) [93][310/327] lr: 5.000000e-04 eta: 3:43:44 time: 0.337621 data_time: 0.033683 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.849082 2023/08/09 23:10:19 - mmengine - INFO - Epoch(train) [93][320/327] lr: 5.000000e-04 eta: 3:43:40 time: 0.335846 data_time: 0.033338 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.951923 2023/08/09 23:10:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:10:25 - mmengine - INFO - Epoch(train) [94][ 10/327] lr: 5.000000e-04 eta: 3:43:34 time: 0.336413 data_time: 0.032991 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.879495 2023/08/09 23:10:29 - mmengine - INFO - Epoch(train) [94][ 20/327] lr: 5.000000e-04 eta: 3:43:30 time: 0.338532 data_time: 0.033006 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.916667 2023/08/09 23:10:32 - mmengine - INFO - Epoch(train) [94][ 30/327] lr: 5.000000e-04 eta: 3:43:27 time: 0.345306 data_time: 0.033588 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.896162 2023/08/09 23:10:36 - mmengine - INFO - Epoch(train) [94][ 40/327] lr: 5.000000e-04 eta: 3:43:24 time: 0.354999 data_time: 0.033589 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.884852 2023/08/09 23:10:40 - mmengine - INFO - Epoch(train) [94][ 50/327] lr: 5.000000e-04 eta: 3:43:21 time: 0.365029 data_time: 0.034589 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.927176 2023/08/09 23:10:44 - mmengine - INFO - Epoch(train) [94][ 60/327] lr: 5.000000e-04 eta: 3:43:18 time: 0.366493 data_time: 0.030734 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.959121 2023/08/09 23:10:47 - mmengine - INFO - Epoch(train) [94][ 70/327] lr: 5.000000e-04 eta: 3:43:14 time: 0.370844 data_time: 0.031017 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.956258 2023/08/09 23:10:51 - mmengine - INFO - Epoch(train) [94][ 80/327] lr: 5.000000e-04 eta: 3:43:11 time: 0.368145 data_time: 0.031003 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.858748 2023/08/09 23:10:54 - mmengine - INFO - Epoch(train) [94][ 90/327] lr: 5.000000e-04 eta: 3:43:07 time: 0.361364 data_time: 0.031251 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.849754 2023/08/09 23:10:58 - mmengine - INFO - Epoch(train) [94][100/327] lr: 5.000000e-04 eta: 3:43:04 time: 0.359300 data_time: 0.031462 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.915517 2023/08/09 23:11:01 - mmengine - INFO - Epoch(train) [94][110/327] lr: 5.000000e-04 eta: 3:43:00 time: 0.352917 data_time: 0.031148 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.868997 2023/08/09 23:11:05 - mmengine - INFO - Epoch(train) [94][120/327] lr: 5.000000e-04 eta: 3:42:56 time: 0.348805 data_time: 0.030939 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.875783 2023/08/09 23:11:08 - mmengine - INFO - Epoch(train) [94][130/327] lr: 5.000000e-04 eta: 3:42:53 time: 0.350329 data_time: 0.033398 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.956486 2023/08/09 23:11:12 - mmengine - INFO - Epoch(train) [94][140/327] lr: 5.000000e-04 eta: 3:42:50 time: 0.351492 data_time: 0.033486 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.867604 2023/08/09 23:11:15 - mmengine - INFO - Epoch(train) [94][150/327] lr: 5.000000e-04 eta: 3:42:46 time: 0.351324 data_time: 0.033595 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.923543 2023/08/09 23:11:19 - mmengine - INFO - Epoch(train) [94][160/327] lr: 5.000000e-04 eta: 3:42:43 time: 0.355482 data_time: 0.033787 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.964594 2023/08/09 23:11:23 - mmengine - INFO - Epoch(train) [94][170/327] lr: 5.000000e-04 eta: 3:42:39 time: 0.356217 data_time: 0.034171 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.909103 2023/08/09 23:11:26 - mmengine - INFO - Epoch(train) [94][180/327] lr: 5.000000e-04 eta: 3:42:36 time: 0.353215 data_time: 0.031305 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.896073 2023/08/09 23:11:29 - mmengine - INFO - Epoch(train) [94][190/327] lr: 5.000000e-04 eta: 3:42:32 time: 0.351757 data_time: 0.031099 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.847608 2023/08/09 23:11:33 - mmengine - INFO - Epoch(train) [94][200/327] lr: 5.000000e-04 eta: 3:42:28 time: 0.348270 data_time: 0.031002 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.916897 2023/08/09 23:11:36 - mmengine - INFO - Epoch(train) [94][210/327] lr: 5.000000e-04 eta: 3:42:25 time: 0.343983 data_time: 0.031405 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.958046 2023/08/09 23:11:40 - mmengine - INFO - Epoch(train) [94][220/327] lr: 5.000000e-04 eta: 3:42:21 time: 0.345047 data_time: 0.031327 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.919267 2023/08/09 23:11:43 - mmengine - INFO - Epoch(train) [94][230/327] lr: 5.000000e-04 eta: 3:42:18 time: 0.346860 data_time: 0.032049 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.910668 2023/08/09 23:11:47 - mmengine - INFO - Epoch(train) [94][240/327] lr: 5.000000e-04 eta: 3:42:14 time: 0.349852 data_time: 0.032353 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.956548 2023/08/09 23:11:50 - mmengine - INFO - Epoch(train) [94][250/327] lr: 5.000000e-04 eta: 3:42:11 time: 0.349353 data_time: 0.032140 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.889262 2023/08/09 23:11:54 - mmengine - INFO - Epoch(train) [94][260/327] lr: 5.000000e-04 eta: 3:42:07 time: 0.348973 data_time: 0.031572 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.868573 2023/08/09 23:11:57 - mmengine - INFO - Epoch(train) [94][270/327] lr: 5.000000e-04 eta: 3:42:04 time: 0.348473 data_time: 0.031883 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.925159 2023/08/09 23:12:01 - mmengine - INFO - Epoch(train) [94][280/327] lr: 5.000000e-04 eta: 3:42:00 time: 0.347469 data_time: 0.031589 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.936745 2023/08/09 23:12:04 - mmengine - INFO - Epoch(train) [94][290/327] lr: 5.000000e-04 eta: 3:41:57 time: 0.345706 data_time: 0.031437 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.853546 2023/08/09 23:12:08 - mmengine - INFO - Epoch(train) [94][300/327] lr: 5.000000e-04 eta: 3:41:53 time: 0.351899 data_time: 0.034653 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.898851 2023/08/09 23:12:12 - mmengine - INFO - Epoch(train) [94][310/327] lr: 5.000000e-04 eta: 3:41:50 time: 0.356372 data_time: 0.035233 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.821073 2023/08/09 23:12:15 - mmengine - INFO - Epoch(train) [94][320/327] lr: 5.000000e-04 eta: 3:41:47 time: 0.356542 data_time: 0.034708 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.801882 2023/08/09 23:12:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:12:21 - mmengine - INFO - Epoch(train) [95][ 10/327] lr: 5.000000e-04 eta: 3:41:40 time: 0.354587 data_time: 0.036900 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.930706 2023/08/09 23:12:24 - mmengine - INFO - Epoch(train) [95][ 20/327] lr: 5.000000e-04 eta: 3:41:37 time: 0.350578 data_time: 0.036435 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.785776 2023/08/09 23:12:28 - mmengine - INFO - Epoch(train) [95][ 30/327] lr: 5.000000e-04 eta: 3:41:33 time: 0.340967 data_time: 0.033462 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.922085 2023/08/09 23:12:31 - mmengine - INFO - Epoch(train) [95][ 40/327] lr: 5.000000e-04 eta: 3:41:29 time: 0.339879 data_time: 0.033408 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.894907 2023/08/09 23:12:35 - mmengine - INFO - Epoch(train) [95][ 50/327] lr: 5.000000e-04 eta: 3:41:26 time: 0.343622 data_time: 0.034822 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.938690 2023/08/09 23:12:38 - mmengine - INFO - Epoch(train) [95][ 60/327] lr: 5.000000e-04 eta: 3:41:22 time: 0.341400 data_time: 0.031404 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.895213 2023/08/09 23:12:41 - mmengine - INFO - Epoch(train) [95][ 70/327] lr: 5.000000e-04 eta: 3:41:19 time: 0.341788 data_time: 0.031953 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.909103 2023/08/09 23:12:45 - mmengine - INFO - Epoch(train) [95][ 80/327] lr: 5.000000e-04 eta: 3:41:15 time: 0.341383 data_time: 0.032086 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.880589 2023/08/09 23:12:48 - mmengine - INFO - Epoch(train) [95][ 90/327] lr: 5.000000e-04 eta: 3:41:11 time: 0.338196 data_time: 0.031736 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.818762 2023/08/09 23:12:51 - mmengine - INFO - Epoch(train) [95][100/327] lr: 5.000000e-04 eta: 3:41:08 time: 0.336478 data_time: 0.031341 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.899347 2023/08/09 23:12:55 - mmengine - INFO - Epoch(train) [95][110/327] lr: 5.000000e-04 eta: 3:41:04 time: 0.344294 data_time: 0.031385 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.850149 2023/08/09 23:12:59 - mmengine - INFO - Epoch(train) [95][120/327] lr: 5.000000e-04 eta: 3:41:01 time: 0.350965 data_time: 0.031445 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.932553 2023/08/09 23:13:03 - mmengine - INFO - Epoch(train) [95][130/327] lr: 5.000000e-04 eta: 3:40:58 time: 0.357606 data_time: 0.031442 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.849605 2023/08/09 23:13:06 - mmengine - INFO - Epoch(train) [95][140/327] lr: 5.000000e-04 eta: 3:40:54 time: 0.360059 data_time: 0.031439 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.883173 2023/08/09 23:13:09 - mmengine - INFO - Epoch(train) [95][150/327] lr: 5.000000e-04 eta: 3:40:50 time: 0.358944 data_time: 0.031544 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.879045 2023/08/09 23:13:13 - mmengine - INFO - Epoch(train) [95][160/327] lr: 5.000000e-04 eta: 3:40:47 time: 0.351372 data_time: 0.031754 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.834802 2023/08/09 23:13:16 - mmengine - INFO - Epoch(train) [95][170/327] lr: 5.000000e-04 eta: 3:40:43 time: 0.346121 data_time: 0.031409 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.899609 2023/08/09 23:13:20 - mmengine - INFO - Epoch(train) [95][180/327] lr: 5.000000e-04 eta: 3:40:40 time: 0.345138 data_time: 0.031501 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.886508 2023/08/09 23:13:23 - mmengine - INFO - Epoch(train) [95][190/327] lr: 5.000000e-04 eta: 3:40:36 time: 0.346832 data_time: 0.032990 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.941379 2023/08/09 23:13:27 - mmengine - INFO - Epoch(train) [95][200/327] lr: 5.000000e-04 eta: 3:40:33 time: 0.349155 data_time: 0.032968 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.855552 2023/08/09 23:13:30 - mmengine - INFO - Epoch(train) [95][210/327] lr: 5.000000e-04 eta: 3:40:29 time: 0.351557 data_time: 0.032528 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.871882 2023/08/09 23:13:34 - mmengine - INFO - Epoch(train) [95][220/327] lr: 5.000000e-04 eta: 3:40:26 time: 0.350082 data_time: 0.032377 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.879038 2023/08/09 23:13:37 - mmengine - INFO - Epoch(train) [95][230/327] lr: 5.000000e-04 eta: 3:40:22 time: 0.344614 data_time: 0.032325 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.891898 2023/08/09 23:13:40 - mmengine - INFO - Epoch(train) [95][240/327] lr: 5.000000e-04 eta: 3:40:18 time: 0.340337 data_time: 0.030624 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.904990 2023/08/09 23:13:44 - mmengine - INFO - Epoch(train) [95][250/327] lr: 5.000000e-04 eta: 3:40:15 time: 0.341173 data_time: 0.031710 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.906897 2023/08/09 23:13:47 - mmengine - INFO - Epoch(train) [95][260/327] lr: 5.000000e-04 eta: 3:40:11 time: 0.341997 data_time: 0.032678 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.921767 2023/08/09 23:13:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:13:51 - mmengine - INFO - Epoch(train) [95][270/327] lr: 5.000000e-04 eta: 3:40:08 time: 0.343216 data_time: 0.033111 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.797665 2023/08/09 23:13:54 - mmengine - INFO - Epoch(train) [95][280/327] lr: 5.000000e-04 eta: 3:40:04 time: 0.344482 data_time: 0.033029 memory: 4563 loss: 0.000678 loss_kpt: 0.000678 acc_pose: 0.890122 2023/08/09 23:13:58 - mmengine - INFO - Epoch(train) [95][290/327] lr: 5.000000e-04 eta: 3:40:00 time: 0.345295 data_time: 0.033064 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.946360 2023/08/09 23:14:01 - mmengine - INFO - Epoch(train) [95][300/327] lr: 5.000000e-04 eta: 3:39:57 time: 0.345936 data_time: 0.035603 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.925902 2023/08/09 23:14:05 - mmengine - INFO - Epoch(train) [95][310/327] lr: 5.000000e-04 eta: 3:39:53 time: 0.343983 data_time: 0.034641 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.929039 2023/08/09 23:14:08 - mmengine - INFO - Epoch(train) [95][320/327] lr: 5.000000e-04 eta: 3:39:50 time: 0.344983 data_time: 0.034576 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.859425 2023/08/09 23:14:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:14:15 - mmengine - INFO - Epoch(train) [96][ 10/327] lr: 5.000000e-04 eta: 3:39:44 time: 0.356265 data_time: 0.039567 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.885422 2023/08/09 23:14:18 - mmengine - INFO - Epoch(train) [96][ 20/327] lr: 5.000000e-04 eta: 3:39:41 time: 0.355310 data_time: 0.036538 memory: 4563 loss: 0.000689 loss_kpt: 0.000689 acc_pose: 0.875962 2023/08/09 23:14:22 - mmengine - INFO - Epoch(train) [96][ 30/327] lr: 5.000000e-04 eta: 3:39:37 time: 0.356110 data_time: 0.036337 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.885359 2023/08/09 23:14:25 - mmengine - INFO - Epoch(train) [96][ 40/327] lr: 5.000000e-04 eta: 3:39:34 time: 0.358351 data_time: 0.036058 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.932336 2023/08/09 23:14:28 - mmengine - INFO - Epoch(train) [96][ 50/327] lr: 5.000000e-04 eta: 3:39:30 time: 0.357356 data_time: 0.036790 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.879613 2023/08/09 23:14:32 - mmengine - INFO - Epoch(train) [96][ 60/327] lr: 5.000000e-04 eta: 3:39:27 time: 0.348570 data_time: 0.031269 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.912562 2023/08/09 23:14:35 - mmengine - INFO - Epoch(train) [96][ 70/327] lr: 5.000000e-04 eta: 3:39:23 time: 0.347014 data_time: 0.031322 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.907616 2023/08/09 23:14:39 - mmengine - INFO - Epoch(train) [96][ 80/327] lr: 5.000000e-04 eta: 3:39:19 time: 0.344109 data_time: 0.031399 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.868242 2023/08/09 23:14:42 - mmengine - INFO - Epoch(train) [96][ 90/327] lr: 5.000000e-04 eta: 3:39:16 time: 0.341671 data_time: 0.031851 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.903004 2023/08/09 23:14:46 - mmengine - INFO - Epoch(train) [96][100/327] lr: 5.000000e-04 eta: 3:39:12 time: 0.344820 data_time: 0.032433 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.915230 2023/08/09 23:14:49 - mmengine - INFO - Epoch(train) [96][110/327] lr: 5.000000e-04 eta: 3:39:09 time: 0.346333 data_time: 0.032178 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.840517 2023/08/09 23:14:53 - mmengine - INFO - Epoch(train) [96][120/327] lr: 5.000000e-04 eta: 3:39:05 time: 0.345069 data_time: 0.032217 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.878181 2023/08/09 23:14:56 - mmengine - INFO - Epoch(train) [96][130/327] lr: 5.000000e-04 eta: 3:39:01 time: 0.343156 data_time: 0.031694 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.932184 2023/08/09 23:14:59 - mmengine - INFO - Epoch(train) [96][140/327] lr: 5.000000e-04 eta: 3:38:58 time: 0.343533 data_time: 0.031680 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.897989 2023/08/09 23:15:03 - mmengine - INFO - Epoch(train) [96][150/327] lr: 5.000000e-04 eta: 3:38:54 time: 0.340705 data_time: 0.031450 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.924963 2023/08/09 23:15:06 - mmengine - INFO - Epoch(train) [96][160/327] lr: 5.000000e-04 eta: 3:38:51 time: 0.340783 data_time: 0.031915 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.882184 2023/08/09 23:15:10 - mmengine - INFO - Epoch(train) [96][170/327] lr: 5.000000e-04 eta: 3:38:47 time: 0.343290 data_time: 0.031945 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.854460 2023/08/09 23:15:13 - mmengine - INFO - Epoch(train) [96][180/327] lr: 5.000000e-04 eta: 3:38:44 time: 0.345894 data_time: 0.032096 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.890097 2023/08/09 23:15:17 - mmengine - INFO - Epoch(train) [96][190/327] lr: 5.000000e-04 eta: 3:38:40 time: 0.344776 data_time: 0.031584 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.796839 2023/08/09 23:15:20 - mmengine - INFO - Epoch(train) [96][200/327] lr: 5.000000e-04 eta: 3:38:36 time: 0.342757 data_time: 0.030949 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.941092 2023/08/09 23:15:24 - mmengine - INFO - Epoch(train) [96][210/327] lr: 5.000000e-04 eta: 3:38:33 time: 0.345695 data_time: 0.030479 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.921775 2023/08/09 23:15:27 - mmengine - INFO - Epoch(train) [96][220/327] lr: 5.000000e-04 eta: 3:38:30 time: 0.353396 data_time: 0.030426 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.937436 2023/08/09 23:15:31 - mmengine - INFO - Epoch(train) [96][230/327] lr: 5.000000e-04 eta: 3:38:26 time: 0.357917 data_time: 0.030442 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.866555 2023/08/09 23:15:34 - mmengine - INFO - Epoch(train) [96][240/327] lr: 5.000000e-04 eta: 3:38:23 time: 0.358793 data_time: 0.030618 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.928480 2023/08/09 23:15:38 - mmengine - INFO - Epoch(train) [96][250/327] lr: 5.000000e-04 eta: 3:38:19 time: 0.360220 data_time: 0.031641 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.860997 2023/08/09 23:15:41 - mmengine - INFO - Epoch(train) [96][260/327] lr: 5.000000e-04 eta: 3:38:16 time: 0.354460 data_time: 0.032190 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.918496 2023/08/09 23:15:45 - mmengine - INFO - Epoch(train) [96][270/327] lr: 5.000000e-04 eta: 3:38:12 time: 0.349245 data_time: 0.035328 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.860119 2023/08/09 23:15:48 - mmengine - INFO - Epoch(train) [96][280/327] lr: 5.000000e-04 eta: 3:38:08 time: 0.341808 data_time: 0.035011 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.890368 2023/08/09 23:15:52 - mmengine - INFO - Epoch(train) [96][290/327] lr: 5.000000e-04 eta: 3:38:05 time: 0.341946 data_time: 0.034914 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.885465 2023/08/09 23:15:55 - mmengine - INFO - Epoch(train) [96][300/327] lr: 5.000000e-04 eta: 3:38:01 time: 0.341719 data_time: 0.034182 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.833125 2023/08/09 23:15:58 - mmengine - INFO - Epoch(train) [96][310/327] lr: 5.000000e-04 eta: 3:37:57 time: 0.340235 data_time: 0.034076 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.870895 2023/08/09 23:16:02 - mmengine - INFO - Epoch(train) [96][320/327] lr: 5.000000e-04 eta: 3:37:54 time: 0.344526 data_time: 0.031653 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.923892 2023/08/09 23:16:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:16:09 - mmengine - INFO - Epoch(train) [97][ 10/327] lr: 5.000000e-04 eta: 3:37:49 time: 0.362564 data_time: 0.035774 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.946429 2023/08/09 23:16:13 - mmengine - INFO - Epoch(train) [97][ 20/327] lr: 5.000000e-04 eta: 3:37:46 time: 0.372107 data_time: 0.036056 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.848762 2023/08/09 23:16:16 - mmengine - INFO - Epoch(train) [97][ 30/327] lr: 5.000000e-04 eta: 3:37:43 time: 0.379067 data_time: 0.035909 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.940211 2023/08/09 23:16:20 - mmengine - INFO - Epoch(train) [97][ 40/327] lr: 5.000000e-04 eta: 3:37:39 time: 0.379769 data_time: 0.035258 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.828726 2023/08/09 23:16:24 - mmengine - INFO - Epoch(train) [97][ 50/327] lr: 5.000000e-04 eta: 3:37:36 time: 0.383267 data_time: 0.036862 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.930686 2023/08/09 23:16:27 - mmengine - INFO - Epoch(train) [97][ 60/327] lr: 5.000000e-04 eta: 3:37:33 time: 0.373478 data_time: 0.032538 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.866237 2023/08/09 23:16:31 - mmengine - INFO - Epoch(train) [97][ 70/327] lr: 5.000000e-04 eta: 3:37:29 time: 0.362866 data_time: 0.031996 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.871610 2023/08/09 23:16:34 - mmengine - INFO - Epoch(train) [97][ 80/327] lr: 5.000000e-04 eta: 3:37:26 time: 0.357863 data_time: 0.031666 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.883204 2023/08/09 23:16:38 - mmengine - INFO - Epoch(train) [97][ 90/327] lr: 5.000000e-04 eta: 3:37:22 time: 0.353961 data_time: 0.031338 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.926822 2023/08/09 23:16:41 - mmengine - INFO - Epoch(train) [97][100/327] lr: 5.000000e-04 eta: 3:37:19 time: 0.346481 data_time: 0.030344 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.884674 2023/08/09 23:16:45 - mmengine - INFO - Epoch(train) [97][110/327] lr: 5.000000e-04 eta: 3:37:15 time: 0.343062 data_time: 0.030024 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.938732 2023/08/09 23:16:48 - mmengine - INFO - Epoch(train) [97][120/327] lr: 5.000000e-04 eta: 3:37:11 time: 0.343891 data_time: 0.030189 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.896590 2023/08/09 23:16:51 - mmengine - INFO - Epoch(train) [97][130/327] lr: 5.000000e-04 eta: 3:37:08 time: 0.342558 data_time: 0.030848 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.927471 2023/08/09 23:16:55 - mmengine - INFO - Epoch(train) [97][140/327] lr: 5.000000e-04 eta: 3:37:04 time: 0.338853 data_time: 0.030765 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.851899 2023/08/09 23:16:58 - mmengine - INFO - Epoch(train) [97][150/327] lr: 5.000000e-04 eta: 3:37:00 time: 0.338306 data_time: 0.030679 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.859010 2023/08/09 23:17:01 - mmengine - INFO - Epoch(train) [97][160/327] lr: 5.000000e-04 eta: 3:36:57 time: 0.337105 data_time: 0.030634 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.908795 2023/08/09 23:17:05 - mmengine - INFO - Epoch(train) [97][170/327] lr: 5.000000e-04 eta: 3:36:53 time: 0.335626 data_time: 0.030487 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.907722 2023/08/09 23:17:08 - mmengine - INFO - Epoch(train) [97][180/327] lr: 5.000000e-04 eta: 3:36:49 time: 0.335821 data_time: 0.030242 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.873148 2023/08/09 23:17:12 - mmengine - INFO - Epoch(train) [97][190/327] lr: 5.000000e-04 eta: 3:36:46 time: 0.339875 data_time: 0.030512 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.891630 2023/08/09 23:17:15 - mmengine - INFO - Epoch(train) [97][200/327] lr: 5.000000e-04 eta: 3:36:42 time: 0.338842 data_time: 0.030909 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.859375 2023/08/09 23:17:18 - mmengine - INFO - Epoch(train) [97][210/327] lr: 5.000000e-04 eta: 3:36:38 time: 0.340130 data_time: 0.031365 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.835317 2023/08/09 23:17:22 - mmengine - INFO - Epoch(train) [97][220/327] lr: 5.000000e-04 eta: 3:36:35 time: 0.340184 data_time: 0.031377 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.888906 2023/08/09 23:17:25 - mmengine - INFO - Epoch(train) [97][230/327] lr: 5.000000e-04 eta: 3:36:31 time: 0.338826 data_time: 0.030943 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.934019 2023/08/09 23:17:29 - mmengine - INFO - Epoch(train) [97][240/327] lr: 5.000000e-04 eta: 3:36:27 time: 0.338193 data_time: 0.030873 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.910734 2023/08/09 23:17:32 - mmengine - INFO - Epoch(train) [97][250/327] lr: 5.000000e-04 eta: 3:36:24 time: 0.338118 data_time: 0.030690 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.872710 2023/08/09 23:17:35 - mmengine - INFO - Epoch(train) [97][260/327] lr: 5.000000e-04 eta: 3:36:20 time: 0.339051 data_time: 0.030531 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.897329 2023/08/09 23:17:39 - mmengine - INFO - Epoch(train) [97][270/327] lr: 5.000000e-04 eta: 3:36:16 time: 0.339551 data_time: 0.031060 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.859085 2023/08/09 23:17:42 - mmengine - INFO - Epoch(train) [97][280/327] lr: 5.000000e-04 eta: 3:36:13 time: 0.343568 data_time: 0.031575 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.876824 2023/08/09 23:17:46 - mmengine - INFO - Epoch(train) [97][290/327] lr: 5.000000e-04 eta: 3:36:09 time: 0.341643 data_time: 0.032844 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.880552 2023/08/09 23:17:49 - mmengine - INFO - Epoch(train) [97][300/327] lr: 5.000000e-04 eta: 3:36:06 time: 0.342590 data_time: 0.032682 memory: 4563 loss: 0.000679 loss_kpt: 0.000679 acc_pose: 0.926061 2023/08/09 23:17:53 - mmengine - INFO - Epoch(train) [97][310/327] lr: 5.000000e-04 eta: 3:36:02 time: 0.343110 data_time: 0.032398 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.909562 2023/08/09 23:17:56 - mmengine - INFO - Epoch(train) [97][320/327] lr: 5.000000e-04 eta: 3:35:59 time: 0.344989 data_time: 0.032031 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.896667 2023/08/09 23:17:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:18:02 - mmengine - INFO - Epoch(train) [98][ 10/327] lr: 5.000000e-04 eta: 3:35:53 time: 0.348573 data_time: 0.035078 memory: 4563 loss: 0.000673 loss_kpt: 0.000673 acc_pose: 0.866878 2023/08/09 23:18:06 - mmengine - INFO - Epoch(train) [98][ 20/327] lr: 5.000000e-04 eta: 3:35:49 time: 0.349626 data_time: 0.034460 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.838095 2023/08/09 23:18:09 - mmengine - INFO - Epoch(train) [98][ 30/327] lr: 5.000000e-04 eta: 3:35:46 time: 0.347709 data_time: 0.034541 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.901284 2023/08/09 23:18:12 - mmengine - INFO - Epoch(train) [98][ 40/327] lr: 5.000000e-04 eta: 3:35:42 time: 0.345671 data_time: 0.034392 memory: 4563 loss: 0.000666 loss_kpt: 0.000666 acc_pose: 0.862513 2023/08/09 23:18:16 - mmengine - INFO - Epoch(train) [98][ 50/327] lr: 5.000000e-04 eta: 3:35:38 time: 0.343567 data_time: 0.034722 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.965741 2023/08/09 23:18:19 - mmengine - INFO - Epoch(train) [98][ 60/327] lr: 5.000000e-04 eta: 3:35:35 time: 0.340536 data_time: 0.033239 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.882163 2023/08/09 23:18:23 - mmengine - INFO - Epoch(train) [98][ 70/327] lr: 5.000000e-04 eta: 3:35:31 time: 0.338278 data_time: 0.033243 memory: 4563 loss: 0.000667 loss_kpt: 0.000667 acc_pose: 0.874273 2023/08/09 23:18:26 - mmengine - INFO - Epoch(train) [98][ 80/327] lr: 5.000000e-04 eta: 3:35:28 time: 0.342122 data_time: 0.033639 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.975806 2023/08/09 23:18:29 - mmengine - INFO - Epoch(train) [98][ 90/327] lr: 5.000000e-04 eta: 3:35:24 time: 0.342758 data_time: 0.033892 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.859409 2023/08/09 23:18:33 - mmengine - INFO - Epoch(train) [98][100/327] lr: 5.000000e-04 eta: 3:35:20 time: 0.344534 data_time: 0.034159 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.929436 2023/08/09 23:18:36 - mmengine - INFO - Epoch(train) [98][110/327] lr: 5.000000e-04 eta: 3:35:17 time: 0.341717 data_time: 0.031340 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.908278 2023/08/09 23:18:40 - mmengine - INFO - Epoch(train) [98][120/327] lr: 5.000000e-04 eta: 3:35:13 time: 0.340950 data_time: 0.031177 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.897414 2023/08/09 23:18:43 - mmengine - INFO - Epoch(train) [98][130/327] lr: 5.000000e-04 eta: 3:35:09 time: 0.335886 data_time: 0.030711 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.983046 2023/08/09 23:18:46 - mmengine - INFO - Epoch(train) [98][140/327] lr: 5.000000e-04 eta: 3:35:06 time: 0.336229 data_time: 0.030661 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.816799 2023/08/09 23:18:50 - mmengine - INFO - Epoch(train) [98][150/327] lr: 5.000000e-04 eta: 3:35:02 time: 0.334655 data_time: 0.030435 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.882179 2023/08/09 23:18:53 - mmengine - INFO - Epoch(train) [98][160/327] lr: 5.000000e-04 eta: 3:34:58 time: 0.336311 data_time: 0.030627 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.925298 2023/08/09 23:18:57 - mmengine - INFO - Epoch(train) [98][170/327] lr: 5.000000e-04 eta: 3:34:55 time: 0.338638 data_time: 0.030550 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.924157 2023/08/09 23:19:00 - mmengine - INFO - Epoch(train) [98][180/327] lr: 5.000000e-04 eta: 3:34:51 time: 0.340471 data_time: 0.031464 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.924843 2023/08/09 23:19:03 - mmengine - INFO - Epoch(train) [98][190/327] lr: 5.000000e-04 eta: 3:34:47 time: 0.341735 data_time: 0.033766 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.848388 2023/08/09 23:19:07 - mmengine - INFO - Epoch(train) [98][200/327] lr: 5.000000e-04 eta: 3:34:44 time: 0.343823 data_time: 0.034085 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.861387 2023/08/09 23:19:10 - mmengine - INFO - Epoch(train) [98][210/327] lr: 5.000000e-04 eta: 3:34:41 time: 0.348526 data_time: 0.037219 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.911330 2023/08/09 23:19:14 - mmengine - INFO - Epoch(train) [98][220/327] lr: 5.000000e-04 eta: 3:34:37 time: 0.348298 data_time: 0.037317 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.887376 2023/08/09 23:19:17 - mmengine - INFO - Epoch(train) [98][230/327] lr: 5.000000e-04 eta: 3:34:34 time: 0.350292 data_time: 0.036717 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.864905 2023/08/09 23:19:21 - mmengine - INFO - Epoch(train) [98][240/327] lr: 5.000000e-04 eta: 3:34:30 time: 0.351677 data_time: 0.034646 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.894328 2023/08/09 23:19:24 - mmengine - INFO - Epoch(train) [98][250/327] lr: 5.000000e-04 eta: 3:34:26 time: 0.351610 data_time: 0.035169 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.891534 2023/08/09 23:19:28 - mmengine - INFO - Epoch(train) [98][260/327] lr: 5.000000e-04 eta: 3:34:23 time: 0.347659 data_time: 0.032495 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.894892 2023/08/09 23:19:31 - mmengine - INFO - Epoch(train) [98][270/327] lr: 5.000000e-04 eta: 3:34:19 time: 0.348987 data_time: 0.032732 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.920701 2023/08/09 23:19:35 - mmengine - INFO - Epoch(train) [98][280/327] lr: 5.000000e-04 eta: 3:34:16 time: 0.349532 data_time: 0.033312 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.900213 2023/08/09 23:19:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:19:39 - mmengine - INFO - Epoch(train) [98][290/327] lr: 5.000000e-04 eta: 3:34:13 time: 0.351069 data_time: 0.033435 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.967186 2023/08/09 23:19:42 - mmengine - INFO - Epoch(train) [98][300/327] lr: 5.000000e-04 eta: 3:34:09 time: 0.353924 data_time: 0.033041 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.890517 2023/08/09 23:19:46 - mmengine - INFO - Epoch(train) [98][310/327] lr: 5.000000e-04 eta: 3:34:06 time: 0.353784 data_time: 0.032469 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.899807 2023/08/09 23:19:49 - mmengine - INFO - Epoch(train) [98][320/327] lr: 5.000000e-04 eta: 3:34:02 time: 0.354016 data_time: 0.032652 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.848638 2023/08/09 23:19:51 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:19:55 - mmengine - INFO - Epoch(train) [99][ 10/327] lr: 5.000000e-04 eta: 3:33:56 time: 0.351652 data_time: 0.035583 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.896412 2023/08/09 23:19:59 - mmengine - INFO - Epoch(train) [99][ 20/327] lr: 5.000000e-04 eta: 3:33:53 time: 0.351712 data_time: 0.035053 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.941324 2023/08/09 23:20:02 - mmengine - INFO - Epoch(train) [99][ 30/327] lr: 5.000000e-04 eta: 3:33:49 time: 0.356522 data_time: 0.035159 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.958279 2023/08/09 23:20:06 - mmengine - INFO - Epoch(train) [99][ 40/327] lr: 5.000000e-04 eta: 3:33:46 time: 0.357396 data_time: 0.035187 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.867879 2023/08/09 23:20:10 - mmengine - INFO - Epoch(train) [99][ 50/327] lr: 5.000000e-04 eta: 3:33:43 time: 0.363186 data_time: 0.038602 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.957163 2023/08/09 23:20:13 - mmengine - INFO - Epoch(train) [99][ 60/327] lr: 5.000000e-04 eta: 3:33:39 time: 0.360667 data_time: 0.034820 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.894396 2023/08/09 23:20:16 - mmengine - INFO - Epoch(train) [99][ 70/327] lr: 5.000000e-04 eta: 3:33:35 time: 0.355601 data_time: 0.034900 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.925493 2023/08/09 23:20:20 - mmengine - INFO - Epoch(train) [99][ 80/327] lr: 5.000000e-04 eta: 3:33:32 time: 0.349403 data_time: 0.034776 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.909620 2023/08/09 23:20:23 - mmengine - INFO - Epoch(train) [99][ 90/327] lr: 5.000000e-04 eta: 3:33:28 time: 0.346871 data_time: 0.034570 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.888200 2023/08/09 23:20:27 - mmengine - INFO - Epoch(train) [99][100/327] lr: 5.000000e-04 eta: 3:33:25 time: 0.342947 data_time: 0.031624 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.905070 2023/08/09 23:20:30 - mmengine - INFO - Epoch(train) [99][110/327] lr: 5.000000e-04 eta: 3:33:21 time: 0.347515 data_time: 0.031466 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.870612 2023/08/09 23:20:34 - mmengine - INFO - Epoch(train) [99][120/327] lr: 5.000000e-04 eta: 3:33:18 time: 0.351043 data_time: 0.031646 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.940687 2023/08/09 23:20:38 - mmengine - INFO - Epoch(train) [99][130/327] lr: 5.000000e-04 eta: 3:33:15 time: 0.353816 data_time: 0.031968 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.914286 2023/08/09 23:20:41 - mmengine - INFO - Epoch(train) [99][140/327] lr: 5.000000e-04 eta: 3:33:11 time: 0.353433 data_time: 0.031847 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.881544 2023/08/09 23:20:44 - mmengine - INFO - Epoch(train) [99][150/327] lr: 5.000000e-04 eta: 3:33:07 time: 0.353120 data_time: 0.031984 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.900269 2023/08/09 23:20:48 - mmengine - INFO - Epoch(train) [99][160/327] lr: 5.000000e-04 eta: 3:33:04 time: 0.346382 data_time: 0.031549 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.931301 2023/08/09 23:20:51 - mmengine - INFO - Epoch(train) [99][170/327] lr: 5.000000e-04 eta: 3:33:00 time: 0.344135 data_time: 0.031469 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.892608 2023/08/09 23:20:55 - mmengine - INFO - Epoch(train) [99][180/327] lr: 5.000000e-04 eta: 3:32:57 time: 0.343559 data_time: 0.031512 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.859010 2023/08/09 23:20:58 - mmengine - INFO - Epoch(train) [99][190/327] lr: 5.000000e-04 eta: 3:32:53 time: 0.344050 data_time: 0.031382 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.934829 2023/08/09 23:21:02 - mmengine - INFO - Epoch(train) [99][200/327] lr: 5.000000e-04 eta: 3:32:50 time: 0.350634 data_time: 0.031346 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.889823 2023/08/09 23:21:05 - mmengine - INFO - Epoch(train) [99][210/327] lr: 5.000000e-04 eta: 3:32:46 time: 0.351629 data_time: 0.032046 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.896970 2023/08/09 23:21:09 - mmengine - INFO - Epoch(train) [99][220/327] lr: 5.000000e-04 eta: 3:32:43 time: 0.354749 data_time: 0.032171 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.917026 2023/08/09 23:21:13 - mmengine - INFO - Epoch(train) [99][230/327] lr: 5.000000e-04 eta: 3:32:40 time: 0.361129 data_time: 0.032291 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.881900 2023/08/09 23:21:17 - mmengine - INFO - Epoch(train) [99][240/327] lr: 5.000000e-04 eta: 3:32:36 time: 0.368540 data_time: 0.033099 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.935445 2023/08/09 23:21:20 - mmengine - INFO - Epoch(train) [99][250/327] lr: 5.000000e-04 eta: 3:32:33 time: 0.366314 data_time: 0.032813 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.846559 2023/08/09 23:21:24 - mmengine - INFO - Epoch(train) [99][260/327] lr: 5.000000e-04 eta: 3:32:30 time: 0.366226 data_time: 0.032155 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.886745 2023/08/09 23:21:27 - mmengine - INFO - Epoch(train) [99][270/327] lr: 5.000000e-04 eta: 3:32:26 time: 0.363467 data_time: 0.032066 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.910964 2023/08/09 23:21:31 - mmengine - INFO - Epoch(train) [99][280/327] lr: 5.000000e-04 eta: 3:32:22 time: 0.355101 data_time: 0.031444 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.888333 2023/08/09 23:21:34 - mmengine - INFO - Epoch(train) [99][290/327] lr: 5.000000e-04 eta: 3:32:19 time: 0.347073 data_time: 0.030622 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.976042 2023/08/09 23:21:37 - mmengine - INFO - Epoch(train) [99][300/327] lr: 5.000000e-04 eta: 3:32:15 time: 0.343127 data_time: 0.030542 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.888736 2023/08/09 23:21:41 - mmengine - INFO - Epoch(train) [99][310/327] lr: 5.000000e-04 eta: 3:32:12 time: 0.342328 data_time: 0.030387 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.934523 2023/08/09 23:21:44 - mmengine - INFO - Epoch(train) [99][320/327] lr: 5.000000e-04 eta: 3:32:08 time: 0.341561 data_time: 0.030737 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.902655 2023/08/09 23:21:47 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:21:51 - mmengine - INFO - Epoch(train) [100][ 10/327] lr: 5.000000e-04 eta: 3:32:02 time: 0.350102 data_time: 0.033830 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.904630 2023/08/09 23:21:54 - mmengine - INFO - Epoch(train) [100][ 20/327] lr: 5.000000e-04 eta: 3:31:59 time: 0.352692 data_time: 0.034379 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.892265 2023/08/09 23:21:58 - mmengine - INFO - Epoch(train) [100][ 30/327] lr: 5.000000e-04 eta: 3:31:55 time: 0.353840 data_time: 0.034969 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.855442 2023/08/09 23:22:01 - mmengine - INFO - Epoch(train) [100][ 40/327] lr: 5.000000e-04 eta: 3:31:52 time: 0.351426 data_time: 0.034395 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.867394 2023/08/09 23:22:04 - mmengine - INFO - Epoch(train) [100][ 50/327] lr: 5.000000e-04 eta: 3:31:48 time: 0.350849 data_time: 0.035656 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.911022 2023/08/09 23:22:08 - mmengine - INFO - Epoch(train) [100][ 60/327] lr: 5.000000e-04 eta: 3:31:44 time: 0.342173 data_time: 0.032282 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.870511 2023/08/09 23:22:11 - mmengine - INFO - Epoch(train) [100][ 70/327] lr: 5.000000e-04 eta: 3:31:41 time: 0.342331 data_time: 0.032193 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.804023 2023/08/09 23:22:15 - mmengine - INFO - Epoch(train) [100][ 80/327] lr: 5.000000e-04 eta: 3:31:37 time: 0.341160 data_time: 0.031779 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.918696 2023/08/09 23:22:18 - mmengine - INFO - Epoch(train) [100][ 90/327] lr: 5.000000e-04 eta: 3:31:34 time: 0.344895 data_time: 0.031941 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.949963 2023/08/09 23:22:21 - mmengine - INFO - Epoch(train) [100][100/327] lr: 5.000000e-04 eta: 3:31:30 time: 0.346214 data_time: 0.031617 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.846630 2023/08/09 23:22:25 - mmengine - INFO - Epoch(train) [100][110/327] lr: 5.000000e-04 eta: 3:31:26 time: 0.345381 data_time: 0.031023 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.905398 2023/08/09 23:22:28 - mmengine - INFO - Epoch(train) [100][120/327] lr: 5.000000e-04 eta: 3:31:23 time: 0.342418 data_time: 0.031371 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.921467 2023/08/09 23:22:32 - mmengine - INFO - Epoch(train) [100][130/327] lr: 5.000000e-04 eta: 3:31:19 time: 0.342417 data_time: 0.031801 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.840805 2023/08/09 23:22:35 - mmengine - INFO - Epoch(train) [100][140/327] lr: 5.000000e-04 eta: 3:31:16 time: 0.342453 data_time: 0.032072 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.838121 2023/08/09 23:22:39 - mmengine - INFO - Epoch(train) [100][150/327] lr: 5.000000e-04 eta: 3:31:12 time: 0.344480 data_time: 0.032171 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.872972 2023/08/09 23:22:43 - mmengine - INFO - Epoch(train) [100][160/327] lr: 5.000000e-04 eta: 3:31:09 time: 0.352053 data_time: 0.032418 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.884562 2023/08/09 23:22:46 - mmengine - INFO - Epoch(train) [100][170/327] lr: 5.000000e-04 eta: 3:31:06 time: 0.357554 data_time: 0.031958 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.934512 2023/08/09 23:22:50 - mmengine - INFO - Epoch(train) [100][180/327] lr: 5.000000e-04 eta: 3:31:02 time: 0.357545 data_time: 0.031322 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.873563 2023/08/09 23:22:53 - mmengine - INFO - Epoch(train) [100][190/327] lr: 5.000000e-04 eta: 3:30:59 time: 0.357804 data_time: 0.030847 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.924425 2023/08/09 23:22:57 - mmengine - INFO - Epoch(train) [100][200/327] lr: 5.000000e-04 eta: 3:30:55 time: 0.360192 data_time: 0.030608 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.902259 2023/08/09 23:23:00 - mmengine - INFO - Epoch(train) [100][210/327] lr: 5.000000e-04 eta: 3:30:52 time: 0.355224 data_time: 0.030668 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.953125 2023/08/09 23:23:04 - mmengine - INFO - Epoch(train) [100][220/327] lr: 5.000000e-04 eta: 3:30:48 time: 0.351237 data_time: 0.031026 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.812347 2023/08/09 23:23:07 - mmengine - INFO - Epoch(train) [100][230/327] lr: 5.000000e-04 eta: 3:30:45 time: 0.352051 data_time: 0.031281 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.945784 2023/08/09 23:23:11 - mmengine - INFO - Epoch(train) [100][240/327] lr: 5.000000e-04 eta: 3:30:41 time: 0.350190 data_time: 0.031311 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.868981 2023/08/09 23:23:14 - mmengine - INFO - Epoch(train) [100][250/327] lr: 5.000000e-04 eta: 3:30:37 time: 0.346149 data_time: 0.031608 memory: 4563 loss: 0.000686 loss_kpt: 0.000686 acc_pose: 0.854833 2023/08/09 23:23:17 - mmengine - INFO - Epoch(train) [100][260/327] lr: 5.000000e-04 eta: 3:30:34 time: 0.343849 data_time: 0.031298 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.855106 2023/08/09 23:23:21 - mmengine - INFO - Epoch(train) [100][270/327] lr: 5.000000e-04 eta: 3:30:30 time: 0.343200 data_time: 0.031097 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.903333 2023/08/09 23:23:25 - mmengine - INFO - Epoch(train) [100][280/327] lr: 5.000000e-04 eta: 3:30:27 time: 0.346824 data_time: 0.031054 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.923143 2023/08/09 23:23:28 - mmengine - INFO - Epoch(train) [100][290/327] lr: 5.000000e-04 eta: 3:30:24 time: 0.351666 data_time: 0.031895 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.955973 2023/08/09 23:23:32 - mmengine - INFO - Epoch(train) [100][300/327] lr: 5.000000e-04 eta: 3:30:20 time: 0.354990 data_time: 0.032384 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.868876 2023/08/09 23:23:35 - mmengine - INFO - Epoch(train) [100][310/327] lr: 5.000000e-04 eta: 3:30:17 time: 0.355097 data_time: 0.032892 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.912310 2023/08/09 23:23:39 - mmengine - INFO - Epoch(train) [100][320/327] lr: 5.000000e-04 eta: 3:30:13 time: 0.356490 data_time: 0.033438 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.867542 2023/08/09 23:23:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:23:41 - mmengine - INFO - Saving checkpoint at 100 epochs 2023/08/09 23:23:47 - mmengine - INFO - Epoch(val) [100][10/79] eta: 0:00:14 time: 0.195941 data_time: 0.013222 memory: 4563 2023/08/09 23:23:49 - mmengine - INFO - Epoch(val) [100][20/79] eta: 0:00:11 time: 0.196125 data_time: 0.013320 memory: 1634 2023/08/09 23:23:51 - mmengine - INFO - Epoch(val) [100][30/79] eta: 0:00:09 time: 0.196141 data_time: 0.013083 memory: 1634 2023/08/09 23:23:53 - mmengine - INFO - Epoch(val) [100][40/79] eta: 0:00:07 time: 0.196342 data_time: 0.013231 memory: 1634 2023/08/09 23:23:54 - mmengine - INFO - Epoch(val) [100][50/79] eta: 0:00:05 time: 0.198265 data_time: 0.013407 memory: 1634 2023/08/09 23:23:56 - mmengine - INFO - Epoch(val) [100][60/79] eta: 0:00:03 time: 0.196448 data_time: 0.011813 memory: 1634 2023/08/09 23:23:58 - mmengine - INFO - Epoch(val) [100][70/79] eta: 0:00:01 time: 0.196311 data_time: 0.011677 memory: 1634 2023/08/09 23:24:00 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 23:24:00 - mmengine - INFO - Evaluating AUC... 2023/08/09 23:24:00 - mmengine - INFO - Evaluating EPE... 2023/08/09 23:24:00 - mmengine - INFO - Epoch(val) [100][79/79] PCK: 0.975207 AUC: 0.753756 EPE: 9.120788 data_time: 0.012517 time: 0.194839 2023/08/09 23:24:04 - mmengine - INFO - Epoch(train) [101][ 10/327] lr: 5.000000e-04 eta: 3:30:07 time: 0.351373 data_time: 0.037294 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.910736 2023/08/09 23:24:08 - mmengine - INFO - Epoch(train) [101][ 20/327] lr: 5.000000e-04 eta: 3:30:04 time: 0.348189 data_time: 0.036598 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.904762 2023/08/09 23:24:11 - mmengine - INFO - Epoch(train) [101][ 30/327] lr: 5.000000e-04 eta: 3:30:00 time: 0.348476 data_time: 0.036552 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.895294 2023/08/09 23:24:15 - mmengine - INFO - Epoch(train) [101][ 40/327] lr: 5.000000e-04 eta: 3:29:57 time: 0.350360 data_time: 0.036034 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.889113 2023/08/09 23:24:18 - mmengine - INFO - Epoch(train) [101][ 50/327] lr: 5.000000e-04 eta: 3:29:53 time: 0.353624 data_time: 0.038386 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.873352 2023/08/09 23:24:22 - mmengine - INFO - Epoch(train) [101][ 60/327] lr: 5.000000e-04 eta: 3:29:50 time: 0.350370 data_time: 0.034420 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.903245 2023/08/09 23:24:25 - mmengine - INFO - Epoch(train) [101][ 70/327] lr: 5.000000e-04 eta: 3:29:46 time: 0.350498 data_time: 0.034714 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.892514 2023/08/09 23:24:29 - mmengine - INFO - Epoch(train) [101][ 80/327] lr: 5.000000e-04 eta: 3:29:42 time: 0.351338 data_time: 0.034368 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.897108 2023/08/09 23:24:32 - mmengine - INFO - Epoch(train) [101][ 90/327] lr: 5.000000e-04 eta: 3:29:39 time: 0.349034 data_time: 0.034056 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.904453 2023/08/09 23:24:36 - mmengine - INFO - Epoch(train) [101][100/327] lr: 5.000000e-04 eta: 3:29:35 time: 0.346979 data_time: 0.030797 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.948787 2023/08/09 23:24:39 - mmengine - INFO - Epoch(train) [101][110/327] lr: 5.000000e-04 eta: 3:29:32 time: 0.350451 data_time: 0.030669 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.929198 2023/08/09 23:24:43 - mmengine - INFO - Epoch(train) [101][120/327] lr: 5.000000e-04 eta: 3:29:29 time: 0.353398 data_time: 0.030535 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.862778 2023/08/09 23:24:46 - mmengine - INFO - Epoch(train) [101][130/327] lr: 5.000000e-04 eta: 3:29:25 time: 0.355962 data_time: 0.030803 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.900647 2023/08/09 23:24:50 - mmengine - INFO - Epoch(train) [101][140/327] lr: 5.000000e-04 eta: 3:29:22 time: 0.357371 data_time: 0.031199 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.888793 2023/08/09 23:24:53 - mmengine - INFO - Epoch(train) [101][150/327] lr: 5.000000e-04 eta: 3:29:18 time: 0.358477 data_time: 0.031120 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.880080 2023/08/09 23:24:57 - mmengine - INFO - Epoch(train) [101][160/327] lr: 5.000000e-04 eta: 3:29:15 time: 0.354842 data_time: 0.031323 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.802419 2023/08/09 23:25:00 - mmengine - INFO - Epoch(train) [101][170/327] lr: 5.000000e-04 eta: 3:29:11 time: 0.354544 data_time: 0.031373 memory: 4563 loss: 0.000676 loss_kpt: 0.000676 acc_pose: 0.748440 2023/08/09 23:25:04 - mmengine - INFO - Epoch(train) [101][180/327] lr: 5.000000e-04 eta: 3:29:08 time: 0.353708 data_time: 0.031011 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.860646 2023/08/09 23:25:08 - mmengine - INFO - Epoch(train) [101][190/327] lr: 5.000000e-04 eta: 3:29:04 time: 0.352760 data_time: 0.030817 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.913756 2023/08/09 23:25:11 - mmengine - INFO - Epoch(train) [101][200/327] lr: 5.000000e-04 eta: 3:29:01 time: 0.350865 data_time: 0.031315 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.896838 2023/08/09 23:25:14 - mmengine - INFO - Epoch(train) [101][210/327] lr: 5.000000e-04 eta: 3:28:57 time: 0.349719 data_time: 0.030954 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.841690 2023/08/09 23:25:18 - mmengine - INFO - Epoch(train) [101][220/327] lr: 5.000000e-04 eta: 3:28:54 time: 0.347439 data_time: 0.030730 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.937859 2023/08/09 23:25:21 - mmengine - INFO - Epoch(train) [101][230/327] lr: 5.000000e-04 eta: 3:28:50 time: 0.343796 data_time: 0.030513 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.927369 2023/08/09 23:25:25 - mmengine - INFO - Epoch(train) [101][240/327] lr: 5.000000e-04 eta: 3:28:46 time: 0.342696 data_time: 0.030782 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.844086 2023/08/09 23:25:28 - mmengine - INFO - Epoch(train) [101][250/327] lr: 5.000000e-04 eta: 3:28:43 time: 0.346185 data_time: 0.030789 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.909630 2023/08/09 23:25:32 - mmengine - INFO - Epoch(train) [101][260/327] lr: 5.000000e-04 eta: 3:28:40 time: 0.347656 data_time: 0.031343 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.933565 2023/08/09 23:25:35 - mmengine - INFO - Epoch(train) [101][270/327] lr: 5.000000e-04 eta: 3:28:36 time: 0.351280 data_time: 0.034454 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.934838 2023/08/09 23:25:39 - mmengine - INFO - Epoch(train) [101][280/327] lr: 5.000000e-04 eta: 3:28:33 time: 0.351538 data_time: 0.034720 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.882184 2023/08/09 23:25:42 - mmengine - INFO - Epoch(train) [101][290/327] lr: 5.000000e-04 eta: 3:28:29 time: 0.353007 data_time: 0.034489 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.948111 2023/08/09 23:25:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:25:46 - mmengine - INFO - Epoch(train) [101][300/327] lr: 5.000000e-04 eta: 3:28:25 time: 0.347992 data_time: 0.033948 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.859891 2023/08/09 23:25:49 - mmengine - INFO - Epoch(train) [101][310/327] lr: 5.000000e-04 eta: 3:28:22 time: 0.346635 data_time: 0.033524 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.905378 2023/08/09 23:25:53 - mmengine - INFO - Epoch(train) [101][320/327] lr: 5.000000e-04 eta: 3:28:19 time: 0.349325 data_time: 0.030926 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.884807 2023/08/09 23:25:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:25:59 - mmengine - INFO - Epoch(train) [102][ 10/327] lr: 5.000000e-04 eta: 3:28:13 time: 0.355143 data_time: 0.034227 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.903584 2023/08/09 23:26:03 - mmengine - INFO - Epoch(train) [102][ 20/327] lr: 5.000000e-04 eta: 3:28:09 time: 0.355007 data_time: 0.034559 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.913732 2023/08/09 23:26:06 - mmengine - INFO - Epoch(train) [102][ 30/327] lr: 5.000000e-04 eta: 3:28:06 time: 0.355162 data_time: 0.034606 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.868011 2023/08/09 23:26:09 - mmengine - INFO - Epoch(train) [102][ 40/327] lr: 5.000000e-04 eta: 3:28:02 time: 0.351950 data_time: 0.034304 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.974117 2023/08/09 23:26:13 - mmengine - INFO - Epoch(train) [102][ 50/327] lr: 5.000000e-04 eta: 3:27:58 time: 0.346979 data_time: 0.034303 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.916324 2023/08/09 23:26:16 - mmengine - INFO - Epoch(train) [102][ 60/327] lr: 5.000000e-04 eta: 3:27:55 time: 0.343130 data_time: 0.030569 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.886018 2023/08/09 23:26:20 - mmengine - INFO - Epoch(train) [102][ 70/327] lr: 5.000000e-04 eta: 3:27:51 time: 0.343797 data_time: 0.030469 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.897093 2023/08/09 23:26:23 - mmengine - INFO - Epoch(train) [102][ 80/327] lr: 5.000000e-04 eta: 3:27:48 time: 0.344419 data_time: 0.030672 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.924881 2023/08/09 23:26:27 - mmengine - INFO - Epoch(train) [102][ 90/327] lr: 5.000000e-04 eta: 3:27:44 time: 0.344491 data_time: 0.031024 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.928834 2023/08/09 23:26:30 - mmengine - INFO - Epoch(train) [102][100/327] lr: 5.000000e-04 eta: 3:27:41 time: 0.346196 data_time: 0.031362 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.934907 2023/08/09 23:26:34 - mmengine - INFO - Epoch(train) [102][110/327] lr: 5.000000e-04 eta: 3:27:37 time: 0.350949 data_time: 0.031446 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.896839 2023/08/09 23:26:37 - mmengine - INFO - Epoch(train) [102][120/327] lr: 5.000000e-04 eta: 3:27:34 time: 0.348498 data_time: 0.031273 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.932147 2023/08/09 23:26:41 - mmengine - INFO - Epoch(train) [102][130/327] lr: 5.000000e-04 eta: 3:27:30 time: 0.350684 data_time: 0.033908 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.914304 2023/08/09 23:26:44 - mmengine - INFO - Epoch(train) [102][140/327] lr: 5.000000e-04 eta: 3:27:27 time: 0.351289 data_time: 0.034245 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.771935 2023/08/09 23:26:48 - mmengine - INFO - Epoch(train) [102][150/327] lr: 5.000000e-04 eta: 3:27:23 time: 0.351050 data_time: 0.034170 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.874944 2023/08/09 23:26:51 - mmengine - INFO - Epoch(train) [102][160/327] lr: 5.000000e-04 eta: 3:27:20 time: 0.347529 data_time: 0.034571 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.855398 2023/08/09 23:26:55 - mmengine - INFO - Epoch(train) [102][170/327] lr: 5.000000e-04 eta: 3:27:16 time: 0.349271 data_time: 0.035254 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.913505 2023/08/09 23:26:58 - mmengine - INFO - Epoch(train) [102][180/327] lr: 5.000000e-04 eta: 3:27:12 time: 0.347159 data_time: 0.032496 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.937050 2023/08/09 23:27:01 - mmengine - INFO - Epoch(train) [102][190/327] lr: 5.000000e-04 eta: 3:27:09 time: 0.344862 data_time: 0.031930 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.939513 2023/08/09 23:27:05 - mmengine - INFO - Epoch(train) [102][200/327] lr: 5.000000e-04 eta: 3:27:05 time: 0.343181 data_time: 0.031784 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.873943 2023/08/09 23:27:08 - mmengine - INFO - Epoch(train) [102][210/327] lr: 5.000000e-04 eta: 3:27:02 time: 0.342863 data_time: 0.031395 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.960433 2023/08/09 23:27:12 - mmengine - INFO - Epoch(train) [102][220/327] lr: 5.000000e-04 eta: 3:26:58 time: 0.343442 data_time: 0.031393 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.848338 2023/08/09 23:27:15 - mmengine - INFO - Epoch(train) [102][230/327] lr: 5.000000e-04 eta: 3:26:55 time: 0.345475 data_time: 0.031633 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.893530 2023/08/09 23:27:19 - mmengine - INFO - Epoch(train) [102][240/327] lr: 5.000000e-04 eta: 3:26:51 time: 0.347366 data_time: 0.032364 memory: 4563 loss: 0.000688 loss_kpt: 0.000688 acc_pose: 0.895567 2023/08/09 23:27:22 - mmengine - INFO - Epoch(train) [102][250/327] lr: 5.000000e-04 eta: 3:26:47 time: 0.347270 data_time: 0.032975 memory: 4563 loss: 0.000683 loss_kpt: 0.000683 acc_pose: 0.931667 2023/08/09 23:27:26 - mmengine - INFO - Epoch(train) [102][260/327] lr: 5.000000e-04 eta: 3:26:44 time: 0.350772 data_time: 0.033462 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.937169 2023/08/09 23:27:29 - mmengine - INFO - Epoch(train) [102][270/327] lr: 5.000000e-04 eta: 3:26:41 time: 0.349826 data_time: 0.033138 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.913298 2023/08/09 23:27:33 - mmengine - INFO - Epoch(train) [102][280/327] lr: 5.000000e-04 eta: 3:26:37 time: 0.347461 data_time: 0.032924 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.909409 2023/08/09 23:27:36 - mmengine - INFO - Epoch(train) [102][290/327] lr: 5.000000e-04 eta: 3:26:33 time: 0.347154 data_time: 0.032467 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.910622 2023/08/09 23:27:40 - mmengine - INFO - Epoch(train) [102][300/327] lr: 5.000000e-04 eta: 3:26:30 time: 0.348026 data_time: 0.031604 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.940209 2023/08/09 23:27:43 - mmengine - INFO - Epoch(train) [102][310/327] lr: 5.000000e-04 eta: 3:26:27 time: 0.348926 data_time: 0.031283 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.941441 2023/08/09 23:27:47 - mmengine - INFO - Epoch(train) [102][320/327] lr: 5.000000e-04 eta: 3:26:23 time: 0.347681 data_time: 0.030891 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.912454 2023/08/09 23:27:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:27:53 - mmengine - INFO - Epoch(train) [103][ 10/327] lr: 5.000000e-04 eta: 3:26:17 time: 0.349274 data_time: 0.034105 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.890230 2023/08/09 23:27:56 - mmengine - INFO - Epoch(train) [103][ 20/327] lr: 5.000000e-04 eta: 3:26:13 time: 0.351530 data_time: 0.034572 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.924082 2023/08/09 23:28:00 - mmengine - INFO - Epoch(train) [103][ 30/327] lr: 5.000000e-04 eta: 3:26:10 time: 0.346074 data_time: 0.034240 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.899616 2023/08/09 23:28:03 - mmengine - INFO - Epoch(train) [103][ 40/327] lr: 5.000000e-04 eta: 3:26:06 time: 0.350316 data_time: 0.034546 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.951613 2023/08/09 23:28:07 - mmengine - INFO - Epoch(train) [103][ 50/327] lr: 5.000000e-04 eta: 3:26:03 time: 0.353170 data_time: 0.035594 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.888030 2023/08/09 23:28:10 - mmengine - INFO - Epoch(train) [103][ 60/327] lr: 5.000000e-04 eta: 3:25:59 time: 0.348621 data_time: 0.031824 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.906990 2023/08/09 23:28:13 - mmengine - INFO - Epoch(train) [103][ 70/327] lr: 5.000000e-04 eta: 3:25:56 time: 0.345325 data_time: 0.031255 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.956589 2023/08/09 23:28:17 - mmengine - INFO - Epoch(train) [103][ 80/327] lr: 5.000000e-04 eta: 3:25:52 time: 0.345193 data_time: 0.031531 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.930419 2023/08/09 23:28:20 - mmengine - INFO - Epoch(train) [103][ 90/327] lr: 5.000000e-04 eta: 3:25:48 time: 0.341665 data_time: 0.031203 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.899138 2023/08/09 23:28:24 - mmengine - INFO - Epoch(train) [103][100/327] lr: 5.000000e-04 eta: 3:25:45 time: 0.343325 data_time: 0.032033 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.867623 2023/08/09 23:28:27 - mmengine - INFO - Epoch(train) [103][110/327] lr: 5.000000e-04 eta: 3:25:41 time: 0.345274 data_time: 0.032376 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.910650 2023/08/09 23:28:31 - mmengine - INFO - Epoch(train) [103][120/327] lr: 5.000000e-04 eta: 3:25:38 time: 0.348864 data_time: 0.033209 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.941551 2023/08/09 23:28:35 - mmengine - INFO - Epoch(train) [103][130/327] lr: 5.000000e-04 eta: 3:25:35 time: 0.354608 data_time: 0.033481 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.957471 2023/08/09 23:28:38 - mmengine - INFO - Epoch(train) [103][140/327] lr: 5.000000e-04 eta: 3:25:32 time: 0.361718 data_time: 0.036838 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.966092 2023/08/09 23:28:42 - mmengine - INFO - Epoch(train) [103][150/327] lr: 5.000000e-04 eta: 3:25:28 time: 0.362235 data_time: 0.038478 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.876265 2023/08/09 23:28:45 - mmengine - INFO - Epoch(train) [103][160/327] lr: 5.000000e-04 eta: 3:25:25 time: 0.362757 data_time: 0.037781 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.901505 2023/08/09 23:28:49 - mmengine - INFO - Epoch(train) [103][170/327] lr: 5.000000e-04 eta: 3:25:22 time: 0.371031 data_time: 0.037020 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.872775 2023/08/09 23:28:53 - mmengine - INFO - Epoch(train) [103][180/327] lr: 5.000000e-04 eta: 3:25:18 time: 0.368567 data_time: 0.036808 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.910214 2023/08/09 23:28:57 - mmengine - INFO - Epoch(train) [103][190/327] lr: 5.000000e-04 eta: 3:25:15 time: 0.364090 data_time: 0.033718 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.847834 2023/08/09 23:29:00 - mmengine - INFO - Epoch(train) [103][200/327] lr: 5.000000e-04 eta: 3:25:12 time: 0.369514 data_time: 0.030814 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.939347 2023/08/09 23:29:04 - mmengine - INFO - Epoch(train) [103][210/327] lr: 5.000000e-04 eta: 3:25:08 time: 0.374914 data_time: 0.031055 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.947044 2023/08/09 23:29:08 - mmengine - INFO - Epoch(train) [103][220/327] lr: 5.000000e-04 eta: 3:25:05 time: 0.371454 data_time: 0.030925 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.855004 2023/08/09 23:29:12 - mmengine - INFO - Epoch(train) [103][230/327] lr: 5.000000e-04 eta: 3:25:02 time: 0.376207 data_time: 0.030474 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.852730 2023/08/09 23:29:16 - mmengine - INFO - Epoch(train) [103][240/327] lr: 5.000000e-04 eta: 3:24:59 time: 0.380803 data_time: 0.030708 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.903549 2023/08/09 23:29:19 - mmengine - INFO - Epoch(train) [103][250/327] lr: 5.000000e-04 eta: 3:24:55 time: 0.373275 data_time: 0.030700 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.920251 2023/08/09 23:29:23 - mmengine - INFO - Epoch(train) [103][260/327] lr: 5.000000e-04 eta: 3:24:52 time: 0.366206 data_time: 0.030665 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.908161 2023/08/09 23:29:26 - mmengine - INFO - Epoch(train) [103][270/327] lr: 5.000000e-04 eta: 3:24:48 time: 0.358123 data_time: 0.030518 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.910917 2023/08/09 23:29:29 - mmengine - INFO - Epoch(train) [103][280/327] lr: 5.000000e-04 eta: 3:24:44 time: 0.349250 data_time: 0.030639 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.864316 2023/08/09 23:29:33 - mmengine - INFO - Epoch(train) [103][290/327] lr: 5.000000e-04 eta: 3:24:41 time: 0.342210 data_time: 0.030141 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.882501 2023/08/09 23:29:36 - mmengine - INFO - Epoch(train) [103][300/327] lr: 5.000000e-04 eta: 3:24:37 time: 0.344317 data_time: 0.030138 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.932471 2023/08/09 23:29:40 - mmengine - INFO - Epoch(train) [103][310/327] lr: 5.000000e-04 eta: 3:24:34 time: 0.344858 data_time: 0.030071 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.876117 2023/08/09 23:29:43 - mmengine - INFO - Epoch(train) [103][320/327] lr: 5.000000e-04 eta: 3:24:30 time: 0.346324 data_time: 0.030601 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.920311 2023/08/09 23:29:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:29:49 - mmengine - INFO - Epoch(train) [104][ 10/327] lr: 5.000000e-04 eta: 3:24:24 time: 0.349715 data_time: 0.033592 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.907763 2023/08/09 23:29:53 - mmengine - INFO - Epoch(train) [104][ 20/327] lr: 5.000000e-04 eta: 3:24:21 time: 0.349779 data_time: 0.033590 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.943498 2023/08/09 23:29:56 - mmengine - INFO - Epoch(train) [104][ 30/327] lr: 5.000000e-04 eta: 3:24:17 time: 0.350532 data_time: 0.033626 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.880387 2023/08/09 23:30:00 - mmengine - INFO - Epoch(train) [104][ 40/327] lr: 5.000000e-04 eta: 3:24:14 time: 0.349819 data_time: 0.033688 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.872993 2023/08/09 23:30:03 - mmengine - INFO - Epoch(train) [104][ 50/327] lr: 5.000000e-04 eta: 3:24:10 time: 0.351399 data_time: 0.034533 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.881545 2023/08/09 23:30:07 - mmengine - INFO - Epoch(train) [104][ 60/327] lr: 5.000000e-04 eta: 3:24:07 time: 0.347892 data_time: 0.031604 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.814634 2023/08/09 23:30:10 - mmengine - INFO - Epoch(train) [104][ 70/327] lr: 5.000000e-04 eta: 3:24:03 time: 0.346590 data_time: 0.032057 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.819458 2023/08/09 23:30:13 - mmengine - INFO - Epoch(train) [104][ 80/327] lr: 5.000000e-04 eta: 3:23:59 time: 0.344065 data_time: 0.031731 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.856317 2023/08/09 23:30:17 - mmengine - INFO - Epoch(train) [104][ 90/327] lr: 5.000000e-04 eta: 3:23:56 time: 0.343461 data_time: 0.031480 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.948276 2023/08/09 23:30:20 - mmengine - INFO - Epoch(train) [104][100/327] lr: 5.000000e-04 eta: 3:23:52 time: 0.341405 data_time: 0.031160 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.933305 2023/08/09 23:30:24 - mmengine - INFO - Epoch(train) [104][110/327] lr: 5.000000e-04 eta: 3:23:49 time: 0.340657 data_time: 0.030637 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.872284 2023/08/09 23:30:27 - mmengine - INFO - Epoch(train) [104][120/327] lr: 5.000000e-04 eta: 3:23:45 time: 0.343092 data_time: 0.033483 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.859085 2023/08/09 23:30:31 - mmengine - INFO - Epoch(train) [104][130/327] lr: 5.000000e-04 eta: 3:23:42 time: 0.344589 data_time: 0.034308 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.877730 2023/08/09 23:30:34 - mmengine - INFO - Epoch(train) [104][140/327] lr: 5.000000e-04 eta: 3:23:38 time: 0.347075 data_time: 0.034840 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.881928 2023/08/09 23:30:38 - mmengine - INFO - Epoch(train) [104][150/327] lr: 5.000000e-04 eta: 3:23:35 time: 0.348828 data_time: 0.035168 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.889080 2023/08/09 23:30:41 - mmengine - INFO - Epoch(train) [104][160/327] lr: 5.000000e-04 eta: 3:23:31 time: 0.350675 data_time: 0.035033 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.885178 2023/08/09 23:30:45 - mmengine - INFO - Epoch(train) [104][170/327] lr: 5.000000e-04 eta: 3:23:27 time: 0.346774 data_time: 0.031771 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.903895 2023/08/09 23:30:48 - mmengine - INFO - Epoch(train) [104][180/327] lr: 5.000000e-04 eta: 3:23:24 time: 0.346928 data_time: 0.030976 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.956258 2023/08/09 23:30:52 - mmengine - INFO - Epoch(train) [104][190/327] lr: 5.000000e-04 eta: 3:23:21 time: 0.354214 data_time: 0.031250 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.900318 2023/08/09 23:30:55 - mmengine - INFO - Epoch(train) [104][200/327] lr: 5.000000e-04 eta: 3:23:17 time: 0.355531 data_time: 0.031857 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.878325 2023/08/09 23:30:59 - mmengine - INFO - Epoch(train) [104][210/327] lr: 5.000000e-04 eta: 3:23:14 time: 0.355401 data_time: 0.032556 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.915092 2023/08/09 23:31:02 - mmengine - INFO - Epoch(train) [104][220/327] lr: 5.000000e-04 eta: 3:23:10 time: 0.356367 data_time: 0.032626 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.934516 2023/08/09 23:31:06 - mmengine - INFO - Epoch(train) [104][230/327] lr: 5.000000e-04 eta: 3:23:07 time: 0.358297 data_time: 0.032598 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.955973 2023/08/09 23:31:09 - mmengine - INFO - Epoch(train) [104][240/327] lr: 5.000000e-04 eta: 3:23:03 time: 0.349278 data_time: 0.031762 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.911551 2023/08/09 23:31:13 - mmengine - INFO - Epoch(train) [104][250/327] lr: 5.000000e-04 eta: 3:23:00 time: 0.347900 data_time: 0.031062 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.868224 2023/08/09 23:31:16 - mmengine - INFO - Epoch(train) [104][260/327] lr: 5.000000e-04 eta: 3:22:56 time: 0.348021 data_time: 0.030510 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.889789 2023/08/09 23:31:20 - mmengine - INFO - Epoch(train) [104][270/327] lr: 5.000000e-04 eta: 3:22:53 time: 0.348705 data_time: 0.030951 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.939371 2023/08/09 23:31:23 - mmengine - INFO - Epoch(train) [104][280/327] lr: 5.000000e-04 eta: 3:22:49 time: 0.347488 data_time: 0.031057 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.857928 2023/08/09 23:31:27 - mmengine - INFO - Epoch(train) [104][290/327] lr: 5.000000e-04 eta: 3:22:45 time: 0.347227 data_time: 0.031139 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.859252 2023/08/09 23:31:30 - mmengine - INFO - Epoch(train) [104][300/327] lr: 5.000000e-04 eta: 3:22:42 time: 0.347960 data_time: 0.031166 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.908116 2023/08/09 23:31:34 - mmengine - INFO - Epoch(train) [104][310/327] lr: 5.000000e-04 eta: 3:22:38 time: 0.346859 data_time: 0.030942 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.925501 2023/08/09 23:31:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:31:37 - mmengine - INFO - Epoch(train) [104][320/327] lr: 5.000000e-04 eta: 3:22:35 time: 0.345991 data_time: 0.030708 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.958333 2023/08/09 23:31:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:31:43 - mmengine - INFO - Epoch(train) [105][ 10/327] lr: 5.000000e-04 eta: 3:22:29 time: 0.349866 data_time: 0.034005 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.887681 2023/08/09 23:31:47 - mmengine - INFO - Epoch(train) [105][ 20/327] lr: 5.000000e-04 eta: 3:22:25 time: 0.351113 data_time: 0.034188 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.895936 2023/08/09 23:31:50 - mmengine - INFO - Epoch(train) [105][ 30/327] lr: 5.000000e-04 eta: 3:22:22 time: 0.348693 data_time: 0.034343 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.965269 2023/08/09 23:31:54 - mmengine - INFO - Epoch(train) [105][ 40/327] lr: 5.000000e-04 eta: 3:22:18 time: 0.348140 data_time: 0.034467 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.928834 2023/08/09 23:31:57 - mmengine - INFO - Epoch(train) [105][ 50/327] lr: 5.000000e-04 eta: 3:22:15 time: 0.347406 data_time: 0.035366 memory: 4563 loss: 0.000647 loss_kpt: 0.000647 acc_pose: 0.946627 2023/08/09 23:32:00 - mmengine - INFO - Epoch(train) [105][ 60/327] lr: 5.000000e-04 eta: 3:22:11 time: 0.342652 data_time: 0.031464 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.884458 2023/08/09 23:32:04 - mmengine - INFO - Epoch(train) [105][ 70/327] lr: 5.000000e-04 eta: 3:22:08 time: 0.346291 data_time: 0.035219 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.934012 2023/08/09 23:32:08 - mmengine - INFO - Epoch(train) [105][ 80/327] lr: 5.000000e-04 eta: 3:22:04 time: 0.346973 data_time: 0.035105 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.982451 2023/08/09 23:32:11 - mmengine - INFO - Epoch(train) [105][ 90/327] lr: 5.000000e-04 eta: 3:22:01 time: 0.348018 data_time: 0.035077 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.923851 2023/08/09 23:32:15 - mmengine - INFO - Epoch(train) [105][100/327] lr: 5.000000e-04 eta: 3:21:57 time: 0.357548 data_time: 0.035509 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.822615 2023/08/09 23:32:19 - mmengine - INFO - Epoch(train) [105][110/327] lr: 5.000000e-04 eta: 3:21:54 time: 0.365528 data_time: 0.036391 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.957759 2023/08/09 23:32:22 - mmengine - INFO - Epoch(train) [105][120/327] lr: 5.000000e-04 eta: 3:21:51 time: 0.364870 data_time: 0.032819 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.956376 2023/08/09 23:32:26 - mmengine - INFO - Epoch(train) [105][130/327] lr: 5.000000e-04 eta: 3:21:48 time: 0.370683 data_time: 0.033398 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.930398 2023/08/09 23:32:30 - mmengine - INFO - Epoch(train) [105][140/327] lr: 5.000000e-04 eta: 3:21:44 time: 0.371656 data_time: 0.033746 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.825728 2023/08/09 23:32:33 - mmengine - INFO - Epoch(train) [105][150/327] lr: 5.000000e-04 eta: 3:21:41 time: 0.364078 data_time: 0.033783 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.857540 2023/08/09 23:32:37 - mmengine - INFO - Epoch(train) [105][160/327] lr: 5.000000e-04 eta: 3:21:37 time: 0.359439 data_time: 0.032724 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.889043 2023/08/09 23:32:40 - mmengine - INFO - Epoch(train) [105][170/327] lr: 5.000000e-04 eta: 3:21:34 time: 0.362977 data_time: 0.032425 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.865517 2023/08/09 23:32:44 - mmengine - INFO - Epoch(train) [105][180/327] lr: 5.000000e-04 eta: 3:21:31 time: 0.364719 data_time: 0.031611 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.898544 2023/08/09 23:32:48 - mmengine - INFO - Epoch(train) [105][190/327] lr: 5.000000e-04 eta: 3:21:27 time: 0.367820 data_time: 0.031203 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.875424 2023/08/09 23:32:52 - mmengine - INFO - Epoch(train) [105][200/327] lr: 5.000000e-04 eta: 3:21:24 time: 0.370838 data_time: 0.031166 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.946574 2023/08/09 23:32:55 - mmengine - INFO - Epoch(train) [105][210/327] lr: 5.000000e-04 eta: 3:21:20 time: 0.367102 data_time: 0.031203 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.841111 2023/08/09 23:32:59 - mmengine - INFO - Epoch(train) [105][220/327] lr: 5.000000e-04 eta: 3:21:17 time: 0.366602 data_time: 0.031432 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.847200 2023/08/09 23:33:03 - mmengine - INFO - Epoch(train) [105][230/327] lr: 5.000000e-04 eta: 3:21:14 time: 0.366157 data_time: 0.031567 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.911836 2023/08/09 23:33:06 - mmengine - INFO - Epoch(train) [105][240/327] lr: 5.000000e-04 eta: 3:21:11 time: 0.368211 data_time: 0.031189 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.913360 2023/08/09 23:33:10 - mmengine - INFO - Epoch(train) [105][250/327] lr: 5.000000e-04 eta: 3:21:08 time: 0.370763 data_time: 0.030535 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.846123 2023/08/09 23:33:14 - mmengine - INFO - Epoch(train) [105][260/327] lr: 5.000000e-04 eta: 3:21:04 time: 0.371020 data_time: 0.030908 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.864943 2023/08/09 23:33:17 - mmengine - INFO - Epoch(train) [105][270/327] lr: 5.000000e-04 eta: 3:21:01 time: 0.368849 data_time: 0.030751 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.824337 2023/08/09 23:33:21 - mmengine - INFO - Epoch(train) [105][280/327] lr: 5.000000e-04 eta: 3:20:57 time: 0.366423 data_time: 0.031069 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.895073 2023/08/09 23:33:24 - mmengine - INFO - Epoch(train) [105][290/327] lr: 5.000000e-04 eta: 3:20:54 time: 0.359192 data_time: 0.031323 memory: 4563 loss: 0.000672 loss_kpt: 0.000672 acc_pose: 0.926867 2023/08/09 23:33:28 - mmengine - INFO - Epoch(train) [105][300/327] lr: 5.000000e-04 eta: 3:20:50 time: 0.350738 data_time: 0.031095 memory: 4563 loss: 0.000684 loss_kpt: 0.000684 acc_pose: 0.903017 2023/08/09 23:33:31 - mmengine - INFO - Epoch(train) [105][310/327] lr: 5.000000e-04 eta: 3:20:46 time: 0.351905 data_time: 0.030688 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.917968 2023/08/09 23:33:35 - mmengine - INFO - Epoch(train) [105][320/327] lr: 5.000000e-04 eta: 3:20:43 time: 0.347260 data_time: 0.030449 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.900038 2023/08/09 23:33:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:33:41 - mmengine - INFO - Epoch(train) [106][ 10/327] lr: 5.000000e-04 eta: 3:20:37 time: 0.346347 data_time: 0.033605 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.886310 2023/08/09 23:33:44 - mmengine - INFO - Epoch(train) [106][ 20/327] lr: 5.000000e-04 eta: 3:20:33 time: 0.348124 data_time: 0.033687 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.856168 2023/08/09 23:33:48 - mmengine - INFO - Epoch(train) [106][ 30/327] lr: 5.000000e-04 eta: 3:20:30 time: 0.347333 data_time: 0.034238 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.892387 2023/08/09 23:33:51 - mmengine - INFO - Epoch(train) [106][ 40/327] lr: 5.000000e-04 eta: 3:20:26 time: 0.347565 data_time: 0.034267 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.873490 2023/08/09 23:33:54 - mmengine - INFO - Epoch(train) [106][ 50/327] lr: 5.000000e-04 eta: 3:20:23 time: 0.347773 data_time: 0.034866 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.919244 2023/08/09 23:33:58 - mmengine - INFO - Epoch(train) [106][ 60/327] lr: 5.000000e-04 eta: 3:20:19 time: 0.344000 data_time: 0.033620 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.888590 2023/08/09 23:34:01 - mmengine - INFO - Epoch(train) [106][ 70/327] lr: 5.000000e-04 eta: 3:20:16 time: 0.346871 data_time: 0.033672 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.913136 2023/08/09 23:34:05 - mmengine - INFO - Epoch(train) [106][ 80/327] lr: 5.000000e-04 eta: 3:20:12 time: 0.349485 data_time: 0.033814 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.924618 2023/08/09 23:34:09 - mmengine - INFO - Epoch(train) [106][ 90/327] lr: 5.000000e-04 eta: 3:20:09 time: 0.352508 data_time: 0.034363 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.820896 2023/08/09 23:34:12 - mmengine - INFO - Epoch(train) [106][100/327] lr: 5.000000e-04 eta: 3:20:06 time: 0.361184 data_time: 0.034553 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.937739 2023/08/09 23:34:16 - mmengine - INFO - Epoch(train) [106][110/327] lr: 5.000000e-04 eta: 3:20:03 time: 0.369920 data_time: 0.031826 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.895090 2023/08/09 23:34:20 - mmengine - INFO - Epoch(train) [106][120/327] lr: 5.000000e-04 eta: 3:19:59 time: 0.374018 data_time: 0.031664 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.896937 2023/08/09 23:34:24 - mmengine - INFO - Epoch(train) [106][130/327] lr: 5.000000e-04 eta: 3:19:56 time: 0.371237 data_time: 0.031286 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.950000 2023/08/09 23:34:27 - mmengine - INFO - Epoch(train) [106][140/327] lr: 5.000000e-04 eta: 3:19:52 time: 0.369575 data_time: 0.031209 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.909084 2023/08/09 23:34:31 - mmengine - INFO - Epoch(train) [106][150/327] lr: 5.000000e-04 eta: 3:19:49 time: 0.362078 data_time: 0.031316 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.918026 2023/08/09 23:34:34 - mmengine - INFO - Epoch(train) [106][160/327] lr: 5.000000e-04 eta: 3:19:45 time: 0.352232 data_time: 0.031579 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.858325 2023/08/09 23:34:37 - mmengine - INFO - Epoch(train) [106][170/327] lr: 5.000000e-04 eta: 3:19:41 time: 0.343189 data_time: 0.031600 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.982759 2023/08/09 23:34:41 - mmengine - INFO - Epoch(train) [106][180/327] lr: 5.000000e-04 eta: 3:19:38 time: 0.342094 data_time: 0.031491 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.919482 2023/08/09 23:34:44 - mmengine - INFO - Epoch(train) [106][190/327] lr: 5.000000e-04 eta: 3:19:34 time: 0.341716 data_time: 0.030940 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.836778 2023/08/09 23:34:48 - mmengine - INFO - Epoch(train) [106][200/327] lr: 5.000000e-04 eta: 3:19:31 time: 0.348717 data_time: 0.030539 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.929017 2023/08/09 23:34:51 - mmengine - INFO - Epoch(train) [106][210/327] lr: 5.000000e-04 eta: 3:19:27 time: 0.347867 data_time: 0.030121 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.938976 2023/08/09 23:34:55 - mmengine - INFO - Epoch(train) [106][220/327] lr: 5.000000e-04 eta: 3:19:24 time: 0.350914 data_time: 0.030614 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.901511 2023/08/09 23:34:59 - mmengine - INFO - Epoch(train) [106][230/327] lr: 5.000000e-04 eta: 3:19:21 time: 0.359726 data_time: 0.030772 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.940768 2023/08/09 23:35:02 - mmengine - INFO - Epoch(train) [106][240/327] lr: 5.000000e-04 eta: 3:19:17 time: 0.366103 data_time: 0.031285 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.885776 2023/08/09 23:35:06 - mmengine - INFO - Epoch(train) [106][250/327] lr: 5.000000e-04 eta: 3:19:14 time: 0.366510 data_time: 0.032368 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.982738 2023/08/09 23:35:10 - mmengine - INFO - Epoch(train) [106][260/327] lr: 5.000000e-04 eta: 3:19:11 time: 0.374153 data_time: 0.032455 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.859066 2023/08/09 23:35:14 - mmengine - INFO - Epoch(train) [106][270/327] lr: 5.000000e-04 eta: 3:19:08 time: 0.373621 data_time: 0.032256 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.915462 2023/08/09 23:35:17 - mmengine - INFO - Epoch(train) [106][280/327] lr: 5.000000e-04 eta: 3:19:04 time: 0.367073 data_time: 0.032597 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.872640 2023/08/09 23:35:21 - mmengine - INFO - Epoch(train) [106][290/327] lr: 5.000000e-04 eta: 3:19:01 time: 0.364476 data_time: 0.032444 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.915315 2023/08/09 23:35:24 - mmengine - INFO - Epoch(train) [106][300/327] lr: 5.000000e-04 eta: 3:18:57 time: 0.359758 data_time: 0.031727 memory: 4563 loss: 0.000658 loss_kpt: 0.000658 acc_pose: 0.904823 2023/08/09 23:35:28 - mmengine - INFO - Epoch(train) [106][310/327] lr: 5.000000e-04 eta: 3:18:54 time: 0.354830 data_time: 0.031572 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.953686 2023/08/09 23:35:31 - mmengine - INFO - Epoch(train) [106][320/327] lr: 5.000000e-04 eta: 3:18:50 time: 0.354011 data_time: 0.031390 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.907471 2023/08/09 23:35:34 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:35:37 - mmengine - INFO - Epoch(train) [107][ 10/327] lr: 5.000000e-04 eta: 3:18:44 time: 0.354427 data_time: 0.034394 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.922701 2023/08/09 23:35:41 - mmengine - INFO - Epoch(train) [107][ 20/327] lr: 5.000000e-04 eta: 3:18:41 time: 0.349246 data_time: 0.034611 memory: 4563 loss: 0.000677 loss_kpt: 0.000677 acc_pose: 0.786644 2023/08/09 23:35:44 - mmengine - INFO - Epoch(train) [107][ 30/327] lr: 5.000000e-04 eta: 3:18:37 time: 0.347417 data_time: 0.035721 memory: 4563 loss: 0.000694 loss_kpt: 0.000694 acc_pose: 0.872989 2023/08/09 23:35:48 - mmengine - INFO - Epoch(train) [107][ 40/327] lr: 5.000000e-04 eta: 3:18:34 time: 0.351032 data_time: 0.036747 memory: 4563 loss: 0.000691 loss_kpt: 0.000691 acc_pose: 0.827730 2023/08/09 23:35:51 - mmengine - INFO - Epoch(train) [107][ 50/327] lr: 5.000000e-04 eta: 3:18:30 time: 0.352891 data_time: 0.037732 memory: 4563 loss: 0.000674 loss_kpt: 0.000674 acc_pose: 0.861809 2023/08/09 23:35:55 - mmengine - INFO - Epoch(train) [107][ 60/327] lr: 5.000000e-04 eta: 3:18:27 time: 0.347609 data_time: 0.034388 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.852879 2023/08/09 23:35:58 - mmengine - INFO - Epoch(train) [107][ 70/327] lr: 5.000000e-04 eta: 3:18:23 time: 0.346639 data_time: 0.033809 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.857471 2023/08/09 23:36:02 - mmengine - INFO - Epoch(train) [107][ 80/327] lr: 5.000000e-04 eta: 3:18:19 time: 0.347271 data_time: 0.033229 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.857684 2023/08/09 23:36:05 - mmengine - INFO - Epoch(train) [107][ 90/327] lr: 5.000000e-04 eta: 3:18:16 time: 0.344938 data_time: 0.033261 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.853922 2023/08/09 23:36:09 - mmengine - INFO - Epoch(train) [107][100/327] lr: 5.000000e-04 eta: 3:18:12 time: 0.345934 data_time: 0.032974 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.874272 2023/08/09 23:36:12 - mmengine - INFO - Epoch(train) [107][110/327] lr: 5.000000e-04 eta: 3:18:09 time: 0.347558 data_time: 0.032777 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.899061 2023/08/09 23:36:15 - mmengine - INFO - Epoch(train) [107][120/327] lr: 5.000000e-04 eta: 3:18:05 time: 0.347069 data_time: 0.032640 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.939431 2023/08/09 23:36:19 - mmengine - INFO - Epoch(train) [107][130/327] lr: 5.000000e-04 eta: 3:18:02 time: 0.348882 data_time: 0.035064 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.856034 2023/08/09 23:36:22 - mmengine - INFO - Epoch(train) [107][140/327] lr: 5.000000e-04 eta: 3:17:58 time: 0.346289 data_time: 0.034222 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.805747 2023/08/09 23:36:26 - mmengine - INFO - Epoch(train) [107][150/327] lr: 5.000000e-04 eta: 3:17:55 time: 0.346254 data_time: 0.034023 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.876786 2023/08/09 23:36:29 - mmengine - INFO - Epoch(train) [107][160/327] lr: 5.000000e-04 eta: 3:17:51 time: 0.347504 data_time: 0.034148 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.909677 2023/08/09 23:36:33 - mmengine - INFO - Epoch(train) [107][170/327] lr: 5.000000e-04 eta: 3:17:48 time: 0.348808 data_time: 0.034402 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.893831 2023/08/09 23:36:36 - mmengine - INFO - Epoch(train) [107][180/327] lr: 5.000000e-04 eta: 3:17:44 time: 0.346754 data_time: 0.031915 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.874863 2023/08/09 23:36:40 - mmengine - INFO - Epoch(train) [107][190/327] lr: 5.000000e-04 eta: 3:17:40 time: 0.347374 data_time: 0.031829 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.891551 2023/08/09 23:36:43 - mmengine - INFO - Epoch(train) [107][200/327] lr: 5.000000e-04 eta: 3:17:37 time: 0.347199 data_time: 0.031638 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.887446 2023/08/09 23:36:47 - mmengine - INFO - Epoch(train) [107][210/327] lr: 5.000000e-04 eta: 3:17:33 time: 0.344421 data_time: 0.031444 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.846185 2023/08/09 23:36:50 - mmengine - INFO - Epoch(train) [107][220/327] lr: 5.000000e-04 eta: 3:17:30 time: 0.345432 data_time: 0.031464 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.911186 2023/08/09 23:36:54 - mmengine - INFO - Epoch(train) [107][230/327] lr: 5.000000e-04 eta: 3:17:26 time: 0.350801 data_time: 0.031766 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.806650 2023/08/09 23:36:58 - mmengine - INFO - Epoch(train) [107][240/327] lr: 5.000000e-04 eta: 3:17:23 time: 0.359549 data_time: 0.032001 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.881403 2023/08/09 23:37:01 - mmengine - INFO - Epoch(train) [107][250/327] lr: 5.000000e-04 eta: 3:17:20 time: 0.358830 data_time: 0.032124 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.873237 2023/08/09 23:37:05 - mmengine - INFO - Epoch(train) [107][260/327] lr: 5.000000e-04 eta: 3:17:16 time: 0.359401 data_time: 0.031850 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.848077 2023/08/09 23:37:08 - mmengine - INFO - Epoch(train) [107][270/327] lr: 5.000000e-04 eta: 3:17:13 time: 0.358682 data_time: 0.031884 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.879630 2023/08/09 23:37:12 - mmengine - INFO - Epoch(train) [107][280/327] lr: 5.000000e-04 eta: 3:17:09 time: 0.351872 data_time: 0.031126 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.919809 2023/08/09 23:37:15 - mmengine - INFO - Epoch(train) [107][290/327] lr: 5.000000e-04 eta: 3:17:06 time: 0.348429 data_time: 0.031863 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.907453 2023/08/09 23:37:19 - mmengine - INFO - Epoch(train) [107][300/327] lr: 5.000000e-04 eta: 3:17:02 time: 0.353116 data_time: 0.035757 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.951007 2023/08/09 23:37:23 - mmengine - INFO - Epoch(train) [107][310/327] lr: 5.000000e-04 eta: 3:16:59 time: 0.360434 data_time: 0.036294 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.852196 2023/08/09 23:37:26 - mmengine - INFO - Epoch(train) [107][320/327] lr: 5.000000e-04 eta: 3:16:56 time: 0.361484 data_time: 0.036002 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.929274 2023/08/09 23:37:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:37:32 - mmengine - INFO - Epoch(train) [108][ 10/327] lr: 5.000000e-04 eta: 3:16:50 time: 0.366220 data_time: 0.039093 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.804470 2023/08/09 23:37:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:37:36 - mmengine - INFO - Epoch(train) [108][ 20/327] lr: 5.000000e-04 eta: 3:16:46 time: 0.363936 data_time: 0.038152 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.907067 2023/08/09 23:37:39 - mmengine - INFO - Epoch(train) [108][ 30/327] lr: 5.000000e-04 eta: 3:16:43 time: 0.355137 data_time: 0.034423 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.894839 2023/08/09 23:37:43 - mmengine - INFO - Epoch(train) [108][ 40/327] lr: 5.000000e-04 eta: 3:16:39 time: 0.356044 data_time: 0.035073 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.957945 2023/08/09 23:37:47 - mmengine - INFO - Epoch(train) [108][ 50/327] lr: 5.000000e-04 eta: 3:16:36 time: 0.354162 data_time: 0.036171 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.881944 2023/08/09 23:37:50 - mmengine - INFO - Epoch(train) [108][ 60/327] lr: 5.000000e-04 eta: 3:16:32 time: 0.347917 data_time: 0.032117 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.955004 2023/08/09 23:37:53 - mmengine - INFO - Epoch(train) [108][ 70/327] lr: 5.000000e-04 eta: 3:16:29 time: 0.348879 data_time: 0.032233 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.823758 2023/08/09 23:37:57 - mmengine - INFO - Epoch(train) [108][ 80/327] lr: 5.000000e-04 eta: 3:16:25 time: 0.347441 data_time: 0.031877 memory: 4563 loss: 0.000637 loss_kpt: 0.000637 acc_pose: 0.950538 2023/08/09 23:38:00 - mmengine - INFO - Epoch(train) [108][ 90/327] lr: 5.000000e-04 eta: 3:16:22 time: 0.345944 data_time: 0.031425 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.947240 2023/08/09 23:38:04 - mmengine - INFO - Epoch(train) [108][100/327] lr: 5.000000e-04 eta: 3:16:18 time: 0.347078 data_time: 0.030901 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.877747 2023/08/09 23:38:07 - mmengine - INFO - Epoch(train) [108][110/327] lr: 5.000000e-04 eta: 3:16:15 time: 0.349371 data_time: 0.031313 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.938976 2023/08/09 23:38:11 - mmengine - INFO - Epoch(train) [108][120/327] lr: 5.000000e-04 eta: 3:16:11 time: 0.351160 data_time: 0.031873 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.820774 2023/08/09 23:38:14 - mmengine - INFO - Epoch(train) [108][130/327] lr: 5.000000e-04 eta: 3:16:08 time: 0.351674 data_time: 0.032023 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.943548 2023/08/09 23:38:18 - mmengine - INFO - Epoch(train) [108][140/327] lr: 5.000000e-04 eta: 3:16:04 time: 0.350733 data_time: 0.032237 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.919841 2023/08/09 23:38:21 - mmengine - INFO - Epoch(train) [108][150/327] lr: 5.000000e-04 eta: 3:16:00 time: 0.346676 data_time: 0.032089 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.917514 2023/08/09 23:38:25 - mmengine - INFO - Epoch(train) [108][160/327] lr: 5.000000e-04 eta: 3:15:57 time: 0.345890 data_time: 0.031730 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.956176 2023/08/09 23:38:28 - mmengine - INFO - Epoch(train) [108][170/327] lr: 5.000000e-04 eta: 3:15:54 time: 0.347821 data_time: 0.031332 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.923095 2023/08/09 23:38:32 - mmengine - INFO - Epoch(train) [108][180/327] lr: 5.000000e-04 eta: 3:15:50 time: 0.349904 data_time: 0.032178 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.898210 2023/08/09 23:38:36 - mmengine - INFO - Epoch(train) [108][190/327] lr: 5.000000e-04 eta: 3:15:47 time: 0.356671 data_time: 0.035481 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.908156 2023/08/09 23:38:39 - mmengine - INFO - Epoch(train) [108][200/327] lr: 5.000000e-04 eta: 3:15:43 time: 0.356678 data_time: 0.035417 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.883204 2023/08/09 23:38:43 - mmengine - INFO - Epoch(train) [108][210/327] lr: 5.000000e-04 eta: 3:15:40 time: 0.358080 data_time: 0.035433 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.949425 2023/08/09 23:38:46 - mmengine - INFO - Epoch(train) [108][220/327] lr: 5.000000e-04 eta: 3:15:36 time: 0.353556 data_time: 0.035325 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.886339 2023/08/09 23:38:50 - mmengine - INFO - Epoch(train) [108][230/327] lr: 5.000000e-04 eta: 3:15:33 time: 0.356604 data_time: 0.034785 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.905973 2023/08/09 23:38:53 - mmengine - INFO - Epoch(train) [108][240/327] lr: 5.000000e-04 eta: 3:15:29 time: 0.353451 data_time: 0.031802 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.961071 2023/08/09 23:38:57 - mmengine - INFO - Epoch(train) [108][250/327] lr: 5.000000e-04 eta: 3:15:26 time: 0.357131 data_time: 0.032809 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.895742 2023/08/09 23:39:00 - mmengine - INFO - Epoch(train) [108][260/327] lr: 5.000000e-04 eta: 3:15:22 time: 0.355346 data_time: 0.033123 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.916033 2023/08/09 23:39:04 - mmengine - INFO - Epoch(train) [108][270/327] lr: 5.000000e-04 eta: 3:15:19 time: 0.355822 data_time: 0.033100 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.908367 2023/08/09 23:39:07 - mmengine - INFO - Epoch(train) [108][280/327] lr: 5.000000e-04 eta: 3:15:15 time: 0.350208 data_time: 0.032777 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.836310 2023/08/09 23:39:11 - mmengine - INFO - Epoch(train) [108][290/327] lr: 5.000000e-04 eta: 3:15:12 time: 0.345082 data_time: 0.032035 memory: 4563 loss: 0.000652 loss_kpt: 0.000652 acc_pose: 0.851786 2023/08/09 23:39:14 - mmengine - INFO - Epoch(train) [108][300/327] lr: 5.000000e-04 eta: 3:15:08 time: 0.342210 data_time: 0.031621 memory: 4563 loss: 0.000650 loss_kpt: 0.000650 acc_pose: 0.864439 2023/08/09 23:39:17 - mmengine - INFO - Epoch(train) [108][310/327] lr: 5.000000e-04 eta: 3:15:04 time: 0.342490 data_time: 0.031338 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.895628 2023/08/09 23:39:21 - mmengine - INFO - Epoch(train) [108][320/327] lr: 5.000000e-04 eta: 3:15:01 time: 0.343680 data_time: 0.031331 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.846069 2023/08/09 23:39:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:39:27 - mmengine - INFO - Epoch(train) [109][ 10/327] lr: 5.000000e-04 eta: 3:14:55 time: 0.346255 data_time: 0.034891 memory: 4563 loss: 0.000670 loss_kpt: 0.000670 acc_pose: 0.927419 2023/08/09 23:39:30 - mmengine - INFO - Epoch(train) [109][ 20/327] lr: 5.000000e-04 eta: 3:14:51 time: 0.346340 data_time: 0.034688 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.886880 2023/08/09 23:39:34 - mmengine - INFO - Epoch(train) [109][ 30/327] lr: 5.000000e-04 eta: 3:14:48 time: 0.343526 data_time: 0.034554 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.922024 2023/08/09 23:39:37 - mmengine - INFO - Epoch(train) [109][ 40/327] lr: 5.000000e-04 eta: 3:14:44 time: 0.345242 data_time: 0.034332 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.918651 2023/08/09 23:39:41 - mmengine - INFO - Epoch(train) [109][ 50/327] lr: 5.000000e-04 eta: 3:14:41 time: 0.349572 data_time: 0.034920 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.855398 2023/08/09 23:39:44 - mmengine - INFO - Epoch(train) [109][ 60/327] lr: 5.000000e-04 eta: 3:14:37 time: 0.345407 data_time: 0.030860 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.902603 2023/08/09 23:39:48 - mmengine - INFO - Epoch(train) [109][ 70/327] lr: 5.000000e-04 eta: 3:14:34 time: 0.344531 data_time: 0.031177 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.881322 2023/08/09 23:39:51 - mmengine - INFO - Epoch(train) [109][ 80/327] lr: 5.000000e-04 eta: 3:14:30 time: 0.345301 data_time: 0.031957 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.860954 2023/08/09 23:39:54 - mmengine - INFO - Epoch(train) [109][ 90/327] lr: 5.000000e-04 eta: 3:14:26 time: 0.342092 data_time: 0.031939 memory: 4563 loss: 0.000669 loss_kpt: 0.000669 acc_pose: 0.878730 2023/08/09 23:39:58 - mmengine - INFO - Epoch(train) [109][100/327] lr: 5.000000e-04 eta: 3:14:23 time: 0.335791 data_time: 0.031488 memory: 4563 loss: 0.000661 loss_kpt: 0.000661 acc_pose: 0.927628 2023/08/09 23:40:01 - mmengine - INFO - Epoch(train) [109][110/327] lr: 5.000000e-04 eta: 3:14:19 time: 0.335900 data_time: 0.032011 memory: 4563 loss: 0.000660 loss_kpt: 0.000660 acc_pose: 0.899713 2023/08/09 23:40:04 - mmengine - INFO - Epoch(train) [109][120/327] lr: 5.000000e-04 eta: 3:14:15 time: 0.336113 data_time: 0.031611 memory: 4563 loss: 0.000654 loss_kpt: 0.000654 acc_pose: 0.931471 2023/08/09 23:40:08 - mmengine - INFO - Epoch(train) [109][130/327] lr: 5.000000e-04 eta: 3:14:12 time: 0.336321 data_time: 0.030788 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.923526 2023/08/09 23:40:11 - mmengine - INFO - Epoch(train) [109][140/327] lr: 5.000000e-04 eta: 3:14:08 time: 0.341686 data_time: 0.031483 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.940805 2023/08/09 23:40:15 - mmengine - INFO - Epoch(train) [109][150/327] lr: 5.000000e-04 eta: 3:14:05 time: 0.352385 data_time: 0.031899 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.916611 2023/08/09 23:40:19 - mmengine - INFO - Epoch(train) [109][160/327] lr: 5.000000e-04 eta: 3:14:02 time: 0.361295 data_time: 0.031723 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.840768 2023/08/09 23:40:23 - mmengine - INFO - Epoch(train) [109][170/327] lr: 5.000000e-04 eta: 3:13:58 time: 0.365658 data_time: 0.031653 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.933955 2023/08/09 23:40:26 - mmengine - INFO - Epoch(train) [109][180/327] lr: 5.000000e-04 eta: 3:13:55 time: 0.366446 data_time: 0.032841 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.865410 2023/08/09 23:40:30 - mmengine - INFO - Epoch(train) [109][190/327] lr: 5.000000e-04 eta: 3:13:51 time: 0.363206 data_time: 0.032546 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.922286 2023/08/09 23:40:33 - mmengine - INFO - Epoch(train) [109][200/327] lr: 5.000000e-04 eta: 3:13:48 time: 0.358649 data_time: 0.035617 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.948851 2023/08/09 23:40:37 - mmengine - INFO - Epoch(train) [109][210/327] lr: 5.000000e-04 eta: 3:13:44 time: 0.353471 data_time: 0.035577 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.918681 2023/08/09 23:40:40 - mmengine - INFO - Epoch(train) [109][220/327] lr: 5.000000e-04 eta: 3:13:41 time: 0.348500 data_time: 0.035357 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.952149 2023/08/09 23:40:43 - mmengine - INFO - Epoch(train) [109][230/327] lr: 5.000000e-04 eta: 3:13:37 time: 0.348051 data_time: 0.034995 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.934677 2023/08/09 23:40:47 - mmengine - INFO - Epoch(train) [109][240/327] lr: 5.000000e-04 eta: 3:13:34 time: 0.345162 data_time: 0.034770 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.868747 2023/08/09 23:40:50 - mmengine - INFO - Epoch(train) [109][250/327] lr: 5.000000e-04 eta: 3:13:30 time: 0.340656 data_time: 0.031806 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.896185 2023/08/09 23:40:54 - mmengine - INFO - Epoch(train) [109][260/327] lr: 5.000000e-04 eta: 3:13:27 time: 0.343889 data_time: 0.031705 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.894915 2023/08/09 23:40:58 - mmengine - INFO - Epoch(train) [109][270/327] lr: 5.000000e-04 eta: 3:13:23 time: 0.349373 data_time: 0.032241 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.876244 2023/08/09 23:41:01 - mmengine - INFO - Epoch(train) [109][280/327] lr: 5.000000e-04 eta: 3:13:20 time: 0.352020 data_time: 0.031772 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.773990 2023/08/09 23:41:04 - mmengine - INFO - Epoch(train) [109][290/327] lr: 5.000000e-04 eta: 3:13:16 time: 0.352586 data_time: 0.032128 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.867601 2023/08/09 23:41:08 - mmengine - INFO - Epoch(train) [109][300/327] lr: 5.000000e-04 eta: 3:13:12 time: 0.351292 data_time: 0.032121 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.897373 2023/08/09 23:41:11 - mmengine - INFO - Epoch(train) [109][310/327] lr: 5.000000e-04 eta: 3:13:09 time: 0.346160 data_time: 0.032400 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.917186 2023/08/09 23:41:15 - mmengine - INFO - Epoch(train) [109][320/327] lr: 5.000000e-04 eta: 3:13:05 time: 0.339855 data_time: 0.031808 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.913456 2023/08/09 23:41:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:41:21 - mmengine - INFO - Epoch(train) [110][ 10/327] lr: 5.000000e-04 eta: 3:12:59 time: 0.346185 data_time: 0.034748 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.929487 2023/08/09 23:41:24 - mmengine - INFO - Epoch(train) [110][ 20/327] lr: 5.000000e-04 eta: 3:12:56 time: 0.351031 data_time: 0.034514 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.965189 2023/08/09 23:41:28 - mmengine - INFO - Epoch(train) [110][ 30/327] lr: 5.000000e-04 eta: 3:12:52 time: 0.349110 data_time: 0.034012 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.911770 2023/08/09 23:41:31 - mmengine - INFO - Epoch(train) [110][ 40/327] lr: 5.000000e-04 eta: 3:12:49 time: 0.350415 data_time: 0.033855 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.930993 2023/08/09 23:41:34 - mmengine - INFO - Epoch(train) [110][ 50/327] lr: 5.000000e-04 eta: 3:12:45 time: 0.348838 data_time: 0.034686 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.908285 2023/08/09 23:41:38 - mmengine - INFO - Epoch(train) [110][ 60/327] lr: 5.000000e-04 eta: 3:12:42 time: 0.341844 data_time: 0.030508 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.931609 2023/08/09 23:41:41 - mmengine - INFO - Epoch(train) [110][ 70/327] lr: 5.000000e-04 eta: 3:12:38 time: 0.340695 data_time: 0.031227 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.920196 2023/08/09 23:41:45 - mmengine - INFO - Epoch(train) [110][ 80/327] lr: 5.000000e-04 eta: 3:12:35 time: 0.344219 data_time: 0.031794 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.859270 2023/08/09 23:41:48 - mmengine - INFO - Epoch(train) [110][ 90/327] lr: 5.000000e-04 eta: 3:12:31 time: 0.344028 data_time: 0.032102 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.916609 2023/08/09 23:41:52 - mmengine - INFO - Epoch(train) [110][100/327] lr: 5.000000e-04 eta: 3:12:27 time: 0.347054 data_time: 0.032111 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.932471 2023/08/09 23:41:55 - mmengine - INFO - Epoch(train) [110][110/327] lr: 5.000000e-04 eta: 3:12:24 time: 0.344596 data_time: 0.031871 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.917888 2023/08/09 23:41:58 - mmengine - INFO - Epoch(train) [110][120/327] lr: 5.000000e-04 eta: 3:12:20 time: 0.341624 data_time: 0.031106 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.958584 2023/08/09 23:42:02 - mmengine - INFO - Epoch(train) [110][130/327] lr: 5.000000e-04 eta: 3:12:16 time: 0.338367 data_time: 0.030512 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.897065 2023/08/09 23:42:05 - mmengine - INFO - Epoch(train) [110][140/327] lr: 5.000000e-04 eta: 3:12:13 time: 0.340092 data_time: 0.030711 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.750011 2023/08/09 23:42:09 - mmengine - INFO - Epoch(train) [110][150/327] lr: 5.000000e-04 eta: 3:12:09 time: 0.339918 data_time: 0.030816 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.880481 2023/08/09 23:42:12 - mmengine - INFO - Epoch(train) [110][160/327] lr: 5.000000e-04 eta: 3:12:06 time: 0.344244 data_time: 0.031005 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.948479 2023/08/09 23:42:16 - mmengine - INFO - Epoch(train) [110][170/327] lr: 5.000000e-04 eta: 3:12:02 time: 0.350171 data_time: 0.031404 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.946627 2023/08/09 23:42:19 - mmengine - INFO - Epoch(train) [110][180/327] lr: 5.000000e-04 eta: 3:11:59 time: 0.348970 data_time: 0.031480 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.830488 2023/08/09 23:42:23 - mmengine - INFO - Epoch(train) [110][190/327] lr: 5.000000e-04 eta: 3:11:55 time: 0.346811 data_time: 0.031003 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.851382 2023/08/09 23:42:26 - mmengine - INFO - Epoch(train) [110][200/327] lr: 5.000000e-04 eta: 3:11:52 time: 0.343868 data_time: 0.031020 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.891342 2023/08/09 23:42:29 - mmengine - INFO - Epoch(train) [110][210/327] lr: 5.000000e-04 eta: 3:11:48 time: 0.341756 data_time: 0.030999 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.932988 2023/08/09 23:42:33 - mmengine - INFO - Epoch(train) [110][220/327] lr: 5.000000e-04 eta: 3:11:44 time: 0.336892 data_time: 0.030691 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.948214 2023/08/09 23:42:36 - mmengine - INFO - Epoch(train) [110][230/327] lr: 5.000000e-04 eta: 3:11:41 time: 0.340138 data_time: 0.031690 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.904779 2023/08/09 23:42:40 - mmengine - INFO - Epoch(train) [110][240/327] lr: 5.000000e-04 eta: 3:11:38 time: 0.351040 data_time: 0.032399 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.843735 2023/08/09 23:42:44 - mmengine - INFO - Epoch(train) [110][250/327] lr: 5.000000e-04 eta: 3:11:34 time: 0.351856 data_time: 0.032957 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.958046 2023/08/09 23:42:47 - mmengine - INFO - Epoch(train) [110][260/327] lr: 5.000000e-04 eta: 3:11:30 time: 0.351693 data_time: 0.033540 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.900538 2023/08/09 23:42:51 - mmengine - INFO - Epoch(train) [110][270/327] lr: 5.000000e-04 eta: 3:11:27 time: 0.356116 data_time: 0.033811 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.963932 2023/08/09 23:42:54 - mmengine - INFO - Epoch(train) [110][280/327] lr: 5.000000e-04 eta: 3:11:24 time: 0.359876 data_time: 0.032806 memory: 4563 loss: 0.000642 loss_kpt: 0.000642 acc_pose: 0.907382 2023/08/09 23:42:58 - mmengine - INFO - Epoch(train) [110][290/327] lr: 5.000000e-04 eta: 3:11:20 time: 0.353114 data_time: 0.032436 memory: 4563 loss: 0.000646 loss_kpt: 0.000646 acc_pose: 0.860222 2023/08/09 23:43:01 - mmengine - INFO - Epoch(train) [110][300/327] lr: 5.000000e-04 eta: 3:11:17 time: 0.351767 data_time: 0.031690 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.959677 2023/08/09 23:43:04 - mmengine - INFO - Epoch(train) [110][310/327] lr: 5.000000e-04 eta: 3:11:13 time: 0.349140 data_time: 0.030849 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.902203 2023/08/09 23:43:08 - mmengine - INFO - Epoch(train) [110][320/327] lr: 5.000000e-04 eta: 3:11:09 time: 0.343712 data_time: 0.030348 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.933834 2023/08/09 23:43:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:43:10 - mmengine - INFO - Saving checkpoint at 110 epochs 2023/08/09 23:43:16 - mmengine - INFO - Epoch(val) [110][10/79] eta: 0:00:14 time: 0.195411 data_time: 0.012805 memory: 4563 2023/08/09 23:43:18 - mmengine - INFO - Epoch(val) [110][20/79] eta: 0:00:11 time: 0.195690 data_time: 0.012924 memory: 1634 2023/08/09 23:43:20 - mmengine - INFO - Epoch(val) [110][30/79] eta: 0:00:09 time: 0.195032 data_time: 0.012562 memory: 1634 2023/08/09 23:43:22 - mmengine - INFO - Epoch(val) [110][40/79] eta: 0:00:07 time: 0.195231 data_time: 0.012784 memory: 1634 2023/08/09 23:43:24 - mmengine - INFO - Epoch(val) [110][50/79] eta: 0:00:05 time: 0.197749 data_time: 0.013268 memory: 1634 2023/08/09 23:43:25 - mmengine - INFO - Epoch(val) [110][60/79] eta: 0:00:03 time: 0.195533 data_time: 0.011407 memory: 1634 2023/08/09 23:43:27 - mmengine - INFO - Epoch(val) [110][70/79] eta: 0:00:01 time: 0.195127 data_time: 0.011227 memory: 1634 2023/08/09 23:43:29 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/09 23:43:29 - mmengine - INFO - Evaluating AUC... 2023/08/09 23:43:29 - mmengine - INFO - Evaluating EPE... 2023/08/09 23:43:29 - mmengine - INFO - Epoch(val) [110][79/79] PCK: 0.977406 AUC: 0.757309 EPE: 9.074130 data_time: 0.012208 time: 0.193871 2023/08/09 23:43:30 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_90.pth is removed 2023/08/09 23:43:32 - mmengine - INFO - The best checkpoint with 0.7573 AUC at 110 epoch is saved to best_AUC_epoch_110.pth. 2023/08/09 23:43:39 - mmengine - INFO - Epoch(train) [111][ 10/327] lr: 5.000000e-04 eta: 3:11:03 time: 0.344233 data_time: 0.034935 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.902851 2023/08/09 23:43:43 - mmengine - INFO - Epoch(train) [111][ 20/327] lr: 5.000000e-04 eta: 3:11:00 time: 0.349968 data_time: 0.035389 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.923214 2023/08/09 23:43:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:43:46 - mmengine - INFO - Epoch(train) [111][ 30/327] lr: 5.000000e-04 eta: 3:10:57 time: 0.354717 data_time: 0.035886 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.902773 2023/08/09 23:43:50 - mmengine - INFO - Epoch(train) [111][ 40/327] lr: 5.000000e-04 eta: 3:10:53 time: 0.357970 data_time: 0.036314 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.931897 2023/08/09 23:43:53 - mmengine - INFO - Epoch(train) [111][ 50/327] lr: 5.000000e-04 eta: 3:10:49 time: 0.359114 data_time: 0.036516 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.930150 2023/08/09 23:43:57 - mmengine - INFO - Epoch(train) [111][ 60/327] lr: 5.000000e-04 eta: 3:10:46 time: 0.349938 data_time: 0.032191 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.908730 2023/08/09 23:44:00 - mmengine - INFO - Epoch(train) [111][ 70/327] lr: 5.000000e-04 eta: 3:10:42 time: 0.344811 data_time: 0.032120 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.869871 2023/08/09 23:44:04 - mmengine - INFO - Epoch(train) [111][ 80/327] lr: 5.000000e-04 eta: 3:10:39 time: 0.343982 data_time: 0.031798 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.965517 2023/08/09 23:44:07 - mmengine - INFO - Epoch(train) [111][ 90/327] lr: 5.000000e-04 eta: 3:10:35 time: 0.346752 data_time: 0.032186 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.929239 2023/08/09 23:44:11 - mmengine - INFO - Epoch(train) [111][100/327] lr: 5.000000e-04 eta: 3:10:32 time: 0.356562 data_time: 0.032930 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.946296 2023/08/09 23:44:15 - mmengine - INFO - Epoch(train) [111][110/327] lr: 5.000000e-04 eta: 3:10:29 time: 0.363829 data_time: 0.031932 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.888180 2023/08/09 23:44:19 - mmengine - INFO - Epoch(train) [111][120/327] lr: 5.000000e-04 eta: 3:10:26 time: 0.371931 data_time: 0.031527 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.859426 2023/08/09 23:44:22 - mmengine - INFO - Epoch(train) [111][130/327] lr: 5.000000e-04 eta: 3:10:22 time: 0.370210 data_time: 0.031486 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.874408 2023/08/09 23:44:26 - mmengine - INFO - Epoch(train) [111][140/327] lr: 5.000000e-04 eta: 3:10:18 time: 0.366097 data_time: 0.030866 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.870562 2023/08/09 23:44:29 - mmengine - INFO - Epoch(train) [111][150/327] lr: 5.000000e-04 eta: 3:10:15 time: 0.360215 data_time: 0.030155 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.857828 2023/08/09 23:44:33 - mmengine - INFO - Epoch(train) [111][160/327] lr: 5.000000e-04 eta: 3:10:12 time: 0.353210 data_time: 0.030483 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.958333 2023/08/09 23:44:36 - mmengine - INFO - Epoch(train) [111][170/327] lr: 5.000000e-04 eta: 3:10:08 time: 0.348304 data_time: 0.030743 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.933548 2023/08/09 23:44:40 - mmengine - INFO - Epoch(train) [111][180/327] lr: 5.000000e-04 eta: 3:10:04 time: 0.349585 data_time: 0.030759 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.941559 2023/08/09 23:44:43 - mmengine - INFO - Epoch(train) [111][190/327] lr: 5.000000e-04 eta: 3:10:01 time: 0.349622 data_time: 0.030808 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.927791 2023/08/09 23:44:46 - mmengine - INFO - Epoch(train) [111][200/327] lr: 5.000000e-04 eta: 3:09:57 time: 0.346542 data_time: 0.030638 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.909066 2023/08/09 23:44:50 - mmengine - INFO - Epoch(train) [111][210/327] lr: 5.000000e-04 eta: 3:09:54 time: 0.348065 data_time: 0.030826 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.947917 2023/08/09 23:44:53 - mmengine - INFO - Epoch(train) [111][220/327] lr: 5.000000e-04 eta: 3:09:50 time: 0.345961 data_time: 0.031089 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.879814 2023/08/09 23:44:57 - mmengine - INFO - Epoch(train) [111][230/327] lr: 5.000000e-04 eta: 3:09:47 time: 0.346498 data_time: 0.031811 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.940700 2023/08/09 23:45:00 - mmengine - INFO - Epoch(train) [111][240/327] lr: 5.000000e-04 eta: 3:09:43 time: 0.346991 data_time: 0.031718 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.939943 2023/08/09 23:45:04 - mmengine - INFO - Epoch(train) [111][250/327] lr: 5.000000e-04 eta: 3:09:40 time: 0.346002 data_time: 0.032065 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.917044 2023/08/09 23:45:07 - mmengine - INFO - Epoch(train) [111][260/327] lr: 5.000000e-04 eta: 3:09:36 time: 0.343464 data_time: 0.032191 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.912828 2023/08/09 23:45:11 - mmengine - INFO - Epoch(train) [111][270/327] lr: 5.000000e-04 eta: 3:09:32 time: 0.342261 data_time: 0.032256 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.933756 2023/08/09 23:45:14 - mmengine - INFO - Epoch(train) [111][280/327] lr: 5.000000e-04 eta: 3:09:29 time: 0.341259 data_time: 0.031834 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.875417 2023/08/09 23:45:17 - mmengine - INFO - Epoch(train) [111][290/327] lr: 5.000000e-04 eta: 3:09:25 time: 0.340947 data_time: 0.031820 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.896912 2023/08/09 23:45:21 - mmengine - INFO - Epoch(train) [111][300/327] lr: 5.000000e-04 eta: 3:09:22 time: 0.343603 data_time: 0.031707 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.876671 2023/08/09 23:45:24 - mmengine - INFO - Epoch(train) [111][310/327] lr: 5.000000e-04 eta: 3:09:18 time: 0.345697 data_time: 0.031893 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.844907 2023/08/09 23:45:28 - mmengine - INFO - Epoch(train) [111][320/327] lr: 5.000000e-04 eta: 3:09:15 time: 0.347160 data_time: 0.031185 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.942610 2023/08/09 23:45:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:45:34 - mmengine - INFO - Epoch(train) [112][ 10/327] lr: 5.000000e-04 eta: 3:09:09 time: 0.347753 data_time: 0.033887 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.867394 2023/08/09 23:45:37 - mmengine - INFO - Epoch(train) [112][ 20/327] lr: 5.000000e-04 eta: 3:09:05 time: 0.343347 data_time: 0.033591 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.937798 2023/08/09 23:45:41 - mmengine - INFO - Epoch(train) [112][ 30/327] lr: 5.000000e-04 eta: 3:09:01 time: 0.340833 data_time: 0.033120 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.923768 2023/08/09 23:45:44 - mmengine - INFO - Epoch(train) [112][ 40/327] lr: 5.000000e-04 eta: 3:08:58 time: 0.338403 data_time: 0.033531 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.934409 2023/08/09 23:45:47 - mmengine - INFO - Epoch(train) [112][ 50/327] lr: 5.000000e-04 eta: 3:08:54 time: 0.340573 data_time: 0.035279 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.948276 2023/08/09 23:45:51 - mmengine - INFO - Epoch(train) [112][ 60/327] lr: 5.000000e-04 eta: 3:08:50 time: 0.335702 data_time: 0.031908 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.885735 2023/08/09 23:45:54 - mmengine - INFO - Epoch(train) [112][ 70/327] lr: 5.000000e-04 eta: 3:08:47 time: 0.338341 data_time: 0.032473 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.897853 2023/08/09 23:45:58 - mmengine - INFO - Epoch(train) [112][ 80/327] lr: 5.000000e-04 eta: 3:08:44 time: 0.346252 data_time: 0.032656 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.966092 2023/08/09 23:46:01 - mmengine - INFO - Epoch(train) [112][ 90/327] lr: 5.000000e-04 eta: 3:08:40 time: 0.346526 data_time: 0.032678 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.826613 2023/08/09 23:46:05 - mmengine - INFO - Epoch(train) [112][100/327] lr: 5.000000e-04 eta: 3:08:36 time: 0.345926 data_time: 0.032313 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.922024 2023/08/09 23:46:08 - mmengine - INFO - Epoch(train) [112][110/327] lr: 5.000000e-04 eta: 3:08:33 time: 0.347145 data_time: 0.032756 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.899041 2023/08/09 23:46:11 - mmengine - INFO - Epoch(train) [112][120/327] lr: 5.000000e-04 eta: 3:08:29 time: 0.346038 data_time: 0.032827 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.825820 2023/08/09 23:46:15 - mmengine - INFO - Epoch(train) [112][130/327] lr: 5.000000e-04 eta: 3:08:25 time: 0.336458 data_time: 0.032389 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.915035 2023/08/09 23:46:18 - mmengine - INFO - Epoch(train) [112][140/327] lr: 5.000000e-04 eta: 3:08:22 time: 0.337776 data_time: 0.031898 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.919203 2023/08/09 23:46:22 - mmengine - INFO - Epoch(train) [112][150/327] lr: 5.000000e-04 eta: 3:08:18 time: 0.338480 data_time: 0.031363 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.874337 2023/08/09 23:46:25 - mmengine - INFO - Epoch(train) [112][160/327] lr: 5.000000e-04 eta: 3:08:15 time: 0.337304 data_time: 0.030388 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.908685 2023/08/09 23:46:28 - mmengine - INFO - Epoch(train) [112][170/327] lr: 5.000000e-04 eta: 3:08:11 time: 0.335528 data_time: 0.029741 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.945080 2023/08/09 23:46:32 - mmengine - INFO - Epoch(train) [112][180/327] lr: 5.000000e-04 eta: 3:08:07 time: 0.339380 data_time: 0.030399 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.941630 2023/08/09 23:46:35 - mmengine - INFO - Epoch(train) [112][190/327] lr: 5.000000e-04 eta: 3:08:04 time: 0.341961 data_time: 0.031320 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.899221 2023/08/09 23:46:39 - mmengine - INFO - Epoch(train) [112][200/327] lr: 5.000000e-04 eta: 3:08:00 time: 0.340995 data_time: 0.031403 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.929599 2023/08/09 23:46:42 - mmengine - INFO - Epoch(train) [112][210/327] lr: 5.000000e-04 eta: 3:07:57 time: 0.340928 data_time: 0.031742 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.796037 2023/08/09 23:46:45 - mmengine - INFO - Epoch(train) [112][220/327] lr: 5.000000e-04 eta: 3:07:53 time: 0.340659 data_time: 0.031773 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.854824 2023/08/09 23:46:48 - mmengine - INFO - Epoch(train) [112][230/327] lr: 5.000000e-04 eta: 3:07:49 time: 0.337147 data_time: 0.031095 memory: 4563 loss: 0.000668 loss_kpt: 0.000668 acc_pose: 0.958276 2023/08/09 23:46:52 - mmengine - INFO - Epoch(train) [112][240/327] lr: 5.000000e-04 eta: 3:07:46 time: 0.333116 data_time: 0.030236 memory: 4563 loss: 0.000664 loss_kpt: 0.000664 acc_pose: 0.892458 2023/08/09 23:46:55 - mmengine - INFO - Epoch(train) [112][250/327] lr: 5.000000e-04 eta: 3:07:42 time: 0.333341 data_time: 0.030315 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.935936 2023/08/09 23:46:59 - mmengine - INFO - Epoch(train) [112][260/327] lr: 5.000000e-04 eta: 3:07:38 time: 0.334902 data_time: 0.030339 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.933689 2023/08/09 23:47:02 - mmengine - INFO - Epoch(train) [112][270/327] lr: 5.000000e-04 eta: 3:07:35 time: 0.339766 data_time: 0.030776 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.911216 2023/08/09 23:47:06 - mmengine - INFO - Epoch(train) [112][280/327] lr: 5.000000e-04 eta: 3:07:31 time: 0.340416 data_time: 0.031418 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.966667 2023/08/09 23:47:09 - mmengine - INFO - Epoch(train) [112][290/327] lr: 5.000000e-04 eta: 3:07:28 time: 0.339641 data_time: 0.031330 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.931535 2023/08/09 23:47:12 - mmengine - INFO - Epoch(train) [112][300/327] lr: 5.000000e-04 eta: 3:07:24 time: 0.338945 data_time: 0.031196 memory: 4563 loss: 0.000645 loss_kpt: 0.000645 acc_pose: 0.935719 2023/08/09 23:47:16 - mmengine - INFO - Epoch(train) [112][310/327] lr: 5.000000e-04 eta: 3:07:20 time: 0.338010 data_time: 0.030909 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.923526 2023/08/09 23:47:19 - mmengine - INFO - Epoch(train) [112][320/327] lr: 5.000000e-04 eta: 3:07:17 time: 0.336548 data_time: 0.031067 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.855776 2023/08/09 23:47:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:47:25 - mmengine - INFO - Epoch(train) [113][ 10/327] lr: 5.000000e-04 eta: 3:07:11 time: 0.344927 data_time: 0.034664 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.919241 2023/08/09 23:47:29 - mmengine - INFO - Epoch(train) [113][ 20/327] lr: 5.000000e-04 eta: 3:07:07 time: 0.346605 data_time: 0.034619 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.873276 2023/08/09 23:47:32 - mmengine - INFO - Epoch(train) [113][ 30/327] lr: 5.000000e-04 eta: 3:07:04 time: 0.351325 data_time: 0.037970 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.875641 2023/08/09 23:47:36 - mmengine - INFO - Epoch(train) [113][ 40/327] lr: 5.000000e-04 eta: 3:07:00 time: 0.351223 data_time: 0.037698 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.946691 2023/08/09 23:47:39 - mmengine - INFO - Epoch(train) [113][ 50/327] lr: 5.000000e-04 eta: 3:06:57 time: 0.356337 data_time: 0.038235 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.930973 2023/08/09 23:47:43 - mmengine - INFO - Epoch(train) [113][ 60/327] lr: 5.000000e-04 eta: 3:06:54 time: 0.351568 data_time: 0.034294 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.965209 2023/08/09 23:47:46 - mmengine - INFO - Epoch(train) [113][ 70/327] lr: 5.000000e-04 eta: 3:06:50 time: 0.352880 data_time: 0.034916 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.904249 2023/08/09 23:47:50 - mmengine - INFO - Epoch(train) [113][ 80/327] lr: 5.000000e-04 eta: 3:06:46 time: 0.350702 data_time: 0.032159 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.928142 2023/08/09 23:47:53 - mmengine - INFO - Epoch(train) [113][ 90/327] lr: 5.000000e-04 eta: 3:06:43 time: 0.351478 data_time: 0.032344 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.962963 2023/08/09 23:47:57 - mmengine - INFO - Epoch(train) [113][100/327] lr: 5.000000e-04 eta: 3:06:40 time: 0.351853 data_time: 0.031960 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.868086 2023/08/09 23:48:01 - mmengine - INFO - Epoch(train) [113][110/327] lr: 5.000000e-04 eta: 3:06:36 time: 0.358118 data_time: 0.031632 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.888781 2023/08/09 23:48:04 - mmengine - INFO - Epoch(train) [113][120/327] lr: 5.000000e-04 eta: 3:06:33 time: 0.358700 data_time: 0.031363 memory: 4563 loss: 0.000632 loss_kpt: 0.000632 acc_pose: 0.927100 2023/08/09 23:48:08 - mmengine - INFO - Epoch(train) [113][130/327] lr: 5.000000e-04 eta: 3:06:29 time: 0.359347 data_time: 0.031442 memory: 4563 loss: 0.000644 loss_kpt: 0.000644 acc_pose: 0.841008 2023/08/09 23:48:11 - mmengine - INFO - Epoch(train) [113][140/327] lr: 5.000000e-04 eta: 3:06:26 time: 0.359940 data_time: 0.031464 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.916092 2023/08/09 23:48:15 - mmengine - INFO - Epoch(train) [113][150/327] lr: 5.000000e-04 eta: 3:06:22 time: 0.357025 data_time: 0.032252 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.940956 2023/08/09 23:48:18 - mmengine - INFO - Epoch(train) [113][160/327] lr: 5.000000e-04 eta: 3:06:19 time: 0.351408 data_time: 0.031997 memory: 4563 loss: 0.000653 loss_kpt: 0.000653 acc_pose: 0.911239 2023/08/09 23:48:22 - mmengine - INFO - Epoch(train) [113][170/327] lr: 5.000000e-04 eta: 3:06:15 time: 0.351087 data_time: 0.031707 memory: 4563 loss: 0.000671 loss_kpt: 0.000671 acc_pose: 0.899021 2023/08/09 23:48:25 - mmengine - INFO - Epoch(train) [113][180/327] lr: 5.000000e-04 eta: 3:06:12 time: 0.354260 data_time: 0.031488 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.899944 2023/08/09 23:48:29 - mmengine - INFO - Epoch(train) [113][190/327] lr: 5.000000e-04 eta: 3:06:08 time: 0.354319 data_time: 0.032034 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.919825 2023/08/09 23:48:32 - mmengine - INFO - Epoch(train) [113][200/327] lr: 5.000000e-04 eta: 3:06:05 time: 0.356089 data_time: 0.031506 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.941014 2023/08/09 23:48:36 - mmengine - INFO - Epoch(train) [113][210/327] lr: 5.000000e-04 eta: 3:06:02 time: 0.358165 data_time: 0.032012 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.887500 2023/08/09 23:48:40 - mmengine - INFO - Epoch(train) [113][220/327] lr: 5.000000e-04 eta: 3:05:58 time: 0.367399 data_time: 0.035835 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.886084 2023/08/09 23:48:44 - mmengine - INFO - Epoch(train) [113][230/327] lr: 5.000000e-04 eta: 3:05:55 time: 0.370152 data_time: 0.035899 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.898214 2023/08/09 23:48:48 - mmengine - INFO - Epoch(train) [113][240/327] lr: 5.000000e-04 eta: 3:05:52 time: 0.375969 data_time: 0.035418 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.877155 2023/08/09 23:48:51 - mmengine - INFO - Epoch(train) [113][250/327] lr: 5.000000e-04 eta: 3:05:48 time: 0.372787 data_time: 0.035322 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.854179 2023/08/09 23:48:55 - mmengine - INFO - Epoch(train) [113][260/327] lr: 5.000000e-04 eta: 3:05:45 time: 0.372115 data_time: 0.035177 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.835817 2023/08/09 23:48:58 - mmengine - INFO - Epoch(train) [113][270/327] lr: 5.000000e-04 eta: 3:05:41 time: 0.362872 data_time: 0.031803 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.907280 2023/08/09 23:49:02 - mmengine - INFO - Epoch(train) [113][280/327] lr: 5.000000e-04 eta: 3:05:38 time: 0.357010 data_time: 0.031630 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.933405 2023/08/09 23:49:05 - mmengine - INFO - Epoch(train) [113][290/327] lr: 5.000000e-04 eta: 3:05:34 time: 0.350251 data_time: 0.031213 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.912434 2023/08/09 23:49:09 - mmengine - INFO - Epoch(train) [113][300/327] lr: 5.000000e-04 eta: 3:05:31 time: 0.350844 data_time: 0.030823 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.933296 2023/08/09 23:49:12 - mmengine - INFO - Epoch(train) [113][310/327] lr: 5.000000e-04 eta: 3:05:27 time: 0.348933 data_time: 0.030691 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.891698 2023/08/09 23:49:16 - mmengine - INFO - Epoch(train) [113][320/327] lr: 5.000000e-04 eta: 3:05:24 time: 0.348281 data_time: 0.030478 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.836971 2023/08/09 23:49:18 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:49:22 - mmengine - INFO - Epoch(train) [114][ 10/327] lr: 5.000000e-04 eta: 3:05:18 time: 0.355172 data_time: 0.033686 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.904167 2023/08/09 23:49:26 - mmengine - INFO - Epoch(train) [114][ 20/327] lr: 5.000000e-04 eta: 3:05:15 time: 0.357576 data_time: 0.034470 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.935954 2023/08/09 23:49:29 - mmengine - INFO - Epoch(train) [114][ 30/327] lr: 5.000000e-04 eta: 3:05:11 time: 0.355127 data_time: 0.034660 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.933834 2023/08/09 23:49:32 - mmengine - INFO - Epoch(train) [114][ 40/327] lr: 5.000000e-04 eta: 3:05:08 time: 0.355392 data_time: 0.034815 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.957471 2023/08/09 23:49:35 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:49:36 - mmengine - INFO - Epoch(train) [114][ 50/327] lr: 5.000000e-04 eta: 3:05:04 time: 0.356072 data_time: 0.036106 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.946627 2023/08/09 23:49:39 - mmengine - INFO - Epoch(train) [114][ 60/327] lr: 5.000000e-04 eta: 3:05:01 time: 0.348871 data_time: 0.032415 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.955357 2023/08/09 23:49:43 - mmengine - INFO - Epoch(train) [114][ 70/327] lr: 5.000000e-04 eta: 3:04:57 time: 0.350047 data_time: 0.032235 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.870106 2023/08/09 23:49:47 - mmengine - INFO - Epoch(train) [114][ 80/327] lr: 5.000000e-04 eta: 3:04:54 time: 0.355065 data_time: 0.032460 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.912044 2023/08/09 23:49:50 - mmengine - INFO - Epoch(train) [114][ 90/327] lr: 5.000000e-04 eta: 3:04:50 time: 0.360268 data_time: 0.031983 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.945106 2023/08/09 23:49:54 - mmengine - INFO - Epoch(train) [114][100/327] lr: 5.000000e-04 eta: 3:04:47 time: 0.361729 data_time: 0.031688 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.934941 2023/08/09 23:49:57 - mmengine - INFO - Epoch(train) [114][110/327] lr: 5.000000e-04 eta: 3:04:43 time: 0.360407 data_time: 0.031139 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.898409 2023/08/09 23:50:01 - mmengine - INFO - Epoch(train) [114][120/327] lr: 5.000000e-04 eta: 3:04:40 time: 0.354815 data_time: 0.030520 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.946736 2023/08/09 23:50:04 - mmengine - INFO - Epoch(train) [114][130/327] lr: 5.000000e-04 eta: 3:04:36 time: 0.350764 data_time: 0.030301 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.891245 2023/08/09 23:50:08 - mmengine - INFO - Epoch(train) [114][140/327] lr: 5.000000e-04 eta: 3:04:33 time: 0.345768 data_time: 0.030451 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.923563 2023/08/09 23:50:11 - mmengine - INFO - Epoch(train) [114][150/327] lr: 5.000000e-04 eta: 3:04:29 time: 0.345442 data_time: 0.030636 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.885776 2023/08/09 23:50:15 - mmengine - INFO - Epoch(train) [114][160/327] lr: 5.000000e-04 eta: 3:04:26 time: 0.346386 data_time: 0.030663 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.893934 2023/08/09 23:50:18 - mmengine - INFO - Epoch(train) [114][170/327] lr: 5.000000e-04 eta: 3:04:22 time: 0.347281 data_time: 0.030576 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.930300 2023/08/09 23:50:22 - mmengine - INFO - Epoch(train) [114][180/327] lr: 5.000000e-04 eta: 3:04:19 time: 0.349568 data_time: 0.031300 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.890230 2023/08/09 23:50:25 - mmengine - INFO - Epoch(train) [114][190/327] lr: 5.000000e-04 eta: 3:04:15 time: 0.349127 data_time: 0.031277 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.945722 2023/08/09 23:50:29 - mmengine - INFO - Epoch(train) [114][200/327] lr: 5.000000e-04 eta: 3:04:12 time: 0.347770 data_time: 0.030923 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.857690 2023/08/09 23:50:32 - mmengine - INFO - Epoch(train) [114][210/327] lr: 5.000000e-04 eta: 3:04:08 time: 0.346998 data_time: 0.031259 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.952759 2023/08/09 23:50:36 - mmengine - INFO - Epoch(train) [114][220/327] lr: 5.000000e-04 eta: 3:04:05 time: 0.354411 data_time: 0.031851 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.892514 2023/08/09 23:50:39 - mmengine - INFO - Epoch(train) [114][230/327] lr: 5.000000e-04 eta: 3:04:01 time: 0.351056 data_time: 0.031035 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.924963 2023/08/09 23:50:43 - mmengine - INFO - Epoch(train) [114][240/327] lr: 5.000000e-04 eta: 3:03:58 time: 0.352993 data_time: 0.034130 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.914368 2023/08/09 23:50:46 - mmengine - INFO - Epoch(train) [114][250/327] lr: 5.000000e-04 eta: 3:03:54 time: 0.353124 data_time: 0.034834 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.846249 2023/08/09 23:50:50 - mmengine - INFO - Epoch(train) [114][260/327] lr: 5.000000e-04 eta: 3:03:51 time: 0.351554 data_time: 0.034997 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.948216 2023/08/09 23:50:53 - mmengine - INFO - Epoch(train) [114][270/327] lr: 5.000000e-04 eta: 3:03:47 time: 0.343751 data_time: 0.034564 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.858815 2023/08/09 23:50:57 - mmengine - INFO - Epoch(train) [114][280/327] lr: 5.000000e-04 eta: 3:03:43 time: 0.347008 data_time: 0.034698 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.972222 2023/08/09 23:51:00 - mmengine - INFO - Epoch(train) [114][290/327] lr: 5.000000e-04 eta: 3:03:40 time: 0.344873 data_time: 0.031783 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.906462 2023/08/09 23:51:04 - mmengine - INFO - Epoch(train) [114][300/327] lr: 5.000000e-04 eta: 3:03:36 time: 0.345590 data_time: 0.031160 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.931900 2023/08/09 23:51:07 - mmengine - INFO - Epoch(train) [114][310/327] lr: 5.000000e-04 eta: 3:03:33 time: 0.354780 data_time: 0.030698 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.866518 2023/08/09 23:51:11 - mmengine - INFO - Epoch(train) [114][320/327] lr: 5.000000e-04 eta: 3:03:30 time: 0.363119 data_time: 0.030555 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.896542 2023/08/09 23:51:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:51:18 - mmengine - INFO - Epoch(train) [115][ 10/327] lr: 5.000000e-04 eta: 3:03:24 time: 0.371527 data_time: 0.034067 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.837903 2023/08/09 23:51:21 - mmengine - INFO - Epoch(train) [115][ 20/327] lr: 5.000000e-04 eta: 3:03:21 time: 0.371941 data_time: 0.033990 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.931837 2023/08/09 23:51:25 - mmengine - INFO - Epoch(train) [115][ 30/327] lr: 5.000000e-04 eta: 3:03:17 time: 0.366645 data_time: 0.034119 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.872612 2023/08/09 23:51:28 - mmengine - INFO - Epoch(train) [115][ 40/327] lr: 5.000000e-04 eta: 3:03:14 time: 0.356873 data_time: 0.034288 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.957738 2023/08/09 23:51:31 - mmengine - INFO - Epoch(train) [115][ 50/327] lr: 5.000000e-04 eta: 3:03:10 time: 0.348481 data_time: 0.034906 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.887853 2023/08/09 23:51:35 - mmengine - INFO - Epoch(train) [115][ 60/327] lr: 5.000000e-04 eta: 3:03:06 time: 0.341068 data_time: 0.030976 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.888752 2023/08/09 23:51:38 - mmengine - INFO - Epoch(train) [115][ 70/327] lr: 5.000000e-04 eta: 3:03:03 time: 0.337111 data_time: 0.030716 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.912213 2023/08/09 23:51:41 - mmengine - INFO - Epoch(train) [115][ 80/327] lr: 5.000000e-04 eta: 3:02:59 time: 0.334525 data_time: 0.030592 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.913690 2023/08/09 23:51:45 - mmengine - INFO - Epoch(train) [115][ 90/327] lr: 5.000000e-04 eta: 3:02:56 time: 0.337361 data_time: 0.031083 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.905952 2023/08/09 23:51:48 - mmengine - INFO - Epoch(train) [115][100/327] lr: 5.000000e-04 eta: 3:02:52 time: 0.339764 data_time: 0.031083 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.929187 2023/08/09 23:51:52 - mmengine - INFO - Epoch(train) [115][110/327] lr: 5.000000e-04 eta: 3:02:48 time: 0.338343 data_time: 0.030747 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.946958 2023/08/09 23:51:55 - mmengine - INFO - Epoch(train) [115][120/327] lr: 5.000000e-04 eta: 3:02:45 time: 0.338483 data_time: 0.030700 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.921004 2023/08/09 23:51:58 - mmengine - INFO - Epoch(train) [115][130/327] lr: 5.000000e-04 eta: 3:02:41 time: 0.341384 data_time: 0.033679 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.884256 2023/08/09 23:52:02 - mmengine - INFO - Epoch(train) [115][140/327] lr: 5.000000e-04 eta: 3:02:38 time: 0.340526 data_time: 0.033223 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.916342 2023/08/09 23:52:05 - mmengine - INFO - Epoch(train) [115][150/327] lr: 5.000000e-04 eta: 3:02:34 time: 0.342300 data_time: 0.033273 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.947044 2023/08/09 23:52:09 - mmengine - INFO - Epoch(train) [115][160/327] lr: 5.000000e-04 eta: 3:02:31 time: 0.344204 data_time: 0.033787 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.967456 2023/08/09 23:52:12 - mmengine - INFO - Epoch(train) [115][170/327] lr: 5.000000e-04 eta: 3:02:27 time: 0.345699 data_time: 0.033968 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.928205 2023/08/09 23:52:16 - mmengine - INFO - Epoch(train) [115][180/327] lr: 5.000000e-04 eta: 3:02:23 time: 0.342419 data_time: 0.031021 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.926536 2023/08/09 23:52:19 - mmengine - INFO - Epoch(train) [115][190/327] lr: 5.000000e-04 eta: 3:02:20 time: 0.339612 data_time: 0.030922 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.910632 2023/08/09 23:52:22 - mmengine - INFO - Epoch(train) [115][200/327] lr: 5.000000e-04 eta: 3:02:16 time: 0.334780 data_time: 0.030722 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.901550 2023/08/09 23:52:25 - mmengine - INFO - Epoch(train) [115][210/327] lr: 5.000000e-04 eta: 3:02:12 time: 0.332483 data_time: 0.030051 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.899802 2023/08/09 23:52:29 - mmengine - INFO - Epoch(train) [115][220/327] lr: 5.000000e-04 eta: 3:02:09 time: 0.332461 data_time: 0.030038 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.885160 2023/08/09 23:52:32 - mmengine - INFO - Epoch(train) [115][230/327] lr: 5.000000e-04 eta: 3:02:05 time: 0.333612 data_time: 0.030348 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.976042 2023/08/09 23:52:36 - mmengine - INFO - Epoch(train) [115][240/327] lr: 5.000000e-04 eta: 3:02:02 time: 0.340591 data_time: 0.030487 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.923563 2023/08/09 23:52:39 - mmengine - INFO - Epoch(train) [115][250/327] lr: 5.000000e-04 eta: 3:01:58 time: 0.343927 data_time: 0.030750 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.948392 2023/08/09 23:52:43 - mmengine - INFO - Epoch(train) [115][260/327] lr: 5.000000e-04 eta: 3:01:55 time: 0.345714 data_time: 0.031227 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.915476 2023/08/09 23:52:46 - mmengine - INFO - Epoch(train) [115][270/327] lr: 5.000000e-04 eta: 3:01:51 time: 0.345968 data_time: 0.031732 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.925163 2023/08/09 23:52:49 - mmengine - INFO - Epoch(train) [115][280/327] lr: 5.000000e-04 eta: 3:01:47 time: 0.345287 data_time: 0.031516 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.852751 2023/08/09 23:52:53 - mmengine - INFO - Epoch(train) [115][290/327] lr: 5.000000e-04 eta: 3:01:44 time: 0.339974 data_time: 0.031536 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.863793 2023/08/09 23:52:56 - mmengine - INFO - Epoch(train) [115][300/327] lr: 5.000000e-04 eta: 3:01:40 time: 0.342534 data_time: 0.031496 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.898235 2023/08/09 23:53:00 - mmengine - INFO - Epoch(train) [115][310/327] lr: 5.000000e-04 eta: 3:01:37 time: 0.342266 data_time: 0.031595 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.956732 2023/08/09 23:53:03 - mmengine - INFO - Epoch(train) [115][320/327] lr: 5.000000e-04 eta: 3:01:33 time: 0.343083 data_time: 0.031352 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.938116 2023/08/09 23:53:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:53:09 - mmengine - INFO - Epoch(train) [116][ 10/327] lr: 5.000000e-04 eta: 3:01:27 time: 0.346580 data_time: 0.034839 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.821429 2023/08/09 23:53:13 - mmengine - INFO - Epoch(train) [116][ 20/327] lr: 5.000000e-04 eta: 3:01:24 time: 0.347015 data_time: 0.034557 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.983046 2023/08/09 23:53:16 - mmengine - INFO - Epoch(train) [116][ 30/327] lr: 5.000000e-04 eta: 3:01:20 time: 0.345129 data_time: 0.034257 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.875769 2023/08/09 23:53:20 - mmengine - INFO - Epoch(train) [116][ 40/327] lr: 5.000000e-04 eta: 3:01:16 time: 0.345725 data_time: 0.033852 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.914335 2023/08/09 23:53:23 - mmengine - INFO - Epoch(train) [116][ 50/327] lr: 5.000000e-04 eta: 3:01:13 time: 0.348855 data_time: 0.034459 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.837632 2023/08/09 23:53:27 - mmengine - INFO - Epoch(train) [116][ 60/327] lr: 5.000000e-04 eta: 3:01:09 time: 0.346855 data_time: 0.030494 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.958205 2023/08/09 23:53:30 - mmengine - INFO - Epoch(train) [116][ 70/327] lr: 5.000000e-04 eta: 3:01:06 time: 0.346556 data_time: 0.030618 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.842450 2023/08/09 23:53:34 - mmengine - INFO - Epoch(train) [116][ 80/327] lr: 5.000000e-04 eta: 3:01:02 time: 0.348536 data_time: 0.030319 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.926225 2023/08/09 23:53:37 - mmengine - INFO - Epoch(train) [116][ 90/327] lr: 5.000000e-04 eta: 3:00:59 time: 0.347393 data_time: 0.030501 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.859467 2023/08/09 23:53:40 - mmengine - INFO - Epoch(train) [116][100/327] lr: 5.000000e-04 eta: 3:00:55 time: 0.346690 data_time: 0.030144 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.881034 2023/08/09 23:53:44 - mmengine - INFO - Epoch(train) [116][110/327] lr: 5.000000e-04 eta: 3:00:52 time: 0.346223 data_time: 0.030462 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.930070 2023/08/09 23:53:47 - mmengine - INFO - Epoch(train) [116][120/327] lr: 5.000000e-04 eta: 3:00:48 time: 0.347331 data_time: 0.030896 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.850826 2023/08/09 23:53:51 - mmengine - INFO - Epoch(train) [116][130/327] lr: 5.000000e-04 eta: 3:00:45 time: 0.349280 data_time: 0.031275 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.925749 2023/08/09 23:53:54 - mmengine - INFO - Epoch(train) [116][140/327] lr: 5.000000e-04 eta: 3:00:41 time: 0.348541 data_time: 0.030952 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.949256 2023/08/09 23:53:58 - mmengine - INFO - Epoch(train) [116][150/327] lr: 5.000000e-04 eta: 3:00:38 time: 0.348593 data_time: 0.031220 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.947927 2023/08/09 23:54:01 - mmengine - INFO - Epoch(train) [116][160/327] lr: 5.000000e-04 eta: 3:00:34 time: 0.346554 data_time: 0.030866 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.907184 2023/08/09 23:54:05 - mmengine - INFO - Epoch(train) [116][170/327] lr: 5.000000e-04 eta: 3:00:30 time: 0.345314 data_time: 0.030650 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.895544 2023/08/09 23:54:08 - mmengine - INFO - Epoch(train) [116][180/327] lr: 5.000000e-04 eta: 3:00:27 time: 0.345989 data_time: 0.031047 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.913896 2023/08/09 23:54:12 - mmengine - INFO - Epoch(train) [116][190/327] lr: 5.000000e-04 eta: 3:00:24 time: 0.347566 data_time: 0.031092 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.868409 2023/08/09 23:54:15 - mmengine - INFO - Epoch(train) [116][200/327] lr: 5.000000e-04 eta: 3:00:20 time: 0.348230 data_time: 0.031137 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.845145 2023/08/09 23:54:19 - mmengine - INFO - Epoch(train) [116][210/327] lr: 5.000000e-04 eta: 3:00:16 time: 0.349979 data_time: 0.031169 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.895874 2023/08/09 23:54:22 - mmengine - INFO - Epoch(train) [116][220/327] lr: 5.000000e-04 eta: 3:00:13 time: 0.348949 data_time: 0.031095 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.907908 2023/08/09 23:54:26 - mmengine - INFO - Epoch(train) [116][230/327] lr: 5.000000e-04 eta: 3:00:09 time: 0.343951 data_time: 0.030449 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.918249 2023/08/09 23:54:29 - mmengine - INFO - Epoch(train) [116][240/327] lr: 5.000000e-04 eta: 3:00:06 time: 0.344716 data_time: 0.030894 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.939347 2023/08/09 23:54:33 - mmengine - INFO - Epoch(train) [116][250/327] lr: 5.000000e-04 eta: 3:00:02 time: 0.347152 data_time: 0.031202 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.902333 2023/08/09 23:54:36 - mmengine - INFO - Epoch(train) [116][260/327] lr: 5.000000e-04 eta: 2:59:59 time: 0.346371 data_time: 0.031355 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.924388 2023/08/09 23:54:40 - mmengine - INFO - Epoch(train) [116][270/327] lr: 5.000000e-04 eta: 2:59:55 time: 0.347811 data_time: 0.031284 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.949946 2023/08/09 23:54:43 - mmengine - INFO - Epoch(train) [116][280/327] lr: 5.000000e-04 eta: 2:59:52 time: 0.350844 data_time: 0.034475 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.969146 2023/08/09 23:54:47 - mmengine - INFO - Epoch(train) [116][290/327] lr: 5.000000e-04 eta: 2:59:48 time: 0.352969 data_time: 0.034209 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.926018 2023/08/09 23:54:50 - mmengine - INFO - Epoch(train) [116][300/327] lr: 5.000000e-04 eta: 2:59:45 time: 0.357694 data_time: 0.034455 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.965209 2023/08/09 23:54:54 - mmengine - INFO - Epoch(train) [116][310/327] lr: 5.000000e-04 eta: 2:59:41 time: 0.356779 data_time: 0.034330 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.908041 2023/08/09 23:54:57 - mmengine - INFO - Epoch(train) [116][320/327] lr: 5.000000e-04 eta: 2:59:38 time: 0.356171 data_time: 0.034556 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.918011 2023/08/09 23:55:00 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:55:03 - mmengine - INFO - Epoch(train) [117][ 10/327] lr: 5.000000e-04 eta: 2:59:32 time: 0.357336 data_time: 0.035192 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.901034 2023/08/09 23:55:07 - mmengine - INFO - Epoch(train) [117][ 20/327] lr: 5.000000e-04 eta: 2:59:28 time: 0.347802 data_time: 0.034905 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.817960 2023/08/09 23:55:10 - mmengine - INFO - Epoch(train) [117][ 30/327] lr: 5.000000e-04 eta: 2:59:25 time: 0.346932 data_time: 0.034465 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.861885 2023/08/09 23:55:14 - mmengine - INFO - Epoch(train) [117][ 40/327] lr: 5.000000e-04 eta: 2:59:21 time: 0.350160 data_time: 0.034048 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.899751 2023/08/09 23:55:17 - mmengine - INFO - Epoch(train) [117][ 50/327] lr: 5.000000e-04 eta: 2:59:18 time: 0.353039 data_time: 0.035102 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.946861 2023/08/09 23:55:21 - mmengine - INFO - Epoch(train) [117][ 60/327] lr: 5.000000e-04 eta: 2:59:15 time: 0.353024 data_time: 0.031430 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.871854 2023/08/09 23:55:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:55:25 - mmengine - INFO - Epoch(train) [117][ 70/327] lr: 5.000000e-04 eta: 2:59:11 time: 0.358428 data_time: 0.031982 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.920567 2023/08/09 23:55:29 - mmengine - INFO - Epoch(train) [117][ 80/327] lr: 5.000000e-04 eta: 2:59:08 time: 0.365770 data_time: 0.032666 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.905619 2023/08/09 23:55:32 - mmengine - INFO - Epoch(train) [117][ 90/327] lr: 5.000000e-04 eta: 2:59:05 time: 0.370326 data_time: 0.033169 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.799946 2023/08/09 23:55:36 - mmengine - INFO - Epoch(train) [117][100/327] lr: 5.000000e-04 eta: 2:59:01 time: 0.376913 data_time: 0.033402 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.909722 2023/08/09 23:55:40 - mmengine - INFO - Epoch(train) [117][110/327] lr: 5.000000e-04 eta: 2:58:58 time: 0.373404 data_time: 0.032520 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.965517 2023/08/09 23:55:43 - mmengine - INFO - Epoch(train) [117][120/327] lr: 5.000000e-04 eta: 2:58:55 time: 0.370721 data_time: 0.032125 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.879038 2023/08/09 23:55:47 - mmengine - INFO - Epoch(train) [117][130/327] lr: 5.000000e-04 eta: 2:58:51 time: 0.364311 data_time: 0.032332 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.906511 2023/08/09 23:55:50 - mmengine - INFO - Epoch(train) [117][140/327] lr: 5.000000e-04 eta: 2:58:47 time: 0.357297 data_time: 0.032328 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.958333 2023/08/09 23:55:54 - mmengine - INFO - Epoch(train) [117][150/327] lr: 5.000000e-04 eta: 2:58:44 time: 0.350226 data_time: 0.031988 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.848378 2023/08/09 23:55:57 - mmengine - INFO - Epoch(train) [117][160/327] lr: 5.000000e-04 eta: 2:58:40 time: 0.348878 data_time: 0.032164 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.877315 2023/08/09 23:56:01 - mmengine - INFO - Epoch(train) [117][170/327] lr: 5.000000e-04 eta: 2:58:37 time: 0.345945 data_time: 0.031925 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.879406 2023/08/09 23:56:04 - mmengine - INFO - Epoch(train) [117][180/327] lr: 5.000000e-04 eta: 2:58:33 time: 0.345729 data_time: 0.031027 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.948398 2023/08/09 23:56:08 - mmengine - INFO - Epoch(train) [117][190/327] lr: 5.000000e-04 eta: 2:58:30 time: 0.345447 data_time: 0.030802 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.891071 2023/08/09 23:56:11 - mmengine - INFO - Epoch(train) [117][200/327] lr: 5.000000e-04 eta: 2:58:26 time: 0.347653 data_time: 0.031305 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.916590 2023/08/09 23:56:15 - mmengine - INFO - Epoch(train) [117][210/327] lr: 5.000000e-04 eta: 2:58:23 time: 0.347168 data_time: 0.031322 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.922660 2023/08/09 23:56:18 - mmengine - INFO - Epoch(train) [117][220/327] lr: 5.000000e-04 eta: 2:58:19 time: 0.347443 data_time: 0.031331 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.919643 2023/08/09 23:56:21 - mmengine - INFO - Epoch(train) [117][230/327] lr: 5.000000e-04 eta: 2:58:16 time: 0.345236 data_time: 0.031359 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.871162 2023/08/09 23:56:25 - mmengine - INFO - Epoch(train) [117][240/327] lr: 5.000000e-04 eta: 2:58:12 time: 0.352687 data_time: 0.031348 memory: 4563 loss: 0.000662 loss_kpt: 0.000662 acc_pose: 0.933027 2023/08/09 23:56:29 - mmengine - INFO - Epoch(train) [117][250/327] lr: 5.000000e-04 eta: 2:58:09 time: 0.352085 data_time: 0.031322 memory: 4563 loss: 0.000665 loss_kpt: 0.000665 acc_pose: 0.924370 2023/08/09 23:56:32 - mmengine - INFO - Epoch(train) [117][260/327] lr: 5.000000e-04 eta: 2:58:05 time: 0.355078 data_time: 0.031710 memory: 4563 loss: 0.000655 loss_kpt: 0.000655 acc_pose: 0.934121 2023/08/09 23:56:36 - mmengine - INFO - Epoch(train) [117][270/327] lr: 5.000000e-04 eta: 2:58:02 time: 0.356675 data_time: 0.031906 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.927249 2023/08/09 23:56:39 - mmengine - INFO - Epoch(train) [117][280/327] lr: 5.000000e-04 eta: 2:57:58 time: 0.359509 data_time: 0.032333 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.852217 2023/08/09 23:56:43 - mmengine - INFO - Epoch(train) [117][290/327] lr: 5.000000e-04 eta: 2:57:55 time: 0.351196 data_time: 0.032187 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.905626 2023/08/09 23:56:46 - mmengine - INFO - Epoch(train) [117][300/327] lr: 5.000000e-04 eta: 2:57:51 time: 0.348403 data_time: 0.031519 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.919882 2023/08/09 23:56:50 - mmengine - INFO - Epoch(train) [117][310/327] lr: 5.000000e-04 eta: 2:57:48 time: 0.344311 data_time: 0.030884 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.919321 2023/08/09 23:56:53 - mmengine - INFO - Epoch(train) [117][320/327] lr: 5.000000e-04 eta: 2:57:44 time: 0.343256 data_time: 0.030733 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.895274 2023/08/09 23:56:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:56:59 - mmengine - INFO - Epoch(train) [118][ 10/327] lr: 5.000000e-04 eta: 2:57:38 time: 0.345238 data_time: 0.033536 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.868361 2023/08/09 23:57:02 - mmengine - INFO - Epoch(train) [118][ 20/327] lr: 5.000000e-04 eta: 2:57:35 time: 0.346119 data_time: 0.033720 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.950193 2023/08/09 23:57:06 - mmengine - INFO - Epoch(train) [118][ 30/327] lr: 5.000000e-04 eta: 2:57:31 time: 0.347733 data_time: 0.033803 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.873029 2023/08/09 23:57:09 - mmengine - INFO - Epoch(train) [118][ 40/327] lr: 5.000000e-04 eta: 2:57:27 time: 0.346622 data_time: 0.033416 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.881597 2023/08/09 23:57:13 - mmengine - INFO - Epoch(train) [118][ 50/327] lr: 5.000000e-04 eta: 2:57:24 time: 0.348405 data_time: 0.034132 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.796274 2023/08/09 23:57:16 - mmengine - INFO - Epoch(train) [118][ 60/327] lr: 5.000000e-04 eta: 2:57:20 time: 0.342224 data_time: 0.030256 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.957451 2023/08/09 23:57:20 - mmengine - INFO - Epoch(train) [118][ 70/327] lr: 5.000000e-04 eta: 2:57:17 time: 0.345281 data_time: 0.030346 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.881742 2023/08/09 23:57:23 - mmengine - INFO - Epoch(train) [118][ 80/327] lr: 5.000000e-04 eta: 2:57:13 time: 0.344220 data_time: 0.030699 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.855967 2023/08/09 23:57:27 - mmengine - INFO - Epoch(train) [118][ 90/327] lr: 5.000000e-04 eta: 2:57:10 time: 0.347499 data_time: 0.031728 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.904990 2023/08/09 23:57:30 - mmengine - INFO - Epoch(train) [118][100/327] lr: 5.000000e-04 eta: 2:57:06 time: 0.348179 data_time: 0.032869 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.928195 2023/08/09 23:57:33 - mmengine - INFO - Epoch(train) [118][110/327] lr: 5.000000e-04 eta: 2:57:03 time: 0.347673 data_time: 0.033514 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.983046 2023/08/09 23:57:37 - mmengine - INFO - Epoch(train) [118][120/327] lr: 5.000000e-04 eta: 2:56:59 time: 0.348742 data_time: 0.034011 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.957163 2023/08/09 23:57:41 - mmengine - INFO - Epoch(train) [118][130/327] lr: 5.000000e-04 eta: 2:56:56 time: 0.347986 data_time: 0.033606 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.932821 2023/08/09 23:57:44 - mmengine - INFO - Epoch(train) [118][140/327] lr: 5.000000e-04 eta: 2:56:52 time: 0.349817 data_time: 0.033464 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.885977 2023/08/09 23:57:48 - mmengine - INFO - Epoch(train) [118][150/327] lr: 5.000000e-04 eta: 2:56:49 time: 0.349488 data_time: 0.032490 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.924425 2023/08/09 23:57:51 - mmengine - INFO - Epoch(train) [118][160/327] lr: 5.000000e-04 eta: 2:56:45 time: 0.350611 data_time: 0.032047 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.873632 2023/08/09 23:57:55 - mmengine - INFO - Epoch(train) [118][170/327] lr: 5.000000e-04 eta: 2:56:42 time: 0.348946 data_time: 0.031856 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.863157 2023/08/09 23:57:58 - mmengine - INFO - Epoch(train) [118][180/327] lr: 5.000000e-04 eta: 2:56:38 time: 0.349508 data_time: 0.032107 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.906900 2023/08/09 23:58:01 - mmengine - INFO - Epoch(train) [118][190/327] lr: 5.000000e-04 eta: 2:56:34 time: 0.345217 data_time: 0.031292 memory: 4563 loss: 0.000623 loss_kpt: 0.000623 acc_pose: 0.836382 2023/08/09 23:58:05 - mmengine - INFO - Epoch(train) [118][200/327] lr: 5.000000e-04 eta: 2:56:31 time: 0.345447 data_time: 0.031429 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.906034 2023/08/09 23:58:08 - mmengine - INFO - Epoch(train) [118][210/327] lr: 5.000000e-04 eta: 2:56:27 time: 0.345893 data_time: 0.031334 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.888178 2023/08/09 23:58:12 - mmengine - INFO - Epoch(train) [118][220/327] lr: 5.000000e-04 eta: 2:56:24 time: 0.342711 data_time: 0.030736 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.808241 2023/08/09 23:58:15 - mmengine - INFO - Epoch(train) [118][230/327] lr: 5.000000e-04 eta: 2:56:20 time: 0.343328 data_time: 0.030653 memory: 4563 loss: 0.000656 loss_kpt: 0.000656 acc_pose: 0.858547 2023/08/09 23:58:19 - mmengine - INFO - Epoch(train) [118][240/327] lr: 5.000000e-04 eta: 2:56:17 time: 0.343458 data_time: 0.030698 memory: 4563 loss: 0.000648 loss_kpt: 0.000648 acc_pose: 0.856695 2023/08/09 23:58:22 - mmengine - INFO - Epoch(train) [118][250/327] lr: 5.000000e-04 eta: 2:56:13 time: 0.345481 data_time: 0.030412 memory: 4563 loss: 0.000641 loss_kpt: 0.000641 acc_pose: 0.931839 2023/08/09 23:58:26 - mmengine - INFO - Epoch(train) [118][260/327] lr: 5.000000e-04 eta: 2:56:10 time: 0.343508 data_time: 0.030294 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.875576 2023/08/09 23:58:29 - mmengine - INFO - Epoch(train) [118][270/327] lr: 5.000000e-04 eta: 2:56:06 time: 0.349802 data_time: 0.030418 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.882742 2023/08/09 23:58:33 - mmengine - INFO - Epoch(train) [118][280/327] lr: 5.000000e-04 eta: 2:56:03 time: 0.355223 data_time: 0.030529 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.931034 2023/08/09 23:58:37 - mmengine - INFO - Epoch(train) [118][290/327] lr: 5.000000e-04 eta: 2:56:00 time: 0.366999 data_time: 0.030889 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.949138 2023/08/09 23:58:40 - mmengine - INFO - Epoch(train) [118][300/327] lr: 5.000000e-04 eta: 2:55:56 time: 0.365326 data_time: 0.031576 memory: 4563 loss: 0.000627 loss_kpt: 0.000627 acc_pose: 0.882275 2023/08/09 23:58:44 - mmengine - INFO - Epoch(train) [118][310/327] lr: 5.000000e-04 eta: 2:55:53 time: 0.365669 data_time: 0.031699 memory: 4563 loss: 0.000629 loss_kpt: 0.000629 acc_pose: 0.927249 2023/08/09 23:58:47 - mmengine - INFO - Epoch(train) [118][320/327] lr: 5.000000e-04 eta: 2:55:49 time: 0.360292 data_time: 0.031785 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.895123 2023/08/09 23:58:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/09 23:58:53 - mmengine - INFO - Epoch(train) [119][ 10/327] lr: 5.000000e-04 eta: 2:55:43 time: 0.350009 data_time: 0.034899 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.934409 2023/08/09 23:58:57 - mmengine - INFO - Epoch(train) [119][ 20/327] lr: 5.000000e-04 eta: 2:55:39 time: 0.343688 data_time: 0.034881 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.922044 2023/08/09 23:59:00 - mmengine - INFO - Epoch(train) [119][ 30/327] lr: 5.000000e-04 eta: 2:55:36 time: 0.342532 data_time: 0.034554 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.923761 2023/08/09 23:59:03 - mmengine - INFO - Epoch(train) [119][ 40/327] lr: 5.000000e-04 eta: 2:55:32 time: 0.342458 data_time: 0.035262 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.885292 2023/08/09 23:59:07 - mmengine - INFO - Epoch(train) [119][ 50/327] lr: 5.000000e-04 eta: 2:55:29 time: 0.343351 data_time: 0.035893 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.926918 2023/08/09 23:59:10 - mmengine - INFO - Epoch(train) [119][ 60/327] lr: 5.000000e-04 eta: 2:55:25 time: 0.338716 data_time: 0.031828 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.889905 2023/08/09 23:59:13 - mmengine - INFO - Epoch(train) [119][ 70/327] lr: 5.000000e-04 eta: 2:55:21 time: 0.336623 data_time: 0.031267 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.941283 2023/08/09 23:59:17 - mmengine - INFO - Epoch(train) [119][ 80/327] lr: 5.000000e-04 eta: 2:55:18 time: 0.343633 data_time: 0.031517 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.865774 2023/08/09 23:59:21 - mmengine - INFO - Epoch(train) [119][ 90/327] lr: 5.000000e-04 eta: 2:55:15 time: 0.343255 data_time: 0.030988 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.900061 2023/08/09 23:59:24 - mmengine - INFO - Epoch(train) [119][100/327] lr: 5.000000e-04 eta: 2:55:11 time: 0.345758 data_time: 0.030997 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.936462 2023/08/09 23:59:28 - mmengine - INFO - Epoch(train) [119][110/327] lr: 5.000000e-04 eta: 2:55:07 time: 0.348838 data_time: 0.031309 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.801622 2023/08/09 23:59:31 - mmengine - INFO - Epoch(train) [119][120/327] lr: 5.000000e-04 eta: 2:55:04 time: 0.351670 data_time: 0.031318 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.894302 2023/08/09 23:59:34 - mmengine - INFO - Epoch(train) [119][130/327] lr: 5.000000e-04 eta: 2:55:00 time: 0.343591 data_time: 0.030960 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.915956 2023/08/09 23:59:38 - mmengine - INFO - Epoch(train) [119][140/327] lr: 5.000000e-04 eta: 2:54:57 time: 0.345465 data_time: 0.033916 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.925749 2023/08/09 23:59:41 - mmengine - INFO - Epoch(train) [119][150/327] lr: 5.000000e-04 eta: 2:54:53 time: 0.341947 data_time: 0.034337 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.911200 2023/08/09 23:59:45 - mmengine - INFO - Epoch(train) [119][160/327] lr: 5.000000e-04 eta: 2:54:50 time: 0.343723 data_time: 0.034637 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.901391 2023/08/09 23:59:48 - mmengine - INFO - Epoch(train) [119][170/327] lr: 5.000000e-04 eta: 2:54:46 time: 0.342920 data_time: 0.034813 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.875880 2023/08/09 23:59:52 - mmengine - INFO - Epoch(train) [119][180/327] lr: 5.000000e-04 eta: 2:54:43 time: 0.344012 data_time: 0.035384 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.927904 2023/08/09 23:59:55 - mmengine - INFO - Epoch(train) [119][190/327] lr: 5.000000e-04 eta: 2:54:39 time: 0.339916 data_time: 0.031999 memory: 4563 loss: 0.000638 loss_kpt: 0.000638 acc_pose: 0.905398 2023/08/09 23:59:58 - mmengine - INFO - Epoch(train) [119][200/327] lr: 5.000000e-04 eta: 2:54:35 time: 0.338038 data_time: 0.031259 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.889497 2023/08/10 00:00:01 - mmengine - INFO - Epoch(train) [119][210/327] lr: 5.000000e-04 eta: 2:54:32 time: 0.334101 data_time: 0.030790 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.933259 2023/08/10 00:00:05 - mmengine - INFO - Epoch(train) [119][220/327] lr: 5.000000e-04 eta: 2:54:28 time: 0.334483 data_time: 0.030729 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.915230 2023/08/10 00:00:08 - mmengine - INFO - Epoch(train) [119][230/327] lr: 5.000000e-04 eta: 2:54:24 time: 0.335600 data_time: 0.030261 memory: 4563 loss: 0.000651 loss_kpt: 0.000651 acc_pose: 0.879808 2023/08/10 00:00:12 - mmengine - INFO - Epoch(train) [119][240/327] lr: 5.000000e-04 eta: 2:54:21 time: 0.339829 data_time: 0.030404 memory: 4563 loss: 0.000649 loss_kpt: 0.000649 acc_pose: 0.845763 2023/08/10 00:00:15 - mmengine - INFO - Epoch(train) [119][250/327] lr: 5.000000e-04 eta: 2:54:17 time: 0.342419 data_time: 0.031153 memory: 4563 loss: 0.000675 loss_kpt: 0.000675 acc_pose: 0.914655 2023/08/10 00:00:19 - mmengine - INFO - Epoch(train) [119][260/327] lr: 5.000000e-04 eta: 2:54:14 time: 0.346861 data_time: 0.031837 memory: 4563 loss: 0.000657 loss_kpt: 0.000657 acc_pose: 0.914786 2023/08/10 00:00:22 - mmengine - INFO - Epoch(train) [119][270/327] lr: 5.000000e-04 eta: 2:54:10 time: 0.347416 data_time: 0.031825 memory: 4563 loss: 0.000663 loss_kpt: 0.000663 acc_pose: 0.844787 2023/08/10 00:00:26 - mmengine - INFO - Epoch(train) [119][280/327] lr: 5.000000e-04 eta: 2:54:07 time: 0.345645 data_time: 0.032383 memory: 4563 loss: 0.000643 loss_kpt: 0.000643 acc_pose: 0.981764 2023/08/10 00:00:29 - mmengine - INFO - Epoch(train) [119][290/327] lr: 5.000000e-04 eta: 2:54:03 time: 0.346422 data_time: 0.032502 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.774528 2023/08/10 00:00:33 - mmengine - INFO - Epoch(train) [119][300/327] lr: 5.000000e-04 eta: 2:54:00 time: 0.350990 data_time: 0.032702 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.935484 2023/08/10 00:00:36 - mmengine - INFO - Epoch(train) [119][310/327] lr: 5.000000e-04 eta: 2:53:56 time: 0.347278 data_time: 0.032189 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.946648 2023/08/10 00:00:40 - mmengine - INFO - Epoch(train) [119][320/327] lr: 5.000000e-04 eta: 2:53:53 time: 0.351629 data_time: 0.032685 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.937477 2023/08/10 00:00:42 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:00:46 - mmengine - INFO - Epoch(train) [120][ 10/327] lr: 5.000000e-04 eta: 2:53:47 time: 0.352933 data_time: 0.035692 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.915269 2023/08/10 00:00:49 - mmengine - INFO - Epoch(train) [120][ 20/327] lr: 5.000000e-04 eta: 2:53:43 time: 0.350810 data_time: 0.038575 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.919755 2023/08/10 00:00:53 - mmengine - INFO - Epoch(train) [120][ 30/327] lr: 5.000000e-04 eta: 2:53:40 time: 0.347931 data_time: 0.038062 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.850570 2023/08/10 00:00:56 - mmengine - INFO - Epoch(train) [120][ 40/327] lr: 5.000000e-04 eta: 2:53:36 time: 0.347547 data_time: 0.037879 memory: 4563 loss: 0.000659 loss_kpt: 0.000659 acc_pose: 0.878090 2023/08/10 00:01:00 - mmengine - INFO - Epoch(train) [120][ 50/327] lr: 5.000000e-04 eta: 2:53:33 time: 0.351458 data_time: 0.038658 memory: 4563 loss: 0.000640 loss_kpt: 0.000640 acc_pose: 0.912762 2023/08/10 00:01:03 - mmengine - INFO - Epoch(train) [120][ 60/327] lr: 5.000000e-04 eta: 2:53:29 time: 0.350220 data_time: 0.034345 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.919775 2023/08/10 00:01:07 - mmengine - INFO - Epoch(train) [120][ 70/327] lr: 5.000000e-04 eta: 2:53:26 time: 0.347677 data_time: 0.030848 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.967994 2023/08/10 00:01:10 - mmengine - INFO - Epoch(train) [120][ 80/327] lr: 5.000000e-04 eta: 2:53:22 time: 0.346997 data_time: 0.030745 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.953630 2023/08/10 00:01:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:01:13 - mmengine - INFO - Epoch(train) [120][ 90/327] lr: 5.000000e-04 eta: 2:53:18 time: 0.340339 data_time: 0.030313 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.914497 2023/08/10 00:01:17 - mmengine - INFO - Epoch(train) [120][100/327] lr: 5.000000e-04 eta: 2:53:15 time: 0.336874 data_time: 0.029884 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.848077 2023/08/10 00:01:20 - mmengine - INFO - Epoch(train) [120][110/327] lr: 5.000000e-04 eta: 2:53:12 time: 0.344389 data_time: 0.030460 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.956281 2023/08/10 00:01:24 - mmengine - INFO - Epoch(train) [120][120/327] lr: 5.000000e-04 eta: 2:53:08 time: 0.346279 data_time: 0.030611 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.966630 2023/08/10 00:01:28 - mmengine - INFO - Epoch(train) [120][130/327] lr: 5.000000e-04 eta: 2:53:05 time: 0.357561 data_time: 0.030998 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.939594 2023/08/10 00:01:32 - mmengine - INFO - Epoch(train) [120][140/327] lr: 5.000000e-04 eta: 2:53:02 time: 0.369744 data_time: 0.034462 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.943548 2023/08/10 00:01:36 - mmengine - INFO - Epoch(train) [120][150/327] lr: 5.000000e-04 eta: 2:52:58 time: 0.377402 data_time: 0.035121 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.934140 2023/08/10 00:01:39 - mmengine - INFO - Epoch(train) [120][160/327] lr: 5.000000e-04 eta: 2:52:55 time: 0.367316 data_time: 0.034751 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.932643 2023/08/10 00:01:42 - mmengine - INFO - Epoch(train) [120][170/327] lr: 5.000000e-04 eta: 2:52:51 time: 0.367567 data_time: 0.034643 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.911900 2023/08/10 00:01:46 - mmengine - INFO - Epoch(train) [120][180/327] lr: 5.000000e-04 eta: 2:52:48 time: 0.358912 data_time: 0.034644 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.913444 2023/08/10 00:01:49 - mmengine - INFO - Epoch(train) [120][190/327] lr: 5.000000e-04 eta: 2:52:44 time: 0.351571 data_time: 0.031737 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.966073 2023/08/10 00:01:53 - mmengine - INFO - Epoch(train) [120][200/327] lr: 5.000000e-04 eta: 2:52:40 time: 0.342705 data_time: 0.031444 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.915564 2023/08/10 00:01:56 - mmengine - INFO - Epoch(train) [120][210/327] lr: 5.000000e-04 eta: 2:52:37 time: 0.341233 data_time: 0.031213 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.966071 2023/08/10 00:01:59 - mmengine - INFO - Epoch(train) [120][220/327] lr: 5.000000e-04 eta: 2:52:33 time: 0.340913 data_time: 0.031569 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.941241 2023/08/10 00:02:03 - mmengine - INFO - Epoch(train) [120][230/327] lr: 5.000000e-04 eta: 2:52:30 time: 0.338185 data_time: 0.031145 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.959625 2023/08/10 00:02:06 - mmengine - INFO - Epoch(train) [120][240/327] lr: 5.000000e-04 eta: 2:52:26 time: 0.335292 data_time: 0.031190 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.906842 2023/08/10 00:02:09 - mmengine - INFO - Epoch(train) [120][250/327] lr: 5.000000e-04 eta: 2:52:22 time: 0.336721 data_time: 0.031328 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.909346 2023/08/10 00:02:13 - mmengine - INFO - Epoch(train) [120][260/327] lr: 5.000000e-04 eta: 2:52:19 time: 0.339529 data_time: 0.032019 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.924838 2023/08/10 00:02:16 - mmengine - INFO - Epoch(train) [120][270/327] lr: 5.000000e-04 eta: 2:52:15 time: 0.337106 data_time: 0.031707 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.913661 2023/08/10 00:02:20 - mmengine - INFO - Epoch(train) [120][280/327] lr: 5.000000e-04 eta: 2:52:12 time: 0.337462 data_time: 0.031873 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.919194 2023/08/10 00:02:23 - mmengine - INFO - Epoch(train) [120][290/327] lr: 5.000000e-04 eta: 2:52:08 time: 0.338820 data_time: 0.031336 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.948851 2023/08/10 00:02:26 - mmengine - INFO - Epoch(train) [120][300/327] lr: 5.000000e-04 eta: 2:52:04 time: 0.338993 data_time: 0.031012 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.907143 2023/08/10 00:02:30 - mmengine - INFO - Epoch(train) [120][310/327] lr: 5.000000e-04 eta: 2:52:01 time: 0.338327 data_time: 0.030940 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.927056 2023/08/10 00:02:33 - mmengine - INFO - Epoch(train) [120][320/327] lr: 5.000000e-04 eta: 2:51:57 time: 0.341779 data_time: 0.031420 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.956876 2023/08/10 00:02:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:02:36 - mmengine - INFO - Saving checkpoint at 120 epochs 2023/08/10 00:02:41 - mmengine - INFO - Epoch(val) [120][10/79] eta: 0:00:14 time: 0.194617 data_time: 0.012454 memory: 4563 2023/08/10 00:02:43 - mmengine - INFO - Epoch(val) [120][20/79] eta: 0:00:11 time: 0.194402 data_time: 0.012336 memory: 1634 2023/08/10 00:02:45 - mmengine - INFO - Epoch(val) [120][30/79] eta: 0:00:09 time: 0.194418 data_time: 0.012383 memory: 1634 2023/08/10 00:02:47 - mmengine - INFO - Epoch(val) [120][40/79] eta: 0:00:07 time: 0.194573 data_time: 0.012475 memory: 1634 2023/08/10 00:02:49 - mmengine - INFO - Epoch(val) [120][50/79] eta: 0:00:05 time: 0.196845 data_time: 0.012785 memory: 1634 2023/08/10 00:02:51 - mmengine - INFO - Epoch(val) [120][60/79] eta: 0:00:03 time: 0.195101 data_time: 0.011136 memory: 1634 2023/08/10 00:02:53 - mmengine - INFO - Epoch(val) [120][70/79] eta: 0:00:01 time: 0.195279 data_time: 0.011140 memory: 1634 2023/08/10 00:02:55 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 00:02:55 - mmengine - INFO - Evaluating AUC... 2023/08/10 00:02:55 - mmengine - INFO - Evaluating EPE... 2023/08/10 00:02:55 - mmengine - INFO - Epoch(val) [120][79/79] PCK: 0.978178 AUC: 0.758052 EPE: 8.667785 data_time: 0.012018 time: 0.193885 2023/08/10 00:02:55 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_110.pth is removed 2023/08/10 00:02:57 - mmengine - INFO - The best checkpoint with 0.7581 AUC at 120 epoch is saved to best_AUC_epoch_120.pth. 2023/08/10 00:03:05 - mmengine - INFO - Epoch(train) [121][ 10/327] lr: 5.000000e-04 eta: 2:51:51 time: 0.347010 data_time: 0.035033 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.856062 2023/08/10 00:03:08 - mmengine - INFO - Epoch(train) [121][ 20/327] lr: 5.000000e-04 eta: 2:51:48 time: 0.343731 data_time: 0.035563 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.866667 2023/08/10 00:03:12 - mmengine - INFO - Epoch(train) [121][ 30/327] lr: 5.000000e-04 eta: 2:51:44 time: 0.346086 data_time: 0.035219 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.889881 2023/08/10 00:03:15 - mmengine - INFO - Epoch(train) [121][ 40/327] lr: 5.000000e-04 eta: 2:51:41 time: 0.347137 data_time: 0.035079 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.909034 2023/08/10 00:03:18 - mmengine - INFO - Epoch(train) [121][ 50/327] lr: 5.000000e-04 eta: 2:51:37 time: 0.347890 data_time: 0.036070 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.931490 2023/08/10 00:03:22 - mmengine - INFO - Epoch(train) [121][ 60/327] lr: 5.000000e-04 eta: 2:51:34 time: 0.345390 data_time: 0.032547 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.895307 2023/08/10 00:03:25 - mmengine - INFO - Epoch(train) [121][ 70/327] lr: 5.000000e-04 eta: 2:51:30 time: 0.346047 data_time: 0.032479 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.910338 2023/08/10 00:03:29 - mmengine - INFO - Epoch(train) [121][ 80/327] lr: 5.000000e-04 eta: 2:51:27 time: 0.345820 data_time: 0.032660 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.943280 2023/08/10 00:03:32 - mmengine - INFO - Epoch(train) [121][ 90/327] lr: 5.000000e-04 eta: 2:51:23 time: 0.343056 data_time: 0.032531 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.866392 2023/08/10 00:03:35 - mmengine - INFO - Epoch(train) [121][100/327] lr: 5.000000e-04 eta: 2:51:19 time: 0.340376 data_time: 0.031836 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.893750 2023/08/10 00:03:39 - mmengine - INFO - Epoch(train) [121][110/327] lr: 5.000000e-04 eta: 2:51:16 time: 0.338545 data_time: 0.031101 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.935245 2023/08/10 00:03:42 - mmengine - INFO - Epoch(train) [121][120/327] lr: 5.000000e-04 eta: 2:51:12 time: 0.337951 data_time: 0.030872 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.910880 2023/08/10 00:03:46 - mmengine - INFO - Epoch(train) [121][130/327] lr: 5.000000e-04 eta: 2:51:09 time: 0.337019 data_time: 0.030711 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.858335 2023/08/10 00:03:50 - mmengine - INFO - Epoch(train) [121][140/327] lr: 5.000000e-04 eta: 2:51:05 time: 0.347158 data_time: 0.030773 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.869010 2023/08/10 00:03:53 - mmengine - INFO - Epoch(train) [121][150/327] lr: 5.000000e-04 eta: 2:51:02 time: 0.347370 data_time: 0.030926 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.907703 2023/08/10 00:03:56 - mmengine - INFO - Epoch(train) [121][160/327] lr: 5.000000e-04 eta: 2:50:58 time: 0.346994 data_time: 0.030778 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.922065 2023/08/10 00:04:00 - mmengine - INFO - Epoch(train) [121][170/327] lr: 5.000000e-04 eta: 2:50:54 time: 0.346547 data_time: 0.030716 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.833218 2023/08/10 00:04:03 - mmengine - INFO - Epoch(train) [121][180/327] lr: 5.000000e-04 eta: 2:50:51 time: 0.345821 data_time: 0.030538 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.837042 2023/08/10 00:04:07 - mmengine - INFO - Epoch(train) [121][190/327] lr: 5.000000e-04 eta: 2:50:47 time: 0.341078 data_time: 0.034269 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.963839 2023/08/10 00:04:10 - mmengine - INFO - Epoch(train) [121][200/327] lr: 5.000000e-04 eta: 2:50:44 time: 0.341799 data_time: 0.034411 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.947759 2023/08/10 00:04:13 - mmengine - INFO - Epoch(train) [121][210/327] lr: 5.000000e-04 eta: 2:50:40 time: 0.343572 data_time: 0.034641 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.883507 2023/08/10 00:04:17 - mmengine - INFO - Epoch(train) [121][220/327] lr: 5.000000e-04 eta: 2:50:37 time: 0.343819 data_time: 0.034671 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.921182 2023/08/10 00:04:20 - mmengine - INFO - Epoch(train) [121][230/327] lr: 5.000000e-04 eta: 2:50:33 time: 0.344909 data_time: 0.034624 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.882847 2023/08/10 00:04:24 - mmengine - INFO - Epoch(train) [121][240/327] lr: 5.000000e-04 eta: 2:50:29 time: 0.339481 data_time: 0.030802 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.886182 2023/08/10 00:04:27 - mmengine - INFO - Epoch(train) [121][250/327] lr: 5.000000e-04 eta: 2:50:26 time: 0.340025 data_time: 0.030543 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.948481 2023/08/10 00:04:30 - mmengine - INFO - Epoch(train) [121][260/327] lr: 5.000000e-04 eta: 2:50:22 time: 0.339572 data_time: 0.030928 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.883751 2023/08/10 00:04:34 - mmengine - INFO - Epoch(train) [121][270/327] lr: 5.000000e-04 eta: 2:50:19 time: 0.341309 data_time: 0.030779 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.939943 2023/08/10 00:04:37 - mmengine - INFO - Epoch(train) [121][280/327] lr: 5.000000e-04 eta: 2:50:15 time: 0.342258 data_time: 0.030791 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.923123 2023/08/10 00:04:41 - mmengine - INFO - Epoch(train) [121][290/327] lr: 5.000000e-04 eta: 2:50:12 time: 0.347451 data_time: 0.030893 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.834669 2023/08/10 00:04:44 - mmengine - INFO - Epoch(train) [121][300/327] lr: 5.000000e-04 eta: 2:50:08 time: 0.345455 data_time: 0.030788 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.932124 2023/08/10 00:04:48 - mmengine - INFO - Epoch(train) [121][310/327] lr: 5.000000e-04 eta: 2:50:05 time: 0.344279 data_time: 0.030241 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.904782 2023/08/10 00:04:51 - mmengine - INFO - Epoch(train) [121][320/327] lr: 5.000000e-04 eta: 2:50:01 time: 0.343849 data_time: 0.030064 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.870392 2023/08/10 00:04:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:04:57 - mmengine - INFO - Epoch(train) [122][ 10/327] lr: 5.000000e-04 eta: 2:49:55 time: 0.342782 data_time: 0.033708 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.790288 2023/08/10 00:05:00 - mmengine - INFO - Epoch(train) [122][ 20/327] lr: 5.000000e-04 eta: 2:49:51 time: 0.342691 data_time: 0.033806 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.907165 2023/08/10 00:05:04 - mmengine - INFO - Epoch(train) [122][ 30/327] lr: 5.000000e-04 eta: 2:49:48 time: 0.349010 data_time: 0.034221 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.880026 2023/08/10 00:05:08 - mmengine - INFO - Epoch(train) [122][ 40/327] lr: 5.000000e-04 eta: 2:49:45 time: 0.356438 data_time: 0.037651 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.939220 2023/08/10 00:05:11 - mmengine - INFO - Epoch(train) [122][ 50/327] lr: 5.000000e-04 eta: 2:49:41 time: 0.359303 data_time: 0.038009 memory: 4563 loss: 0.000636 loss_kpt: 0.000636 acc_pose: 0.913027 2023/08/10 00:05:15 - mmengine - INFO - Epoch(train) [122][ 60/327] lr: 5.000000e-04 eta: 2:49:38 time: 0.353378 data_time: 0.034158 memory: 4563 loss: 0.000635 loss_kpt: 0.000635 acc_pose: 0.957288 2023/08/10 00:05:18 - mmengine - INFO - Epoch(train) [122][ 70/327] lr: 5.000000e-04 eta: 2:49:34 time: 0.360435 data_time: 0.035295 memory: 4563 loss: 0.000639 loss_kpt: 0.000639 acc_pose: 0.927793 2023/08/10 00:05:22 - mmengine - INFO - Epoch(train) [122][ 80/327] lr: 5.000000e-04 eta: 2:49:31 time: 0.355556 data_time: 0.035465 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.893027 2023/08/10 00:05:25 - mmengine - INFO - Epoch(train) [122][ 90/327] lr: 5.000000e-04 eta: 2:49:27 time: 0.347602 data_time: 0.032390 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.871429 2023/08/10 00:05:29 - mmengine - INFO - Epoch(train) [122][100/327] lr: 5.000000e-04 eta: 2:49:24 time: 0.346077 data_time: 0.032443 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.930357 2023/08/10 00:05:32 - mmengine - INFO - Epoch(train) [122][110/327] lr: 5.000000e-04 eta: 2:49:20 time: 0.344990 data_time: 0.032111 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.881283 2023/08/10 00:05:35 - mmengine - INFO - Epoch(train) [122][120/327] lr: 5.000000e-04 eta: 2:49:16 time: 0.336973 data_time: 0.030888 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.929116 2023/08/10 00:05:39 - mmengine - INFO - Epoch(train) [122][130/327] lr: 5.000000e-04 eta: 2:49:13 time: 0.335938 data_time: 0.030266 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.921785 2023/08/10 00:05:42 - mmengine - INFO - Epoch(train) [122][140/327] lr: 5.000000e-04 eta: 2:49:09 time: 0.335770 data_time: 0.030082 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.948276 2023/08/10 00:05:46 - mmengine - INFO - Epoch(train) [122][150/327] lr: 5.000000e-04 eta: 2:49:06 time: 0.337964 data_time: 0.030579 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.841667 2023/08/10 00:05:49 - mmengine - INFO - Epoch(train) [122][160/327] lr: 5.000000e-04 eta: 2:49:02 time: 0.337442 data_time: 0.030678 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.942436 2023/08/10 00:05:52 - mmengine - INFO - Epoch(train) [122][170/327] lr: 5.000000e-04 eta: 2:48:58 time: 0.340618 data_time: 0.030938 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.949638 2023/08/10 00:05:56 - mmengine - INFO - Epoch(train) [122][180/327] lr: 5.000000e-04 eta: 2:48:55 time: 0.340620 data_time: 0.030908 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.922352 2023/08/10 00:05:59 - mmengine - INFO - Epoch(train) [122][190/327] lr: 5.000000e-04 eta: 2:48:51 time: 0.340014 data_time: 0.030930 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.903193 2023/08/10 00:06:02 - mmengine - INFO - Epoch(train) [122][200/327] lr: 5.000000e-04 eta: 2:48:48 time: 0.338875 data_time: 0.030405 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.901341 2023/08/10 00:06:06 - mmengine - INFO - Epoch(train) [122][210/327] lr: 5.000000e-04 eta: 2:48:44 time: 0.341520 data_time: 0.030354 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.950538 2023/08/10 00:06:09 - mmengine - INFO - Epoch(train) [122][220/327] lr: 5.000000e-04 eta: 2:48:41 time: 0.340554 data_time: 0.030867 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.914474 2023/08/10 00:06:13 - mmengine - INFO - Epoch(train) [122][230/327] lr: 5.000000e-04 eta: 2:48:37 time: 0.342460 data_time: 0.031018 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.878257 2023/08/10 00:06:16 - mmengine - INFO - Epoch(train) [122][240/327] lr: 5.000000e-04 eta: 2:48:33 time: 0.341628 data_time: 0.030983 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.879762 2023/08/10 00:06:19 - mmengine - INFO - Epoch(train) [122][250/327] lr: 5.000000e-04 eta: 2:48:30 time: 0.340327 data_time: 0.030984 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.931576 2023/08/10 00:06:23 - mmengine - INFO - Epoch(train) [122][260/327] lr: 5.000000e-04 eta: 2:48:26 time: 0.338004 data_time: 0.031081 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.932393 2023/08/10 00:06:26 - mmengine - INFO - Epoch(train) [122][270/327] lr: 5.000000e-04 eta: 2:48:23 time: 0.338252 data_time: 0.033358 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.940621 2023/08/10 00:06:30 - mmengine - INFO - Epoch(train) [122][280/327] lr: 5.000000e-04 eta: 2:48:19 time: 0.336818 data_time: 0.033305 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.946281 2023/08/10 00:06:33 - mmengine - INFO - Epoch(train) [122][290/327] lr: 5.000000e-04 eta: 2:48:16 time: 0.344034 data_time: 0.033925 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.881194 2023/08/10 00:06:37 - mmengine - INFO - Epoch(train) [122][300/327] lr: 5.000000e-04 eta: 2:48:12 time: 0.345230 data_time: 0.034002 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.902635 2023/08/10 00:06:40 - mmengine - INFO - Epoch(train) [122][310/327] lr: 5.000000e-04 eta: 2:48:09 time: 0.349215 data_time: 0.034259 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.954673 2023/08/10 00:06:44 - mmengine - INFO - Epoch(train) [122][320/327] lr: 5.000000e-04 eta: 2:48:05 time: 0.346723 data_time: 0.031221 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.860844 2023/08/10 00:06:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:06:49 - mmengine - INFO - Epoch(train) [123][ 10/327] lr: 5.000000e-04 eta: 2:47:59 time: 0.342436 data_time: 0.034281 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.888754 2023/08/10 00:06:53 - mmengine - INFO - Epoch(train) [123][ 20/327] lr: 5.000000e-04 eta: 2:47:55 time: 0.340449 data_time: 0.033973 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.991071 2023/08/10 00:06:56 - mmengine - INFO - Epoch(train) [123][ 30/327] lr: 5.000000e-04 eta: 2:47:52 time: 0.338931 data_time: 0.033656 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.870857 2023/08/10 00:07:00 - mmengine - INFO - Epoch(train) [123][ 40/327] lr: 5.000000e-04 eta: 2:47:48 time: 0.341278 data_time: 0.033817 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.929286 2023/08/10 00:07:03 - mmengine - INFO - Epoch(train) [123][ 50/327] lr: 5.000000e-04 eta: 2:47:45 time: 0.347978 data_time: 0.034440 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.887295 2023/08/10 00:07:07 - mmengine - INFO - Epoch(train) [123][ 60/327] lr: 5.000000e-04 eta: 2:47:41 time: 0.344255 data_time: 0.030701 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.917994 2023/08/10 00:07:10 - mmengine - INFO - Epoch(train) [123][ 70/327] lr: 5.000000e-04 eta: 2:47:38 time: 0.345851 data_time: 0.031195 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.920213 2023/08/10 00:07:13 - mmengine - INFO - Epoch(train) [123][ 80/327] lr: 5.000000e-04 eta: 2:47:34 time: 0.341597 data_time: 0.031278 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.839943 2023/08/10 00:07:17 - mmengine - INFO - Epoch(train) [123][ 90/327] lr: 5.000000e-04 eta: 2:47:30 time: 0.339750 data_time: 0.031062 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.839815 2023/08/10 00:07:20 - mmengine - INFO - Epoch(train) [123][100/327] lr: 5.000000e-04 eta: 2:47:27 time: 0.335235 data_time: 0.030957 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.865639 2023/08/10 00:07:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:07:24 - mmengine - INFO - Epoch(train) [123][110/327] lr: 5.000000e-04 eta: 2:47:23 time: 0.338430 data_time: 0.030914 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.913485 2023/08/10 00:07:27 - mmengine - INFO - Epoch(train) [123][120/327] lr: 5.000000e-04 eta: 2:47:20 time: 0.339672 data_time: 0.030916 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.909259 2023/08/10 00:07:30 - mmengine - INFO - Epoch(train) [123][130/327] lr: 5.000000e-04 eta: 2:47:16 time: 0.340835 data_time: 0.030707 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.855823 2023/08/10 00:07:34 - mmengine - INFO - Epoch(train) [123][140/327] lr: 5.000000e-04 eta: 2:47:12 time: 0.341522 data_time: 0.030660 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.937111 2023/08/10 00:07:37 - mmengine - INFO - Epoch(train) [123][150/327] lr: 5.000000e-04 eta: 2:47:09 time: 0.340378 data_time: 0.030427 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.934308 2023/08/10 00:07:41 - mmengine - INFO - Epoch(train) [123][160/327] lr: 5.000000e-04 eta: 2:47:05 time: 0.338877 data_time: 0.030103 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.957184 2023/08/10 00:07:44 - mmengine - INFO - Epoch(train) [123][170/327] lr: 5.000000e-04 eta: 2:47:02 time: 0.337019 data_time: 0.029670 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.883461 2023/08/10 00:07:47 - mmengine - INFO - Epoch(train) [123][180/327] lr: 5.000000e-04 eta: 2:46:58 time: 0.337770 data_time: 0.030435 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.828512 2023/08/10 00:07:51 - mmengine - INFO - Epoch(train) [123][190/327] lr: 5.000000e-04 eta: 2:46:54 time: 0.338812 data_time: 0.030723 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.973810 2023/08/10 00:07:54 - mmengine - INFO - Epoch(train) [123][200/327] lr: 5.000000e-04 eta: 2:46:51 time: 0.338763 data_time: 0.030801 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.898563 2023/08/10 00:07:57 - mmengine - INFO - Epoch(train) [123][210/327] lr: 5.000000e-04 eta: 2:46:47 time: 0.336128 data_time: 0.030827 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.940786 2023/08/10 00:08:01 - mmengine - INFO - Epoch(train) [123][220/327] lr: 5.000000e-04 eta: 2:46:44 time: 0.339054 data_time: 0.030796 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.875902 2023/08/10 00:08:04 - mmengine - INFO - Epoch(train) [123][230/327] lr: 5.000000e-04 eta: 2:46:40 time: 0.338902 data_time: 0.030214 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.909704 2023/08/10 00:08:08 - mmengine - INFO - Epoch(train) [123][240/327] lr: 5.000000e-04 eta: 2:46:37 time: 0.341195 data_time: 0.030194 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.933044 2023/08/10 00:08:11 - mmengine - INFO - Epoch(train) [123][250/327] lr: 5.000000e-04 eta: 2:46:33 time: 0.343659 data_time: 0.030650 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.959140 2023/08/10 00:08:15 - mmengine - INFO - Epoch(train) [123][260/327] lr: 5.000000e-04 eta: 2:46:30 time: 0.346398 data_time: 0.031080 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.873278 2023/08/10 00:08:18 - mmengine - INFO - Epoch(train) [123][270/327] lr: 5.000000e-04 eta: 2:46:26 time: 0.345602 data_time: 0.034146 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.894693 2023/08/10 00:08:22 - mmengine - INFO - Epoch(train) [123][280/327] lr: 5.000000e-04 eta: 2:46:23 time: 0.347293 data_time: 0.033884 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.929696 2023/08/10 00:08:25 - mmengine - INFO - Epoch(train) [123][290/327] lr: 5.000000e-04 eta: 2:46:19 time: 0.343117 data_time: 0.033623 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.876860 2023/08/10 00:08:28 - mmengine - INFO - Epoch(train) [123][300/327] lr: 5.000000e-04 eta: 2:46:15 time: 0.340741 data_time: 0.033138 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.830182 2023/08/10 00:08:32 - mmengine - INFO - Epoch(train) [123][310/327] lr: 5.000000e-04 eta: 2:46:12 time: 0.338284 data_time: 0.032950 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.887245 2023/08/10 00:08:35 - mmengine - INFO - Epoch(train) [123][320/327] lr: 5.000000e-04 eta: 2:46:08 time: 0.337356 data_time: 0.030603 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.891287 2023/08/10 00:08:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:08:41 - mmengine - INFO - Epoch(train) [124][ 10/327] lr: 5.000000e-04 eta: 2:46:02 time: 0.338178 data_time: 0.034806 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.966900 2023/08/10 00:08:44 - mmengine - INFO - Epoch(train) [124][ 20/327] lr: 5.000000e-04 eta: 2:45:58 time: 0.337103 data_time: 0.034722 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.963599 2023/08/10 00:08:47 - mmengine - INFO - Epoch(train) [124][ 30/327] lr: 5.000000e-04 eta: 2:45:55 time: 0.335881 data_time: 0.034605 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.884409 2023/08/10 00:08:51 - mmengine - INFO - Epoch(train) [124][ 40/327] lr: 5.000000e-04 eta: 2:45:51 time: 0.333819 data_time: 0.033767 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.950749 2023/08/10 00:08:54 - mmengine - INFO - Epoch(train) [124][ 50/327] lr: 5.000000e-04 eta: 2:45:48 time: 0.339872 data_time: 0.034662 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.896640 2023/08/10 00:08:58 - mmengine - INFO - Epoch(train) [124][ 60/327] lr: 5.000000e-04 eta: 2:45:44 time: 0.338280 data_time: 0.030567 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.890480 2023/08/10 00:09:01 - mmengine - INFO - Epoch(train) [124][ 70/327] lr: 5.000000e-04 eta: 2:45:40 time: 0.339635 data_time: 0.030851 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.889113 2023/08/10 00:09:05 - mmengine - INFO - Epoch(train) [124][ 80/327] lr: 5.000000e-04 eta: 2:45:37 time: 0.347735 data_time: 0.034274 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.974713 2023/08/10 00:09:08 - mmengine - INFO - Epoch(train) [124][ 90/327] lr: 5.000000e-04 eta: 2:45:33 time: 0.347920 data_time: 0.034924 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.966799 2023/08/10 00:09:11 - mmengine - INFO - Epoch(train) [124][100/327] lr: 5.000000e-04 eta: 2:45:30 time: 0.342691 data_time: 0.035281 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.908259 2023/08/10 00:09:15 - mmengine - INFO - Epoch(train) [124][110/327] lr: 5.000000e-04 eta: 2:45:26 time: 0.339578 data_time: 0.035075 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.886839 2023/08/10 00:09:18 - mmengine - INFO - Epoch(train) [124][120/327] lr: 5.000000e-04 eta: 2:45:23 time: 0.341877 data_time: 0.035526 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.937051 2023/08/10 00:09:22 - mmengine - INFO - Epoch(train) [124][130/327] lr: 5.000000e-04 eta: 2:45:19 time: 0.337665 data_time: 0.032837 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.953704 2023/08/10 00:09:25 - mmengine - INFO - Epoch(train) [124][140/327] lr: 5.000000e-04 eta: 2:45:15 time: 0.337553 data_time: 0.032546 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.917923 2023/08/10 00:09:29 - mmengine - INFO - Epoch(train) [124][150/327] lr: 5.000000e-04 eta: 2:45:12 time: 0.341966 data_time: 0.032258 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.889540 2023/08/10 00:09:32 - mmengine - INFO - Epoch(train) [124][160/327] lr: 5.000000e-04 eta: 2:45:09 time: 0.351784 data_time: 0.031730 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.887869 2023/08/10 00:09:36 - mmengine - INFO - Epoch(train) [124][170/327] lr: 5.000000e-04 eta: 2:45:05 time: 0.358510 data_time: 0.031106 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.939879 2023/08/10 00:09:40 - mmengine - INFO - Epoch(train) [124][180/327] lr: 5.000000e-04 eta: 2:45:02 time: 0.365166 data_time: 0.030510 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.954034 2023/08/10 00:09:43 - mmengine - INFO - Epoch(train) [124][190/327] lr: 5.000000e-04 eta: 2:44:59 time: 0.366253 data_time: 0.030383 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.836824 2023/08/10 00:09:47 - mmengine - INFO - Epoch(train) [124][200/327] lr: 5.000000e-04 eta: 2:44:55 time: 0.365728 data_time: 0.030742 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.865233 2023/08/10 00:09:50 - mmengine - INFO - Epoch(train) [124][210/327] lr: 5.000000e-04 eta: 2:44:51 time: 0.357415 data_time: 0.031398 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.908751 2023/08/10 00:09:54 - mmengine - INFO - Epoch(train) [124][220/327] lr: 5.000000e-04 eta: 2:44:48 time: 0.347896 data_time: 0.031406 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.903257 2023/08/10 00:09:57 - mmengine - INFO - Epoch(train) [124][230/327] lr: 5.000000e-04 eta: 2:44:44 time: 0.341664 data_time: 0.031319 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.922143 2023/08/10 00:10:00 - mmengine - INFO - Epoch(train) [124][240/327] lr: 5.000000e-04 eta: 2:44:41 time: 0.339914 data_time: 0.031067 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.910992 2023/08/10 00:10:04 - mmengine - INFO - Epoch(train) [124][250/327] lr: 5.000000e-04 eta: 2:44:37 time: 0.335686 data_time: 0.030420 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.958565 2023/08/10 00:10:07 - mmengine - INFO - Epoch(train) [124][260/327] lr: 5.000000e-04 eta: 2:44:33 time: 0.335815 data_time: 0.029791 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.882792 2023/08/10 00:10:11 - mmengine - INFO - Epoch(train) [124][270/327] lr: 5.000000e-04 eta: 2:44:30 time: 0.341567 data_time: 0.030221 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.900751 2023/08/10 00:10:14 - mmengine - INFO - Epoch(train) [124][280/327] lr: 5.000000e-04 eta: 2:44:26 time: 0.339562 data_time: 0.030403 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.875426 2023/08/10 00:10:17 - mmengine - INFO - Epoch(train) [124][290/327] lr: 5.000000e-04 eta: 2:44:23 time: 0.340972 data_time: 0.031334 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.893997 2023/08/10 00:10:21 - mmengine - INFO - Epoch(train) [124][300/327] lr: 5.000000e-04 eta: 2:44:19 time: 0.341224 data_time: 0.032166 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.950000 2023/08/10 00:10:24 - mmengine - INFO - Epoch(train) [124][310/327] lr: 5.000000e-04 eta: 2:44:16 time: 0.341950 data_time: 0.035687 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.940923 2023/08/10 00:10:28 - mmengine - INFO - Epoch(train) [124][320/327] lr: 5.000000e-04 eta: 2:44:12 time: 0.337087 data_time: 0.036155 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.921123 2023/08/10 00:10:30 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:10:34 - mmengine - INFO - Epoch(train) [125][ 10/327] lr: 5.000000e-04 eta: 2:44:06 time: 0.343324 data_time: 0.039372 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.966917 2023/08/10 00:10:37 - mmengine - INFO - Epoch(train) [125][ 20/327] lr: 5.000000e-04 eta: 2:44:03 time: 0.346514 data_time: 0.038605 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.889932 2023/08/10 00:10:41 - mmengine - INFO - Epoch(train) [125][ 30/327] lr: 5.000000e-04 eta: 2:43:59 time: 0.355429 data_time: 0.035430 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.940497 2023/08/10 00:10:44 - mmengine - INFO - Epoch(train) [125][ 40/327] lr: 5.000000e-04 eta: 2:43:56 time: 0.356131 data_time: 0.034886 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.823565 2023/08/10 00:10:48 - mmengine - INFO - Epoch(train) [125][ 50/327] lr: 5.000000e-04 eta: 2:43:52 time: 0.359551 data_time: 0.035409 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.900988 2023/08/10 00:10:51 - mmengine - INFO - Epoch(train) [125][ 60/327] lr: 5.000000e-04 eta: 2:43:49 time: 0.353934 data_time: 0.030950 memory: 4563 loss: 0.000634 loss_kpt: 0.000634 acc_pose: 0.890344 2023/08/10 00:10:55 - mmengine - INFO - Epoch(train) [125][ 70/327] lr: 5.000000e-04 eta: 2:43:45 time: 0.351319 data_time: 0.031040 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.876140 2023/08/10 00:10:58 - mmengine - INFO - Epoch(train) [125][ 80/327] lr: 5.000000e-04 eta: 2:43:42 time: 0.343407 data_time: 0.030982 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.891878 2023/08/10 00:11:02 - mmengine - INFO - Epoch(train) [125][ 90/327] lr: 5.000000e-04 eta: 2:43:38 time: 0.346420 data_time: 0.030808 memory: 4563 loss: 0.000615 loss_kpt: 0.000615 acc_pose: 0.900077 2023/08/10 00:11:06 - mmengine - INFO - Epoch(train) [125][100/327] lr: 5.000000e-04 eta: 2:43:35 time: 0.353660 data_time: 0.031535 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.924623 2023/08/10 00:11:09 - mmengine - INFO - Epoch(train) [125][110/327] lr: 5.000000e-04 eta: 2:43:32 time: 0.361590 data_time: 0.031983 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.919597 2023/08/10 00:11:13 - mmengine - INFO - Epoch(train) [125][120/327] lr: 5.000000e-04 eta: 2:43:28 time: 0.370800 data_time: 0.032253 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.883889 2023/08/10 00:11:17 - mmengine - INFO - Epoch(train) [125][130/327] lr: 5.000000e-04 eta: 2:43:25 time: 0.377832 data_time: 0.032567 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.910394 2023/08/10 00:11:21 - mmengine - INFO - Epoch(train) [125][140/327] lr: 5.000000e-04 eta: 2:43:22 time: 0.384106 data_time: 0.033097 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.865838 2023/08/10 00:11:24 - mmengine - INFO - Epoch(train) [125][150/327] lr: 5.000000e-04 eta: 2:43:18 time: 0.374335 data_time: 0.032637 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.871787 2023/08/10 00:11:28 - mmengine - INFO - Epoch(train) [125][160/327] lr: 5.000000e-04 eta: 2:43:15 time: 0.367179 data_time: 0.032487 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.939640 2023/08/10 00:11:31 - mmengine - INFO - Epoch(train) [125][170/327] lr: 5.000000e-04 eta: 2:43:11 time: 0.358518 data_time: 0.032375 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.926509 2023/08/10 00:11:35 - mmengine - INFO - Epoch(train) [125][180/327] lr: 5.000000e-04 eta: 2:43:08 time: 0.348317 data_time: 0.031621 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.907217 2023/08/10 00:11:38 - mmengine - INFO - Epoch(train) [125][190/327] lr: 5.000000e-04 eta: 2:43:04 time: 0.338463 data_time: 0.030971 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.867075 2023/08/10 00:11:41 - mmengine - INFO - Epoch(train) [125][200/327] lr: 5.000000e-04 eta: 2:43:00 time: 0.340316 data_time: 0.030751 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.886679 2023/08/10 00:11:45 - mmengine - INFO - Epoch(train) [125][210/327] lr: 5.000000e-04 eta: 2:42:57 time: 0.338731 data_time: 0.030769 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.828411 2023/08/10 00:11:48 - mmengine - INFO - Epoch(train) [125][220/327] lr: 5.000000e-04 eta: 2:42:53 time: 0.338745 data_time: 0.030448 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.842766 2023/08/10 00:11:52 - mmengine - INFO - Epoch(train) [125][230/327] lr: 5.000000e-04 eta: 2:42:50 time: 0.340488 data_time: 0.030747 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.861717 2023/08/10 00:11:55 - mmengine - INFO - Epoch(train) [125][240/327] lr: 5.000000e-04 eta: 2:42:46 time: 0.340308 data_time: 0.030864 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.958027 2023/08/10 00:11:58 - mmengine - INFO - Epoch(train) [125][250/327] lr: 5.000000e-04 eta: 2:42:42 time: 0.338757 data_time: 0.030552 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.939306 2023/08/10 00:12:02 - mmengine - INFO - Epoch(train) [125][260/327] lr: 5.000000e-04 eta: 2:42:39 time: 0.337855 data_time: 0.030292 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.903769 2023/08/10 00:12:05 - mmengine - INFO - Epoch(train) [125][270/327] lr: 5.000000e-04 eta: 2:42:35 time: 0.336877 data_time: 0.030242 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.937533 2023/08/10 00:12:08 - mmengine - INFO - Epoch(train) [125][280/327] lr: 5.000000e-04 eta: 2:42:32 time: 0.334773 data_time: 0.030187 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.929187 2023/08/10 00:12:12 - mmengine - INFO - Epoch(train) [125][290/327] lr: 5.000000e-04 eta: 2:42:28 time: 0.345460 data_time: 0.030476 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.872970 2023/08/10 00:12:16 - mmengine - INFO - Epoch(train) [125][300/327] lr: 5.000000e-04 eta: 2:42:25 time: 0.346512 data_time: 0.030656 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.924000 2023/08/10 00:12:19 - mmengine - INFO - Epoch(train) [125][310/327] lr: 5.000000e-04 eta: 2:42:21 time: 0.346861 data_time: 0.030780 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.942742 2023/08/10 00:12:22 - mmengine - INFO - Epoch(train) [125][320/327] lr: 5.000000e-04 eta: 2:42:18 time: 0.350873 data_time: 0.031189 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.880747 2023/08/10 00:12:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:12:28 - mmengine - INFO - Epoch(train) [126][ 10/327] lr: 5.000000e-04 eta: 2:42:12 time: 0.347274 data_time: 0.033856 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.895073 2023/08/10 00:12:32 - mmengine - INFO - Epoch(train) [126][ 20/327] lr: 5.000000e-04 eta: 2:42:08 time: 0.345141 data_time: 0.034042 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.864695 2023/08/10 00:12:35 - mmengine - INFO - Epoch(train) [126][ 30/327] lr: 5.000000e-04 eta: 2:42:05 time: 0.349091 data_time: 0.037090 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.918635 2023/08/10 00:12:39 - mmengine - INFO - Epoch(train) [126][ 40/327] lr: 5.000000e-04 eta: 2:42:01 time: 0.348339 data_time: 0.037293 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.912614 2023/08/10 00:12:42 - mmengine - INFO - Epoch(train) [126][ 50/327] lr: 5.000000e-04 eta: 2:41:58 time: 0.348815 data_time: 0.038543 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.894663 2023/08/10 00:12:46 - mmengine - INFO - Epoch(train) [126][ 60/327] lr: 5.000000e-04 eta: 2:41:54 time: 0.343694 data_time: 0.034421 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.874558 2023/08/10 00:12:49 - mmengine - INFO - Epoch(train) [126][ 70/327] lr: 5.000000e-04 eta: 2:41:50 time: 0.341679 data_time: 0.034575 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.881123 2023/08/10 00:12:52 - mmengine - INFO - Epoch(train) [126][ 80/327] lr: 5.000000e-04 eta: 2:41:47 time: 0.335497 data_time: 0.031383 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.956897 2023/08/10 00:12:56 - mmengine - INFO - Epoch(train) [126][ 90/327] lr: 5.000000e-04 eta: 2:41:43 time: 0.333224 data_time: 0.030847 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.906511 2023/08/10 00:12:59 - mmengine - INFO - Epoch(train) [126][100/327] lr: 5.000000e-04 eta: 2:41:40 time: 0.336716 data_time: 0.031097 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.897701 2023/08/10 00:13:03 - mmengine - INFO - Epoch(train) [126][110/327] lr: 5.000000e-04 eta: 2:41:36 time: 0.339892 data_time: 0.031259 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.897321 2023/08/10 00:13:06 - mmengine - INFO - Epoch(train) [126][120/327] lr: 5.000000e-04 eta: 2:41:33 time: 0.342366 data_time: 0.030924 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.837963 2023/08/10 00:13:08 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:13:09 - mmengine - INFO - Epoch(train) [126][130/327] lr: 5.000000e-04 eta: 2:41:29 time: 0.343456 data_time: 0.030977 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.930031 2023/08/10 00:13:13 - mmengine - INFO - Epoch(train) [126][140/327] lr: 5.000000e-04 eta: 2:41:25 time: 0.343102 data_time: 0.030813 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.944775 2023/08/10 00:13:16 - mmengine - INFO - Epoch(train) [126][150/327] lr: 5.000000e-04 eta: 2:41:22 time: 0.339676 data_time: 0.030276 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.930686 2023/08/10 00:13:20 - mmengine - INFO - Epoch(train) [126][160/327] lr: 5.000000e-04 eta: 2:41:18 time: 0.341145 data_time: 0.030323 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.885112 2023/08/10 00:13:23 - mmengine - INFO - Epoch(train) [126][170/327] lr: 5.000000e-04 eta: 2:41:15 time: 0.344785 data_time: 0.030783 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.949981 2023/08/10 00:13:27 - mmengine - INFO - Epoch(train) [126][180/327] lr: 5.000000e-04 eta: 2:41:11 time: 0.345782 data_time: 0.030962 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.908161 2023/08/10 00:13:30 - mmengine - INFO - Epoch(train) [126][190/327] lr: 5.000000e-04 eta: 2:41:08 time: 0.345695 data_time: 0.031130 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.902183 2023/08/10 00:13:33 - mmengine - INFO - Epoch(train) [126][200/327] lr: 5.000000e-04 eta: 2:41:04 time: 0.347533 data_time: 0.031181 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.905804 2023/08/10 00:13:37 - mmengine - INFO - Epoch(train) [126][210/327] lr: 5.000000e-04 eta: 2:41:01 time: 0.348851 data_time: 0.030919 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.882123 2023/08/10 00:13:40 - mmengine - INFO - Epoch(train) [126][220/327] lr: 5.000000e-04 eta: 2:40:57 time: 0.341802 data_time: 0.030469 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.935796 2023/08/10 00:13:44 - mmengine - INFO - Epoch(train) [126][230/327] lr: 5.000000e-04 eta: 2:40:54 time: 0.340282 data_time: 0.030284 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.931518 2023/08/10 00:13:47 - mmengine - INFO - Epoch(train) [126][240/327] lr: 5.000000e-04 eta: 2:40:50 time: 0.345936 data_time: 0.030828 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.924138 2023/08/10 00:13:51 - mmengine - INFO - Epoch(train) [126][250/327] lr: 5.000000e-04 eta: 2:40:47 time: 0.350781 data_time: 0.034432 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.853495 2023/08/10 00:13:54 - mmengine - INFO - Epoch(train) [126][260/327] lr: 5.000000e-04 eta: 2:40:43 time: 0.345639 data_time: 0.034869 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.950250 2023/08/10 00:13:58 - mmengine - INFO - Epoch(train) [126][270/327] lr: 5.000000e-04 eta: 2:40:40 time: 0.346463 data_time: 0.034963 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.916501 2023/08/10 00:14:01 - mmengine - INFO - Epoch(train) [126][280/327] lr: 5.000000e-04 eta: 2:40:36 time: 0.348243 data_time: 0.035588 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.891296 2023/08/10 00:14:05 - mmengine - INFO - Epoch(train) [126][290/327] lr: 5.000000e-04 eta: 2:40:32 time: 0.343285 data_time: 0.035883 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.927249 2023/08/10 00:14:08 - mmengine - INFO - Epoch(train) [126][300/327] lr: 5.000000e-04 eta: 2:40:29 time: 0.338546 data_time: 0.032670 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.929269 2023/08/10 00:14:11 - mmengine - INFO - Epoch(train) [126][310/327] lr: 5.000000e-04 eta: 2:40:25 time: 0.339459 data_time: 0.032775 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.906593 2023/08/10 00:14:15 - mmengine - INFO - Epoch(train) [126][320/327] lr: 5.000000e-04 eta: 2:40:22 time: 0.340858 data_time: 0.032717 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.907354 2023/08/10 00:14:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:14:21 - mmengine - INFO - Epoch(train) [127][ 10/327] lr: 5.000000e-04 eta: 2:40:16 time: 0.343915 data_time: 0.035882 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.882614 2023/08/10 00:14:24 - mmengine - INFO - Epoch(train) [127][ 20/327] lr: 5.000000e-04 eta: 2:40:12 time: 0.343167 data_time: 0.035297 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.922024 2023/08/10 00:14:28 - mmengine - INFO - Epoch(train) [127][ 30/327] lr: 5.000000e-04 eta: 2:40:09 time: 0.343892 data_time: 0.034814 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.884353 2023/08/10 00:14:31 - mmengine - INFO - Epoch(train) [127][ 40/327] lr: 5.000000e-04 eta: 2:40:05 time: 0.344941 data_time: 0.034859 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.899591 2023/08/10 00:14:35 - mmengine - INFO - Epoch(train) [127][ 50/327] lr: 5.000000e-04 eta: 2:40:02 time: 0.349058 data_time: 0.035751 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.915361 2023/08/10 00:14:38 - mmengine - INFO - Epoch(train) [127][ 60/327] lr: 5.000000e-04 eta: 2:39:58 time: 0.351525 data_time: 0.032066 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.983046 2023/08/10 00:14:42 - mmengine - INFO - Epoch(train) [127][ 70/327] lr: 5.000000e-04 eta: 2:39:55 time: 0.354712 data_time: 0.032279 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.867656 2023/08/10 00:14:45 - mmengine - INFO - Epoch(train) [127][ 80/327] lr: 5.000000e-04 eta: 2:39:51 time: 0.354571 data_time: 0.032380 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.946286 2023/08/10 00:14:49 - mmengine - INFO - Epoch(train) [127][ 90/327] lr: 5.000000e-04 eta: 2:39:48 time: 0.354553 data_time: 0.032622 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.958871 2023/08/10 00:14:52 - mmengine - INFO - Epoch(train) [127][100/327] lr: 5.000000e-04 eta: 2:39:44 time: 0.351583 data_time: 0.031752 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.958007 2023/08/10 00:14:56 - mmengine - INFO - Epoch(train) [127][110/327] lr: 5.000000e-04 eta: 2:39:41 time: 0.348606 data_time: 0.031492 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.861590 2023/08/10 00:14:59 - mmengine - INFO - Epoch(train) [127][120/327] lr: 5.000000e-04 eta: 2:39:37 time: 0.347331 data_time: 0.031559 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.868926 2023/08/10 00:15:03 - mmengine - INFO - Epoch(train) [127][130/327] lr: 5.000000e-04 eta: 2:39:34 time: 0.345806 data_time: 0.031352 memory: 4563 loss: 0.000621 loss_kpt: 0.000621 acc_pose: 0.930803 2023/08/10 00:15:06 - mmengine - INFO - Epoch(train) [127][140/327] lr: 5.000000e-04 eta: 2:39:30 time: 0.346600 data_time: 0.031150 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.939883 2023/08/10 00:15:10 - mmengine - INFO - Epoch(train) [127][150/327] lr: 5.000000e-04 eta: 2:39:27 time: 0.349778 data_time: 0.031121 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.869068 2023/08/10 00:15:13 - mmengine - INFO - Epoch(train) [127][160/327] lr: 5.000000e-04 eta: 2:39:23 time: 0.347580 data_time: 0.030710 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.901882 2023/08/10 00:15:17 - mmengine - INFO - Epoch(train) [127][170/327] lr: 5.000000e-04 eta: 2:39:20 time: 0.346845 data_time: 0.030575 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.925211 2023/08/10 00:15:20 - mmengine - INFO - Epoch(train) [127][180/327] lr: 5.000000e-04 eta: 2:39:16 time: 0.349092 data_time: 0.030781 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.947024 2023/08/10 00:15:24 - mmengine - INFO - Epoch(train) [127][190/327] lr: 5.000000e-04 eta: 2:39:13 time: 0.349590 data_time: 0.031018 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.909323 2023/08/10 00:15:27 - mmengine - INFO - Epoch(train) [127][200/327] lr: 5.000000e-04 eta: 2:39:09 time: 0.348025 data_time: 0.031170 memory: 4563 loss: 0.000633 loss_kpt: 0.000633 acc_pose: 0.937698 2023/08/10 00:15:30 - mmengine - INFO - Epoch(train) [127][210/327] lr: 5.000000e-04 eta: 2:39:05 time: 0.347450 data_time: 0.030948 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.912369 2023/08/10 00:15:34 - mmengine - INFO - Epoch(train) [127][220/327] lr: 5.000000e-04 eta: 2:39:02 time: 0.346342 data_time: 0.030761 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.949425 2023/08/10 00:15:37 - mmengine - INFO - Epoch(train) [127][230/327] lr: 5.000000e-04 eta: 2:38:58 time: 0.343787 data_time: 0.030646 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.926135 2023/08/10 00:15:41 - mmengine - INFO - Epoch(train) [127][240/327] lr: 5.000000e-04 eta: 2:38:55 time: 0.341148 data_time: 0.030270 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.924527 2023/08/10 00:15:44 - mmengine - INFO - Epoch(train) [127][250/327] lr: 5.000000e-04 eta: 2:38:51 time: 0.340029 data_time: 0.030407 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.863737 2023/08/10 00:15:48 - mmengine - INFO - Epoch(train) [127][260/327] lr: 5.000000e-04 eta: 2:38:48 time: 0.340994 data_time: 0.030659 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.891379 2023/08/10 00:15:51 - mmengine - INFO - Epoch(train) [127][270/327] lr: 5.000000e-04 eta: 2:38:44 time: 0.343661 data_time: 0.031103 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.938004 2023/08/10 00:15:55 - mmengine - INFO - Epoch(train) [127][280/327] lr: 5.000000e-04 eta: 2:38:41 time: 0.346835 data_time: 0.031119 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.959356 2023/08/10 00:15:58 - mmengine - INFO - Epoch(train) [127][290/327] lr: 5.000000e-04 eta: 2:38:37 time: 0.350435 data_time: 0.031208 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.905973 2023/08/10 00:16:02 - mmengine - INFO - Epoch(train) [127][300/327] lr: 5.000000e-04 eta: 2:38:34 time: 0.350573 data_time: 0.031177 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.956589 2023/08/10 00:16:05 - mmengine - INFO - Epoch(train) [127][310/327] lr: 5.000000e-04 eta: 2:38:30 time: 0.349756 data_time: 0.030997 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.860363 2023/08/10 00:16:09 - mmengine - INFO - Epoch(train) [127][320/327] lr: 5.000000e-04 eta: 2:38:27 time: 0.350930 data_time: 0.030874 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.875427 2023/08/10 00:16:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:16:15 - mmengine - INFO - Epoch(train) [128][ 10/327] lr: 5.000000e-04 eta: 2:38:21 time: 0.359085 data_time: 0.034825 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.876941 2023/08/10 00:16:18 - mmengine - INFO - Epoch(train) [128][ 20/327] lr: 5.000000e-04 eta: 2:38:17 time: 0.356849 data_time: 0.035019 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.895195 2023/08/10 00:16:22 - mmengine - INFO - Epoch(train) [128][ 30/327] lr: 5.000000e-04 eta: 2:38:14 time: 0.356453 data_time: 0.035039 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.884267 2023/08/10 00:16:25 - mmengine - INFO - Epoch(train) [128][ 40/327] lr: 5.000000e-04 eta: 2:38:10 time: 0.354679 data_time: 0.034809 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.909390 2023/08/10 00:16:29 - mmengine - INFO - Epoch(train) [128][ 50/327] lr: 5.000000e-04 eta: 2:38:07 time: 0.350403 data_time: 0.034721 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.964594 2023/08/10 00:16:32 - mmengine - INFO - Epoch(train) [128][ 60/327] lr: 5.000000e-04 eta: 2:38:03 time: 0.347313 data_time: 0.031136 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.932395 2023/08/10 00:16:36 - mmengine - INFO - Epoch(train) [128][ 70/327] lr: 5.000000e-04 eta: 2:38:00 time: 0.348815 data_time: 0.031488 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.923526 2023/08/10 00:16:39 - mmengine - INFO - Epoch(train) [128][ 80/327] lr: 5.000000e-04 eta: 2:37:56 time: 0.351467 data_time: 0.031552 memory: 4563 loss: 0.000617 loss_kpt: 0.000617 acc_pose: 0.983602 2023/08/10 00:16:43 - mmengine - INFO - Epoch(train) [128][ 90/327] lr: 5.000000e-04 eta: 2:37:53 time: 0.353244 data_time: 0.031770 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.880747 2023/08/10 00:16:46 - mmengine - INFO - Epoch(train) [128][100/327] lr: 5.000000e-04 eta: 2:37:49 time: 0.353206 data_time: 0.031874 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.833110 2023/08/10 00:16:50 - mmengine - INFO - Epoch(train) [128][110/327] lr: 5.000000e-04 eta: 2:37:46 time: 0.350439 data_time: 0.031187 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.878920 2023/08/10 00:16:53 - mmengine - INFO - Epoch(train) [128][120/327] lr: 5.000000e-04 eta: 2:37:42 time: 0.348802 data_time: 0.030683 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.990000 2023/08/10 00:16:57 - mmengine - INFO - Epoch(train) [128][130/327] lr: 5.000000e-04 eta: 2:37:39 time: 0.351934 data_time: 0.030346 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.882511 2023/08/10 00:17:01 - mmengine - INFO - Epoch(train) [128][140/327] lr: 5.000000e-04 eta: 2:37:35 time: 0.352727 data_time: 0.030870 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.847126 2023/08/10 00:17:04 - mmengine - INFO - Epoch(train) [128][150/327] lr: 5.000000e-04 eta: 2:37:32 time: 0.355408 data_time: 0.031244 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.929187 2023/08/10 00:17:08 - mmengine - INFO - Epoch(train) [128][160/327] lr: 5.000000e-04 eta: 2:37:29 time: 0.355479 data_time: 0.031482 memory: 4563 loss: 0.000628 loss_kpt: 0.000628 acc_pose: 0.892937 2023/08/10 00:17:11 - mmengine - INFO - Epoch(train) [128][170/327] lr: 5.000000e-04 eta: 2:37:25 time: 0.354489 data_time: 0.031225 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.941917 2023/08/10 00:17:15 - mmengine - INFO - Epoch(train) [128][180/327] lr: 5.000000e-04 eta: 2:37:21 time: 0.348843 data_time: 0.031365 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.898603 2023/08/10 00:17:18 - mmengine - INFO - Epoch(train) [128][190/327] lr: 5.000000e-04 eta: 2:37:18 time: 0.346567 data_time: 0.030643 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.909606 2023/08/10 00:17:21 - mmengine - INFO - Epoch(train) [128][200/327] lr: 5.000000e-04 eta: 2:37:14 time: 0.342598 data_time: 0.030454 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.890185 2023/08/10 00:17:25 - mmengine - INFO - Epoch(train) [128][210/327] lr: 5.000000e-04 eta: 2:37:11 time: 0.343088 data_time: 0.030281 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.973522 2023/08/10 00:17:28 - mmengine - INFO - Epoch(train) [128][220/327] lr: 5.000000e-04 eta: 2:37:07 time: 0.344363 data_time: 0.030667 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.890363 2023/08/10 00:17:32 - mmengine - INFO - Epoch(train) [128][230/327] lr: 5.000000e-04 eta: 2:37:04 time: 0.346664 data_time: 0.030388 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.914614 2023/08/10 00:17:36 - mmengine - INFO - Epoch(train) [128][240/327] lr: 5.000000e-04 eta: 2:37:00 time: 0.354954 data_time: 0.030780 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.906481 2023/08/10 00:17:39 - mmengine - INFO - Epoch(train) [128][250/327] lr: 5.000000e-04 eta: 2:36:57 time: 0.361609 data_time: 0.030542 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.916667 2023/08/10 00:17:43 - mmengine - INFO - Epoch(train) [128][260/327] lr: 5.000000e-04 eta: 2:36:54 time: 0.366001 data_time: 0.030664 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.887000 2023/08/10 00:17:47 - mmengine - INFO - Epoch(train) [128][270/327] lr: 5.000000e-04 eta: 2:36:50 time: 0.368608 data_time: 0.030707 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.949138 2023/08/10 00:17:51 - mmengine - INFO - Epoch(train) [128][280/327] lr: 5.000000e-04 eta: 2:36:47 time: 0.374354 data_time: 0.030912 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.901265 2023/08/10 00:17:54 - mmengine - INFO - Epoch(train) [128][290/327] lr: 5.000000e-04 eta: 2:36:44 time: 0.368586 data_time: 0.031022 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.946340 2023/08/10 00:17:58 - mmengine - INFO - Epoch(train) [128][300/327] lr: 5.000000e-04 eta: 2:36:40 time: 0.361873 data_time: 0.031065 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.955973 2023/08/10 00:18:01 - mmengine - INFO - Epoch(train) [128][310/327] lr: 5.000000e-04 eta: 2:36:37 time: 0.361527 data_time: 0.031135 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.894368 2023/08/10 00:18:05 - mmengine - INFO - Epoch(train) [128][320/327] lr: 5.000000e-04 eta: 2:36:33 time: 0.365507 data_time: 0.031283 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.892054 2023/08/10 00:18:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:18:11 - mmengine - INFO - Epoch(train) [129][ 10/327] lr: 5.000000e-04 eta: 2:36:27 time: 0.359698 data_time: 0.033949 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.917204 2023/08/10 00:18:15 - mmengine - INFO - Epoch(train) [129][ 20/327] lr: 5.000000e-04 eta: 2:36:24 time: 0.359320 data_time: 0.034778 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.895299 2023/08/10 00:18:18 - mmengine - INFO - Epoch(train) [129][ 30/327] lr: 5.000000e-04 eta: 2:36:20 time: 0.359521 data_time: 0.034681 memory: 4563 loss: 0.000622 loss_kpt: 0.000622 acc_pose: 0.899455 2023/08/10 00:18:22 - mmengine - INFO - Epoch(train) [129][ 40/327] lr: 5.000000e-04 eta: 2:36:17 time: 0.353159 data_time: 0.034765 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.882598 2023/08/10 00:18:25 - mmengine - INFO - Epoch(train) [129][ 50/327] lr: 5.000000e-04 eta: 2:36:13 time: 0.354820 data_time: 0.035633 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.927961 2023/08/10 00:18:28 - mmengine - INFO - Epoch(train) [129][ 60/327] lr: 5.000000e-04 eta: 2:36:10 time: 0.347897 data_time: 0.031357 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.892149 2023/08/10 00:18:32 - mmengine - INFO - Epoch(train) [129][ 70/327] lr: 5.000000e-04 eta: 2:36:06 time: 0.348387 data_time: 0.031205 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.853547 2023/08/10 00:18:35 - mmengine - INFO - Epoch(train) [129][ 80/327] lr: 5.000000e-04 eta: 2:36:03 time: 0.346753 data_time: 0.031988 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.924567 2023/08/10 00:18:39 - mmengine - INFO - Epoch(train) [129][ 90/327] lr: 5.000000e-04 eta: 2:35:59 time: 0.349156 data_time: 0.031860 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.956897 2023/08/10 00:18:43 - mmengine - INFO - Epoch(train) [129][100/327] lr: 5.000000e-04 eta: 2:35:56 time: 0.349747 data_time: 0.031976 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.939490 2023/08/10 00:18:46 - mmengine - INFO - Epoch(train) [129][110/327] lr: 5.000000e-04 eta: 2:35:52 time: 0.349810 data_time: 0.032116 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.963528 2023/08/10 00:18:49 - mmengine - INFO - Epoch(train) [129][120/327] lr: 5.000000e-04 eta: 2:35:49 time: 0.346813 data_time: 0.031789 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.885942 2023/08/10 00:18:53 - mmengine - INFO - Epoch(train) [129][130/327] lr: 5.000000e-04 eta: 2:35:45 time: 0.345993 data_time: 0.031237 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.949637 2023/08/10 00:18:56 - mmengine - INFO - Epoch(train) [129][140/327] lr: 5.000000e-04 eta: 2:35:42 time: 0.343083 data_time: 0.031012 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.886223 2023/08/10 00:18:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:19:00 - mmengine - INFO - Epoch(train) [129][150/327] lr: 5.000000e-04 eta: 2:35:38 time: 0.345265 data_time: 0.031959 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.899803 2023/08/10 00:19:03 - mmengine - INFO - Epoch(train) [129][160/327] lr: 5.000000e-04 eta: 2:35:35 time: 0.349373 data_time: 0.035680 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.893575 2023/08/10 00:19:07 - mmengine - INFO - Epoch(train) [129][170/327] lr: 5.000000e-04 eta: 2:35:31 time: 0.350634 data_time: 0.035922 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.914905 2023/08/10 00:19:10 - mmengine - INFO - Epoch(train) [129][180/327] lr: 5.000000e-04 eta: 2:35:28 time: 0.350889 data_time: 0.035667 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.941748 2023/08/10 00:19:14 - mmengine - INFO - Epoch(train) [129][190/327] lr: 5.000000e-04 eta: 2:35:24 time: 0.356784 data_time: 0.035989 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.927638 2023/08/10 00:19:18 - mmengine - INFO - Epoch(train) [129][200/327] lr: 5.000000e-04 eta: 2:35:21 time: 0.363065 data_time: 0.035380 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.897619 2023/08/10 00:19:22 - mmengine - INFO - Epoch(train) [129][210/327] lr: 5.000000e-04 eta: 2:35:18 time: 0.362585 data_time: 0.032209 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.939267 2023/08/10 00:19:25 - mmengine - INFO - Epoch(train) [129][220/327] lr: 5.000000e-04 eta: 2:35:14 time: 0.367275 data_time: 0.032240 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.909946 2023/08/10 00:19:29 - mmengine - INFO - Epoch(train) [129][230/327] lr: 5.000000e-04 eta: 2:35:11 time: 0.367973 data_time: 0.033315 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.867274 2023/08/10 00:19:32 - mmengine - INFO - Epoch(train) [129][240/327] lr: 5.000000e-04 eta: 2:35:07 time: 0.360872 data_time: 0.033555 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.871752 2023/08/10 00:19:36 - mmengine - INFO - Epoch(train) [129][250/327] lr: 5.000000e-04 eta: 2:35:04 time: 0.351663 data_time: 0.033684 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.951813 2023/08/10 00:19:39 - mmengine - INFO - Epoch(train) [129][260/327] lr: 5.000000e-04 eta: 2:35:00 time: 0.348004 data_time: 0.033356 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.930973 2023/08/10 00:19:42 - mmengine - INFO - Epoch(train) [129][270/327] lr: 5.000000e-04 eta: 2:34:57 time: 0.344080 data_time: 0.033348 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.916172 2023/08/10 00:19:46 - mmengine - INFO - Epoch(train) [129][280/327] lr: 5.000000e-04 eta: 2:34:53 time: 0.344179 data_time: 0.032655 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.956458 2023/08/10 00:19:50 - mmengine - INFO - Epoch(train) [129][290/327] lr: 5.000000e-04 eta: 2:34:50 time: 0.348212 data_time: 0.033069 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.938732 2023/08/10 00:19:53 - mmengine - INFO - Epoch(train) [129][300/327] lr: 5.000000e-04 eta: 2:34:46 time: 0.348237 data_time: 0.032671 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.918730 2023/08/10 00:19:56 - mmengine - INFO - Epoch(train) [129][310/327] lr: 5.000000e-04 eta: 2:34:42 time: 0.348556 data_time: 0.032371 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.912562 2023/08/10 00:20:00 - mmengine - INFO - Epoch(train) [129][320/327] lr: 5.000000e-04 eta: 2:34:39 time: 0.348049 data_time: 0.031860 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.923469 2023/08/10 00:20:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:20:06 - mmengine - INFO - Epoch(train) [130][ 10/327] lr: 5.000000e-04 eta: 2:34:33 time: 0.348695 data_time: 0.037100 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.888297 2023/08/10 00:20:09 - mmengine - INFO - Epoch(train) [130][ 20/327] lr: 5.000000e-04 eta: 2:34:30 time: 0.350609 data_time: 0.037182 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.851786 2023/08/10 00:20:13 - mmengine - INFO - Epoch(train) [130][ 30/327] lr: 5.000000e-04 eta: 2:34:26 time: 0.353284 data_time: 0.037668 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.944183 2023/08/10 00:20:17 - mmengine - INFO - Epoch(train) [130][ 40/327] lr: 5.000000e-04 eta: 2:34:23 time: 0.355530 data_time: 0.037953 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.925335 2023/08/10 00:20:20 - mmengine - INFO - Epoch(train) [130][ 50/327] lr: 5.000000e-04 eta: 2:34:19 time: 0.359573 data_time: 0.039401 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.943172 2023/08/10 00:20:24 - mmengine - INFO - Epoch(train) [130][ 60/327] lr: 5.000000e-04 eta: 2:34:16 time: 0.354402 data_time: 0.032516 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.936053 2023/08/10 00:20:27 - mmengine - INFO - Epoch(train) [130][ 70/327] lr: 5.000000e-04 eta: 2:34:12 time: 0.352265 data_time: 0.032175 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.892288 2023/08/10 00:20:31 - mmengine - INFO - Epoch(train) [130][ 80/327] lr: 5.000000e-04 eta: 2:34:09 time: 0.350721 data_time: 0.031827 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.919860 2023/08/10 00:20:34 - mmengine - INFO - Epoch(train) [130][ 90/327] lr: 5.000000e-04 eta: 2:34:05 time: 0.350189 data_time: 0.031721 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.891705 2023/08/10 00:20:38 - mmengine - INFO - Epoch(train) [130][100/327] lr: 5.000000e-04 eta: 2:34:02 time: 0.353484 data_time: 0.030875 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.866311 2023/08/10 00:20:41 - mmengine - INFO - Epoch(train) [130][110/327] lr: 5.000000e-04 eta: 2:33:58 time: 0.353457 data_time: 0.030793 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.973143 2023/08/10 00:20:45 - mmengine - INFO - Epoch(train) [130][120/327] lr: 5.000000e-04 eta: 2:33:55 time: 0.354031 data_time: 0.030680 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.874944 2023/08/10 00:20:48 - mmengine - INFO - Epoch(train) [130][130/327] lr: 5.000000e-04 eta: 2:33:51 time: 0.351386 data_time: 0.030344 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.888528 2023/08/10 00:20:52 - mmengine - INFO - Epoch(train) [130][140/327] lr: 5.000000e-04 eta: 2:33:48 time: 0.354347 data_time: 0.030391 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.918605 2023/08/10 00:20:56 - mmengine - INFO - Epoch(train) [130][150/327] lr: 5.000000e-04 eta: 2:33:44 time: 0.357196 data_time: 0.030641 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.901557 2023/08/10 00:20:59 - mmengine - INFO - Epoch(train) [130][160/327] lr: 5.000000e-04 eta: 2:33:41 time: 0.356597 data_time: 0.031148 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.912723 2023/08/10 00:21:03 - mmengine - INFO - Epoch(train) [130][170/327] lr: 5.000000e-04 eta: 2:33:37 time: 0.355034 data_time: 0.031552 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.914936 2023/08/10 00:21:06 - mmengine - INFO - Epoch(train) [130][180/327] lr: 5.000000e-04 eta: 2:33:34 time: 0.359805 data_time: 0.034853 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.873637 2023/08/10 00:21:10 - mmengine - INFO - Epoch(train) [130][190/327] lr: 5.000000e-04 eta: 2:33:30 time: 0.356165 data_time: 0.034502 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.877110 2023/08/10 00:21:13 - mmengine - INFO - Epoch(train) [130][200/327] lr: 5.000000e-04 eta: 2:33:27 time: 0.347347 data_time: 0.034040 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.947619 2023/08/10 00:21:17 - mmengine - INFO - Epoch(train) [130][210/327] lr: 5.000000e-04 eta: 2:33:23 time: 0.348178 data_time: 0.034011 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.925010 2023/08/10 00:21:20 - mmengine - INFO - Epoch(train) [130][220/327] lr: 5.000000e-04 eta: 2:33:20 time: 0.349251 data_time: 0.034389 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.942473 2023/08/10 00:21:24 - mmengine - INFO - Epoch(train) [130][230/327] lr: 5.000000e-04 eta: 2:33:16 time: 0.346532 data_time: 0.031496 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.954034 2023/08/10 00:21:27 - mmengine - INFO - Epoch(train) [130][240/327] lr: 5.000000e-04 eta: 2:33:13 time: 0.345366 data_time: 0.031786 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.920190 2023/08/10 00:21:30 - mmengine - INFO - Epoch(train) [130][250/327] lr: 5.000000e-04 eta: 2:33:09 time: 0.346140 data_time: 0.031742 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.893568 2023/08/10 00:21:34 - mmengine - INFO - Epoch(train) [130][260/327] lr: 5.000000e-04 eta: 2:33:06 time: 0.345208 data_time: 0.031179 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.898563 2023/08/10 00:21:37 - mmengine - INFO - Epoch(train) [130][270/327] lr: 5.000000e-04 eta: 2:33:02 time: 0.343983 data_time: 0.030346 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.974343 2023/08/10 00:21:41 - mmengine - INFO - Epoch(train) [130][280/327] lr: 5.000000e-04 eta: 2:32:59 time: 0.345138 data_time: 0.030442 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.866334 2023/08/10 00:21:44 - mmengine - INFO - Epoch(train) [130][290/327] lr: 5.000000e-04 eta: 2:32:55 time: 0.344826 data_time: 0.030612 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.927127 2023/08/10 00:21:48 - mmengine - INFO - Epoch(train) [130][300/327] lr: 5.000000e-04 eta: 2:32:52 time: 0.347944 data_time: 0.031173 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.940084 2023/08/10 00:21:51 - mmengine - INFO - Epoch(train) [130][310/327] lr: 5.000000e-04 eta: 2:32:48 time: 0.349513 data_time: 0.031764 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.908709 2023/08/10 00:21:55 - mmengine - INFO - Epoch(train) [130][320/327] lr: 5.000000e-04 eta: 2:32:45 time: 0.350914 data_time: 0.031899 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.930686 2023/08/10 00:21:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:21:57 - mmengine - INFO - Saving checkpoint at 130 epochs 2023/08/10 00:22:03 - mmengine - INFO - Epoch(val) [130][10/79] eta: 0:00:14 time: 0.195629 data_time: 0.012625 memory: 4563 2023/08/10 00:22:05 - mmengine - INFO - Epoch(val) [130][20/79] eta: 0:00:11 time: 0.195588 data_time: 0.012594 memory: 1634 2023/08/10 00:22:07 - mmengine - INFO - Epoch(val) [130][30/79] eta: 0:00:09 time: 0.195286 data_time: 0.012481 memory: 1634 2023/08/10 00:22:09 - mmengine - INFO - Epoch(val) [130][40/79] eta: 0:00:07 time: 0.195218 data_time: 0.012769 memory: 1634 2023/08/10 00:22:11 - mmengine - INFO - Epoch(val) [130][50/79] eta: 0:00:05 time: 0.197622 data_time: 0.013141 memory: 1634 2023/08/10 00:22:13 - mmengine - INFO - Epoch(val) [130][60/79] eta: 0:00:03 time: 0.194830 data_time: 0.011119 memory: 1634 2023/08/10 00:22:15 - mmengine - INFO - Epoch(val) [130][70/79] eta: 0:00:01 time: 0.194787 data_time: 0.011043 memory: 1634 2023/08/10 00:22:16 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 00:22:17 - mmengine - INFO - Evaluating AUC... 2023/08/10 00:22:17 - mmengine - INFO - Evaluating EPE... 2023/08/10 00:22:17 - mmengine - INFO - Epoch(val) [130][79/79] PCK: 0.975513 AUC: 0.755278 EPE: 9.094583 data_time: 0.012054 time: 0.194091 2023/08/10 00:22:20 - mmengine - INFO - Epoch(train) [131][ 10/327] lr: 5.000000e-04 eta: 2:32:39 time: 0.354576 data_time: 0.035741 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.876232 2023/08/10 00:22:24 - mmengine - INFO - Epoch(train) [131][ 20/327] lr: 5.000000e-04 eta: 2:32:35 time: 0.350185 data_time: 0.035640 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.918456 2023/08/10 00:22:27 - mmengine - INFO - Epoch(train) [131][ 30/327] lr: 5.000000e-04 eta: 2:32:32 time: 0.346829 data_time: 0.035562 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.916285 2023/08/10 00:22:31 - mmengine - INFO - Epoch(train) [131][ 40/327] lr: 5.000000e-04 eta: 2:32:28 time: 0.343609 data_time: 0.035041 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.925135 2023/08/10 00:22:34 - mmengine - INFO - Epoch(train) [131][ 50/327] lr: 5.000000e-04 eta: 2:32:25 time: 0.348513 data_time: 0.036318 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.897414 2023/08/10 00:22:37 - mmengine - INFO - Epoch(train) [131][ 60/327] lr: 5.000000e-04 eta: 2:32:21 time: 0.339955 data_time: 0.032174 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.974405 2023/08/10 00:22:41 - mmengine - INFO - Epoch(train) [131][ 70/327] lr: 5.000000e-04 eta: 2:32:17 time: 0.340536 data_time: 0.032523 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.896244 2023/08/10 00:22:44 - mmengine - INFO - Epoch(train) [131][ 80/327] lr: 5.000000e-04 eta: 2:32:14 time: 0.340275 data_time: 0.033083 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.872126 2023/08/10 00:22:47 - mmengine - INFO - Epoch(train) [131][ 90/327] lr: 5.000000e-04 eta: 2:32:10 time: 0.338701 data_time: 0.033134 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.955594 2023/08/10 00:22:51 - mmengine - INFO - Epoch(train) [131][100/327] lr: 5.000000e-04 eta: 2:32:07 time: 0.332928 data_time: 0.032445 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.896552 2023/08/10 00:22:54 - mmengine - INFO - Epoch(train) [131][110/327] lr: 5.000000e-04 eta: 2:32:03 time: 0.335206 data_time: 0.031722 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.865212 2023/08/10 00:22:58 - mmengine - INFO - Epoch(train) [131][120/327] lr: 5.000000e-04 eta: 2:32:00 time: 0.340794 data_time: 0.031107 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.938732 2023/08/10 00:23:01 - mmengine - INFO - Epoch(train) [131][130/327] lr: 5.000000e-04 eta: 2:31:56 time: 0.343377 data_time: 0.030613 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.892580 2023/08/10 00:23:05 - mmengine - INFO - Epoch(train) [131][140/327] lr: 5.000000e-04 eta: 2:31:52 time: 0.345059 data_time: 0.030792 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.838548 2023/08/10 00:23:08 - mmengine - INFO - Epoch(train) [131][150/327] lr: 5.000000e-04 eta: 2:31:49 time: 0.346414 data_time: 0.030877 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.882184 2023/08/10 00:23:11 - mmengine - INFO - Epoch(train) [131][160/327] lr: 5.000000e-04 eta: 2:31:45 time: 0.342943 data_time: 0.030871 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.888424 2023/08/10 00:23:15 - mmengine - INFO - Epoch(train) [131][170/327] lr: 5.000000e-04 eta: 2:31:42 time: 0.336414 data_time: 0.030918 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.922619 2023/08/10 00:23:18 - mmengine - INFO - Epoch(train) [131][180/327] lr: 5.000000e-04 eta: 2:31:38 time: 0.335306 data_time: 0.030869 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.909015 2023/08/10 00:23:22 - mmengine - INFO - Epoch(train) [131][190/327] lr: 5.000000e-04 eta: 2:31:35 time: 0.336519 data_time: 0.031130 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.873677 2023/08/10 00:23:25 - mmengine - INFO - Epoch(train) [131][200/327] lr: 5.000000e-04 eta: 2:31:31 time: 0.339578 data_time: 0.031183 memory: 4563 loss: 0.000613 loss_kpt: 0.000613 acc_pose: 0.907005 2023/08/10 00:23:28 - mmengine - INFO - Epoch(train) [131][210/327] lr: 5.000000e-04 eta: 2:31:27 time: 0.341826 data_time: 0.031653 memory: 4563 loss: 0.000624 loss_kpt: 0.000624 acc_pose: 0.900769 2023/08/10 00:23:32 - mmengine - INFO - Epoch(train) [131][220/327] lr: 5.000000e-04 eta: 2:31:24 time: 0.342647 data_time: 0.031271 memory: 4563 loss: 0.000631 loss_kpt: 0.000631 acc_pose: 0.917473 2023/08/10 00:23:36 - mmengine - INFO - Epoch(train) [131][230/327] lr: 5.000000e-04 eta: 2:31:21 time: 0.348983 data_time: 0.031222 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.915954 2023/08/10 00:23:39 - mmengine - INFO - Epoch(train) [131][240/327] lr: 5.000000e-04 eta: 2:31:17 time: 0.353866 data_time: 0.030678 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.897853 2023/08/10 00:23:43 - mmengine - INFO - Epoch(train) [131][250/327] lr: 5.000000e-04 eta: 2:31:14 time: 0.349840 data_time: 0.030388 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.859524 2023/08/10 00:23:46 - mmengine - INFO - Epoch(train) [131][260/327] lr: 5.000000e-04 eta: 2:31:10 time: 0.351735 data_time: 0.031607 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.805419 2023/08/10 00:23:49 - mmengine - INFO - Epoch(train) [131][270/327] lr: 5.000000e-04 eta: 2:31:06 time: 0.352882 data_time: 0.031737 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.967994 2023/08/10 00:23:53 - mmengine - INFO - Epoch(train) [131][280/327] lr: 5.000000e-04 eta: 2:31:03 time: 0.347270 data_time: 0.031857 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.971379 2023/08/10 00:23:56 - mmengine - INFO - Epoch(train) [131][290/327] lr: 5.000000e-04 eta: 2:30:59 time: 0.340008 data_time: 0.031981 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.907143 2023/08/10 00:24:00 - mmengine - INFO - Epoch(train) [131][300/327] lr: 5.000000e-04 eta: 2:30:56 time: 0.343906 data_time: 0.031986 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.956589 2023/08/10 00:24:03 - mmengine - INFO - Epoch(train) [131][310/327] lr: 5.000000e-04 eta: 2:30:52 time: 0.341779 data_time: 0.030427 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.964901 2023/08/10 00:24:07 - mmengine - INFO - Epoch(train) [131][320/327] lr: 5.000000e-04 eta: 2:30:49 time: 0.340883 data_time: 0.030429 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.982451 2023/08/10 00:24:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:24:13 - mmengine - INFO - Epoch(train) [132][ 10/327] lr: 5.000000e-04 eta: 2:30:43 time: 0.344999 data_time: 0.034498 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.918730 2023/08/10 00:24:16 - mmengine - INFO - Epoch(train) [132][ 20/327] lr: 5.000000e-04 eta: 2:30:39 time: 0.345308 data_time: 0.034749 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.911900 2023/08/10 00:24:20 - mmengine - INFO - Epoch(train) [132][ 30/327] lr: 5.000000e-04 eta: 2:30:36 time: 0.352507 data_time: 0.035518 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.951057 2023/08/10 00:24:23 - mmengine - INFO - Epoch(train) [132][ 40/327] lr: 5.000000e-04 eta: 2:30:32 time: 0.350835 data_time: 0.035367 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.922746 2023/08/10 00:24:26 - mmengine - INFO - Epoch(train) [132][ 50/327] lr: 5.000000e-04 eta: 2:30:29 time: 0.351008 data_time: 0.035609 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.909809 2023/08/10 00:24:30 - mmengine - INFO - Epoch(train) [132][ 60/327] lr: 5.000000e-04 eta: 2:30:25 time: 0.344525 data_time: 0.031005 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.934638 2023/08/10 00:24:33 - mmengine - INFO - Epoch(train) [132][ 70/327] lr: 5.000000e-04 eta: 2:30:21 time: 0.340727 data_time: 0.030780 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.878564 2023/08/10 00:24:36 - mmengine - INFO - Epoch(train) [132][ 80/327] lr: 5.000000e-04 eta: 2:30:18 time: 0.333286 data_time: 0.030040 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.930560 2023/08/10 00:24:40 - mmengine - INFO - Epoch(train) [132][ 90/327] lr: 5.000000e-04 eta: 2:30:14 time: 0.334338 data_time: 0.030149 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.924694 2023/08/10 00:24:43 - mmengine - INFO - Epoch(train) [132][100/327] lr: 5.000000e-04 eta: 2:30:11 time: 0.336345 data_time: 0.030836 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.886559 2023/08/10 00:24:47 - mmengine - INFO - Epoch(train) [132][110/327] lr: 5.000000e-04 eta: 2:30:07 time: 0.336537 data_time: 0.031307 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.918642 2023/08/10 00:24:50 - mmengine - INFO - Epoch(train) [132][120/327] lr: 5.000000e-04 eta: 2:30:04 time: 0.336894 data_time: 0.031303 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.940230 2023/08/10 00:24:53 - mmengine - INFO - Epoch(train) [132][130/327] lr: 5.000000e-04 eta: 2:30:00 time: 0.337846 data_time: 0.031901 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.846485 2023/08/10 00:24:57 - mmengine - INFO - Epoch(train) [132][140/327] lr: 5.000000e-04 eta: 2:29:57 time: 0.341729 data_time: 0.032281 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.857474 2023/08/10 00:25:01 - mmengine - INFO - Epoch(train) [132][150/327] lr: 5.000000e-04 eta: 2:29:53 time: 0.345931 data_time: 0.032659 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.924340 2023/08/10 00:25:04 - mmengine - INFO - Epoch(train) [132][160/327] lr: 5.000000e-04 eta: 2:29:50 time: 0.353844 data_time: 0.032494 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.828607 2023/08/10 00:25:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:25:08 - mmengine - INFO - Epoch(train) [132][170/327] lr: 5.000000e-04 eta: 2:29:46 time: 0.363405 data_time: 0.032492 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.904229 2023/08/10 00:25:12 - mmengine - INFO - Epoch(train) [132][180/327] lr: 5.000000e-04 eta: 2:29:43 time: 0.371597 data_time: 0.031692 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.925030 2023/08/10 00:25:16 - mmengine - INFO - Epoch(train) [132][190/327] lr: 5.000000e-04 eta: 2:29:40 time: 0.371726 data_time: 0.031676 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.882437 2023/08/10 00:25:19 - mmengine - INFO - Epoch(train) [132][200/327] lr: 5.000000e-04 eta: 2:29:36 time: 0.375827 data_time: 0.031206 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.896429 2023/08/10 00:25:23 - mmengine - INFO - Epoch(train) [132][210/327] lr: 5.000000e-04 eta: 2:29:33 time: 0.372293 data_time: 0.031582 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.930111 2023/08/10 00:25:26 - mmengine - INFO - Epoch(train) [132][220/327] lr: 5.000000e-04 eta: 2:29:29 time: 0.365156 data_time: 0.031805 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.932184 2023/08/10 00:25:30 - mmengine - INFO - Epoch(train) [132][230/327] lr: 5.000000e-04 eta: 2:29:26 time: 0.357295 data_time: 0.032223 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.872947 2023/08/10 00:25:33 - mmengine - INFO - Epoch(train) [132][240/327] lr: 5.000000e-04 eta: 2:29:22 time: 0.353727 data_time: 0.031903 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.914655 2023/08/10 00:25:37 - mmengine - INFO - Epoch(train) [132][250/327] lr: 5.000000e-04 eta: 2:29:19 time: 0.346011 data_time: 0.031688 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.904078 2023/08/10 00:25:40 - mmengine - INFO - Epoch(train) [132][260/327] lr: 5.000000e-04 eta: 2:29:15 time: 0.343261 data_time: 0.030994 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.941324 2023/08/10 00:25:44 - mmengine - INFO - Epoch(train) [132][270/327] lr: 5.000000e-04 eta: 2:29:12 time: 0.343799 data_time: 0.031021 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.905858 2023/08/10 00:25:47 - mmengine - INFO - Epoch(train) [132][280/327] lr: 5.000000e-04 eta: 2:29:08 time: 0.345689 data_time: 0.031126 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.911111 2023/08/10 00:25:51 - mmengine - INFO - Epoch(train) [132][290/327] lr: 5.000000e-04 eta: 2:29:05 time: 0.348683 data_time: 0.031302 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.919905 2023/08/10 00:25:54 - mmengine - INFO - Epoch(train) [132][300/327] lr: 5.000000e-04 eta: 2:29:01 time: 0.352953 data_time: 0.031769 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.951613 2023/08/10 00:25:58 - mmengine - INFO - Epoch(train) [132][310/327] lr: 5.000000e-04 eta: 2:28:58 time: 0.360000 data_time: 0.032225 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.923563 2023/08/10 00:26:02 - mmengine - INFO - Epoch(train) [132][320/327] lr: 5.000000e-04 eta: 2:28:55 time: 0.366958 data_time: 0.032859 memory: 4563 loss: 0.000630 loss_kpt: 0.000630 acc_pose: 0.898522 2023/08/10 00:26:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:26:08 - mmengine - INFO - Epoch(train) [133][ 10/327] lr: 5.000000e-04 eta: 2:28:49 time: 0.376666 data_time: 0.036391 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.926042 2023/08/10 00:26:12 - mmengine - INFO - Epoch(train) [133][ 20/327] lr: 5.000000e-04 eta: 2:28:46 time: 0.378805 data_time: 0.039179 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.881576 2023/08/10 00:26:16 - mmengine - INFO - Epoch(train) [133][ 30/327] lr: 5.000000e-04 eta: 2:28:42 time: 0.375605 data_time: 0.039336 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.904122 2023/08/10 00:26:19 - mmengine - INFO - Epoch(train) [133][ 40/327] lr: 5.000000e-04 eta: 2:28:39 time: 0.366162 data_time: 0.038748 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.923830 2023/08/10 00:26:22 - mmengine - INFO - Epoch(train) [133][ 50/327] lr: 5.000000e-04 eta: 2:28:35 time: 0.358275 data_time: 0.038688 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.894351 2023/08/10 00:26:26 - mmengine - INFO - Epoch(train) [133][ 60/327] lr: 5.000000e-04 eta: 2:28:31 time: 0.347439 data_time: 0.034432 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.881565 2023/08/10 00:26:29 - mmengine - INFO - Epoch(train) [133][ 70/327] lr: 5.000000e-04 eta: 2:28:28 time: 0.339571 data_time: 0.030985 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.946383 2023/08/10 00:26:33 - mmengine - INFO - Epoch(train) [133][ 80/327] lr: 5.000000e-04 eta: 2:28:24 time: 0.335603 data_time: 0.030449 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.872224 2023/08/10 00:26:36 - mmengine - INFO - Epoch(train) [133][ 90/327] lr: 5.000000e-04 eta: 2:28:21 time: 0.338118 data_time: 0.030520 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.870370 2023/08/10 00:26:39 - mmengine - INFO - Epoch(train) [133][100/327] lr: 5.000000e-04 eta: 2:28:17 time: 0.338932 data_time: 0.030903 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.932087 2023/08/10 00:26:43 - mmengine - INFO - Epoch(train) [133][110/327] lr: 5.000000e-04 eta: 2:28:14 time: 0.339044 data_time: 0.031501 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.907451 2023/08/10 00:26:46 - mmengine - INFO - Epoch(train) [133][120/327] lr: 5.000000e-04 eta: 2:28:10 time: 0.339470 data_time: 0.032419 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.875204 2023/08/10 00:26:50 - mmengine - INFO - Epoch(train) [133][130/327] lr: 5.000000e-04 eta: 2:28:06 time: 0.339354 data_time: 0.033130 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.914451 2023/08/10 00:26:53 - mmengine - INFO - Epoch(train) [133][140/327] lr: 5.000000e-04 eta: 2:28:03 time: 0.338494 data_time: 0.033631 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.892743 2023/08/10 00:26:56 - mmengine - INFO - Epoch(train) [133][150/327] lr: 5.000000e-04 eta: 2:27:59 time: 0.337725 data_time: 0.033540 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.921360 2023/08/10 00:27:00 - mmengine - INFO - Epoch(train) [133][160/327] lr: 5.000000e-04 eta: 2:27:56 time: 0.338890 data_time: 0.033218 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.934659 2023/08/10 00:27:03 - mmengine - INFO - Epoch(train) [133][170/327] lr: 5.000000e-04 eta: 2:27:52 time: 0.339932 data_time: 0.032547 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.946574 2023/08/10 00:27:07 - mmengine - INFO - Epoch(train) [133][180/327] lr: 5.000000e-04 eta: 2:27:49 time: 0.342628 data_time: 0.032482 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.902890 2023/08/10 00:27:10 - mmengine - INFO - Epoch(train) [133][190/327] lr: 5.000000e-04 eta: 2:27:45 time: 0.340391 data_time: 0.032241 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.922286 2023/08/10 00:27:13 - mmengine - INFO - Epoch(train) [133][200/327] lr: 5.000000e-04 eta: 2:27:42 time: 0.342826 data_time: 0.032744 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.936152 2023/08/10 00:27:17 - mmengine - INFO - Epoch(train) [133][210/327] lr: 5.000000e-04 eta: 2:27:38 time: 0.341012 data_time: 0.033423 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.860159 2023/08/10 00:27:20 - mmengine - INFO - Epoch(train) [133][220/327] lr: 5.000000e-04 eta: 2:27:35 time: 0.344947 data_time: 0.034290 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.933027 2023/08/10 00:27:24 - mmengine - INFO - Epoch(train) [133][230/327] lr: 5.000000e-04 eta: 2:27:31 time: 0.345336 data_time: 0.033610 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.956260 2023/08/10 00:27:27 - mmengine - INFO - Epoch(train) [133][240/327] lr: 5.000000e-04 eta: 2:27:27 time: 0.346432 data_time: 0.033290 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.925687 2023/08/10 00:27:31 - mmengine - INFO - Epoch(train) [133][250/327] lr: 5.000000e-04 eta: 2:27:24 time: 0.345757 data_time: 0.033157 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.895238 2023/08/10 00:27:34 - mmengine - INFO - Epoch(train) [133][260/327] lr: 5.000000e-04 eta: 2:27:20 time: 0.345688 data_time: 0.032856 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.954901 2023/08/10 00:27:37 - mmengine - INFO - Epoch(train) [133][270/327] lr: 5.000000e-04 eta: 2:27:17 time: 0.340881 data_time: 0.032621 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.915907 2023/08/10 00:27:41 - mmengine - INFO - Epoch(train) [133][280/327] lr: 5.000000e-04 eta: 2:27:13 time: 0.338154 data_time: 0.033101 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.867303 2023/08/10 00:27:44 - mmengine - INFO - Epoch(train) [133][290/327] lr: 5.000000e-04 eta: 2:27:10 time: 0.339723 data_time: 0.032949 memory: 4563 loss: 0.000626 loss_kpt: 0.000626 acc_pose: 0.829950 2023/08/10 00:27:48 - mmengine - INFO - Epoch(train) [133][300/327] lr: 5.000000e-04 eta: 2:27:06 time: 0.342970 data_time: 0.032679 memory: 4563 loss: 0.000625 loss_kpt: 0.000625 acc_pose: 0.866843 2023/08/10 00:27:51 - mmengine - INFO - Epoch(train) [133][310/327] lr: 5.000000e-04 eta: 2:27:03 time: 0.345016 data_time: 0.033382 memory: 4563 loss: 0.000614 loss_kpt: 0.000614 acc_pose: 0.910501 2023/08/10 00:27:55 - mmengine - INFO - Epoch(train) [133][320/327] lr: 5.000000e-04 eta: 2:26:59 time: 0.352450 data_time: 0.033659 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.932184 2023/08/10 00:27:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:28:01 - mmengine - INFO - Epoch(train) [134][ 10/327] lr: 5.000000e-04 eta: 2:26:53 time: 0.356549 data_time: 0.036836 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.946665 2023/08/10 00:28:04 - mmengine - INFO - Epoch(train) [134][ 20/327] lr: 5.000000e-04 eta: 2:26:50 time: 0.351561 data_time: 0.036766 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.904516 2023/08/10 00:28:08 - mmengine - INFO - Epoch(train) [134][ 30/327] lr: 5.000000e-04 eta: 2:26:46 time: 0.351272 data_time: 0.035597 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.891880 2023/08/10 00:28:11 - mmengine - INFO - Epoch(train) [134][ 40/327] lr: 5.000000e-04 eta: 2:26:43 time: 0.349017 data_time: 0.034616 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.956198 2023/08/10 00:28:15 - mmengine - INFO - Epoch(train) [134][ 50/327] lr: 5.000000e-04 eta: 2:26:39 time: 0.352102 data_time: 0.034793 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.962143 2023/08/10 00:28:19 - mmengine - INFO - Epoch(train) [134][ 60/327] lr: 5.000000e-04 eta: 2:26:36 time: 0.352162 data_time: 0.031056 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.946999 2023/08/10 00:28:22 - mmengine - INFO - Epoch(train) [134][ 70/327] lr: 5.000000e-04 eta: 2:26:32 time: 0.353946 data_time: 0.031535 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.864444 2023/08/10 00:28:26 - mmengine - INFO - Epoch(train) [134][ 80/327] lr: 5.000000e-04 eta: 2:26:29 time: 0.353565 data_time: 0.032047 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.853730 2023/08/10 00:28:29 - mmengine - INFO - Epoch(train) [134][ 90/327] lr: 5.000000e-04 eta: 2:26:25 time: 0.354969 data_time: 0.032038 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.934876 2023/08/10 00:28:33 - mmengine - INFO - Epoch(train) [134][100/327] lr: 5.000000e-04 eta: 2:26:22 time: 0.355637 data_time: 0.031927 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.914591 2023/08/10 00:28:36 - mmengine - INFO - Epoch(train) [134][110/327] lr: 5.000000e-04 eta: 2:26:19 time: 0.355350 data_time: 0.032269 memory: 4563 loss: 0.000607 loss_kpt: 0.000607 acc_pose: 0.870744 2023/08/10 00:28:40 - mmengine - INFO - Epoch(train) [134][120/327] lr: 5.000000e-04 eta: 2:26:15 time: 0.355388 data_time: 0.031894 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.914306 2023/08/10 00:28:43 - mmengine - INFO - Epoch(train) [134][130/327] lr: 5.000000e-04 eta: 2:26:11 time: 0.355404 data_time: 0.031555 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.860484 2023/08/10 00:28:47 - mmengine - INFO - Epoch(train) [134][140/327] lr: 5.000000e-04 eta: 2:26:08 time: 0.350503 data_time: 0.031506 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.897664 2023/08/10 00:28:50 - mmengine - INFO - Epoch(train) [134][150/327] lr: 5.000000e-04 eta: 2:26:04 time: 0.346742 data_time: 0.031279 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.883029 2023/08/10 00:28:54 - mmengine - INFO - Epoch(train) [134][160/327] lr: 5.000000e-04 eta: 2:26:01 time: 0.343743 data_time: 0.030594 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.923255 2023/08/10 00:28:57 - mmengine - INFO - Epoch(train) [134][170/327] lr: 5.000000e-04 eta: 2:25:57 time: 0.342616 data_time: 0.030487 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.945363 2023/08/10 00:29:01 - mmengine - INFO - Epoch(train) [134][180/327] lr: 5.000000e-04 eta: 2:25:54 time: 0.344794 data_time: 0.030606 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.922590 2023/08/10 00:29:04 - mmengine - INFO - Epoch(train) [134][190/327] lr: 5.000000e-04 eta: 2:25:50 time: 0.345278 data_time: 0.030844 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.886612 2023/08/10 00:29:08 - mmengine - INFO - Epoch(train) [134][200/327] lr: 5.000000e-04 eta: 2:25:47 time: 0.347871 data_time: 0.032329 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.932451 2023/08/10 00:29:11 - mmengine - INFO - Epoch(train) [134][210/327] lr: 5.000000e-04 eta: 2:25:43 time: 0.352540 data_time: 0.033228 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.877549 2023/08/10 00:29:15 - mmengine - INFO - Epoch(train) [134][220/327] lr: 5.000000e-04 eta: 2:25:40 time: 0.359536 data_time: 0.033746 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.936839 2023/08/10 00:29:19 - mmengine - INFO - Epoch(train) [134][230/327] lr: 5.000000e-04 eta: 2:25:37 time: 0.368756 data_time: 0.034206 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.883598 2023/08/10 00:29:23 - mmengine - INFO - Epoch(train) [134][240/327] lr: 5.000000e-04 eta: 2:25:34 time: 0.376294 data_time: 0.034834 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.947947 2023/08/10 00:29:26 - mmengine - INFO - Epoch(train) [134][250/327] lr: 5.000000e-04 eta: 2:25:30 time: 0.377407 data_time: 0.033955 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.951201 2023/08/10 00:29:30 - mmengine - INFO - Epoch(train) [134][260/327] lr: 5.000000e-04 eta: 2:25:27 time: 0.375540 data_time: 0.033324 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.941092 2023/08/10 00:29:34 - mmengine - INFO - Epoch(train) [134][270/327] lr: 5.000000e-04 eta: 2:25:23 time: 0.369768 data_time: 0.035779 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.927890 2023/08/10 00:29:37 - mmengine - INFO - Epoch(train) [134][280/327] lr: 5.000000e-04 eta: 2:25:20 time: 0.358212 data_time: 0.034957 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.918122 2023/08/10 00:29:40 - mmengine - INFO - Epoch(train) [134][290/327] lr: 5.000000e-04 eta: 2:25:16 time: 0.352740 data_time: 0.034098 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.939594 2023/08/10 00:29:44 - mmengine - INFO - Epoch(train) [134][300/327] lr: 5.000000e-04 eta: 2:25:13 time: 0.351331 data_time: 0.033917 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.905163 2023/08/10 00:29:48 - mmengine - INFO - Epoch(train) [134][310/327] lr: 5.000000e-04 eta: 2:25:09 time: 0.350394 data_time: 0.033949 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.836310 2023/08/10 00:29:51 - mmengine - INFO - Epoch(train) [134][320/327] lr: 5.000000e-04 eta: 2:25:06 time: 0.349658 data_time: 0.031414 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.964440 2023/08/10 00:29:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:29:57 - mmengine - INFO - Epoch(train) [135][ 10/327] lr: 5.000000e-04 eta: 2:25:00 time: 0.356953 data_time: 0.035464 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.907918 2023/08/10 00:30:01 - mmengine - INFO - Epoch(train) [135][ 20/327] lr: 5.000000e-04 eta: 2:24:56 time: 0.355917 data_time: 0.035645 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.918913 2023/08/10 00:30:04 - mmengine - INFO - Epoch(train) [135][ 30/327] lr: 5.000000e-04 eta: 2:24:53 time: 0.352338 data_time: 0.035273 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.932970 2023/08/10 00:30:08 - mmengine - INFO - Epoch(train) [135][ 40/327] lr: 5.000000e-04 eta: 2:24:49 time: 0.354954 data_time: 0.035417 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.957393 2023/08/10 00:30:11 - mmengine - INFO - Epoch(train) [135][ 50/327] lr: 5.000000e-04 eta: 2:24:46 time: 0.351372 data_time: 0.034865 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.877429 2023/08/10 00:30:15 - mmengine - INFO - Epoch(train) [135][ 60/327] lr: 5.000000e-04 eta: 2:24:42 time: 0.348895 data_time: 0.031210 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.923214 2023/08/10 00:30:18 - mmengine - INFO - Epoch(train) [135][ 70/327] lr: 5.000000e-04 eta: 2:24:39 time: 0.349736 data_time: 0.030901 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.934981 2023/08/10 00:30:22 - mmengine - INFO - Epoch(train) [135][ 80/327] lr: 5.000000e-04 eta: 2:24:35 time: 0.349822 data_time: 0.030920 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.925000 2023/08/10 00:30:25 - mmengine - INFO - Epoch(train) [135][ 90/327] lr: 5.000000e-04 eta: 2:24:32 time: 0.346486 data_time: 0.030668 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.908399 2023/08/10 00:30:29 - mmengine - INFO - Epoch(train) [135][100/327] lr: 5.000000e-04 eta: 2:24:28 time: 0.350421 data_time: 0.030912 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.949713 2023/08/10 00:30:32 - mmengine - INFO - Epoch(train) [135][110/327] lr: 5.000000e-04 eta: 2:24:25 time: 0.348738 data_time: 0.030568 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.948810 2023/08/10 00:30:36 - mmengine - INFO - Epoch(train) [135][120/327] lr: 5.000000e-04 eta: 2:24:21 time: 0.355649 data_time: 0.031280 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.963843 2023/08/10 00:30:39 - mmengine - INFO - Epoch(train) [135][130/327] lr: 5.000000e-04 eta: 2:24:18 time: 0.355221 data_time: 0.031318 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.859659 2023/08/10 00:30:43 - mmengine - INFO - Epoch(train) [135][140/327] lr: 5.000000e-04 eta: 2:24:14 time: 0.357849 data_time: 0.031739 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.911241 2023/08/10 00:30:46 - mmengine - INFO - Epoch(train) [135][150/327] lr: 5.000000e-04 eta: 2:24:11 time: 0.352561 data_time: 0.031380 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.895854 2023/08/10 00:30:50 - mmengine - INFO - Epoch(train) [135][160/327] lr: 5.000000e-04 eta: 2:24:07 time: 0.352242 data_time: 0.031456 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.919271 2023/08/10 00:30:53 - mmengine - INFO - Epoch(train) [135][170/327] lr: 5.000000e-04 eta: 2:24:04 time: 0.344438 data_time: 0.030857 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.882416 2023/08/10 00:30:57 - mmengine - INFO - Epoch(train) [135][180/327] lr: 5.000000e-04 eta: 2:24:00 time: 0.346802 data_time: 0.030971 memory: 4563 loss: 0.000599 loss_kpt: 0.000599 acc_pose: 0.857821 2023/08/10 00:30:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:31:00 - mmengine - INFO - Epoch(train) [135][190/327] lr: 5.000000e-04 eta: 2:23:57 time: 0.347031 data_time: 0.030644 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.904012 2023/08/10 00:31:04 - mmengine - INFO - Epoch(train) [135][200/327] lr: 5.000000e-04 eta: 2:23:53 time: 0.346990 data_time: 0.030755 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.899616 2023/08/10 00:31:07 - mmengine - INFO - Epoch(train) [135][210/327] lr: 5.000000e-04 eta: 2:23:50 time: 0.348062 data_time: 0.030915 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.957184 2023/08/10 00:31:11 - mmengine - INFO - Epoch(train) [135][220/327] lr: 5.000000e-04 eta: 2:23:46 time: 0.351670 data_time: 0.033835 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.920259 2023/08/10 00:31:14 - mmengine - INFO - Epoch(train) [135][230/327] lr: 5.000000e-04 eta: 2:23:43 time: 0.349024 data_time: 0.033550 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.917165 2023/08/10 00:31:18 - mmengine - INFO - Epoch(train) [135][240/327] lr: 5.000000e-04 eta: 2:23:39 time: 0.346090 data_time: 0.033488 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.922637 2023/08/10 00:31:21 - mmengine - INFO - Epoch(train) [135][250/327] lr: 5.000000e-04 eta: 2:23:36 time: 0.348920 data_time: 0.036551 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.914037 2023/08/10 00:31:25 - mmengine - INFO - Epoch(train) [135][260/327] lr: 5.000000e-04 eta: 2:23:32 time: 0.349376 data_time: 0.036816 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.966609 2023/08/10 00:31:28 - mmengine - INFO - Epoch(train) [135][270/327] lr: 5.000000e-04 eta: 2:23:29 time: 0.349298 data_time: 0.033898 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.955665 2023/08/10 00:31:32 - mmengine - INFO - Epoch(train) [135][280/327] lr: 5.000000e-04 eta: 2:23:25 time: 0.350896 data_time: 0.034154 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.915518 2023/08/10 00:31:35 - mmengine - INFO - Epoch(train) [135][290/327] lr: 5.000000e-04 eta: 2:23:22 time: 0.352135 data_time: 0.034008 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.925546 2023/08/10 00:31:39 - mmengine - INFO - Epoch(train) [135][300/327] lr: 5.000000e-04 eta: 2:23:18 time: 0.350914 data_time: 0.031149 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.981125 2023/08/10 00:31:42 - mmengine - INFO - Epoch(train) [135][310/327] lr: 5.000000e-04 eta: 2:23:15 time: 0.351257 data_time: 0.030434 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.906014 2023/08/10 00:31:46 - mmengine - INFO - Epoch(train) [135][320/327] lr: 5.000000e-04 eta: 2:23:11 time: 0.349890 data_time: 0.031304 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.873368 2023/08/10 00:31:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:31:52 - mmengine - INFO - Epoch(train) [136][ 10/327] lr: 5.000000e-04 eta: 2:23:05 time: 0.354560 data_time: 0.035218 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.938929 2023/08/10 00:31:55 - mmengine - INFO - Epoch(train) [136][ 20/327] lr: 5.000000e-04 eta: 2:23:02 time: 0.353064 data_time: 0.035316 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.983046 2023/08/10 00:31:59 - mmengine - INFO - Epoch(train) [136][ 30/327] lr: 5.000000e-04 eta: 2:22:58 time: 0.354147 data_time: 0.035604 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.972917 2023/08/10 00:32:02 - mmengine - INFO - Epoch(train) [136][ 40/327] lr: 5.000000e-04 eta: 2:22:55 time: 0.351776 data_time: 0.035071 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.922543 2023/08/10 00:32:06 - mmengine - INFO - Epoch(train) [136][ 50/327] lr: 5.000000e-04 eta: 2:22:51 time: 0.351533 data_time: 0.035580 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.908499 2023/08/10 00:32:09 - mmengine - INFO - Epoch(train) [136][ 60/327] lr: 5.000000e-04 eta: 2:22:48 time: 0.346683 data_time: 0.031043 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.962884 2023/08/10 00:32:13 - mmengine - INFO - Epoch(train) [136][ 70/327] lr: 5.000000e-04 eta: 2:22:44 time: 0.352371 data_time: 0.031314 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.927460 2023/08/10 00:32:17 - mmengine - INFO - Epoch(train) [136][ 80/327] lr: 5.000000e-04 eta: 2:22:41 time: 0.351422 data_time: 0.031218 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.904556 2023/08/10 00:32:20 - mmengine - INFO - Epoch(train) [136][ 90/327] lr: 5.000000e-04 eta: 2:22:37 time: 0.358151 data_time: 0.031698 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.922929 2023/08/10 00:32:24 - mmengine - INFO - Epoch(train) [136][100/327] lr: 5.000000e-04 eta: 2:22:34 time: 0.366176 data_time: 0.032038 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.924497 2023/08/10 00:32:28 - mmengine - INFO - Epoch(train) [136][110/327] lr: 5.000000e-04 eta: 2:22:31 time: 0.372628 data_time: 0.032149 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.939555 2023/08/10 00:32:32 - mmengine - INFO - Epoch(train) [136][120/327] lr: 5.000000e-04 eta: 2:22:27 time: 0.372749 data_time: 0.032304 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.959677 2023/08/10 00:32:35 - mmengine - INFO - Epoch(train) [136][130/327] lr: 5.000000e-04 eta: 2:22:24 time: 0.377736 data_time: 0.032978 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.956837 2023/08/10 00:32:39 - mmengine - INFO - Epoch(train) [136][140/327] lr: 5.000000e-04 eta: 2:22:21 time: 0.372992 data_time: 0.032670 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.983007 2023/08/10 00:32:42 - mmengine - INFO - Epoch(train) [136][150/327] lr: 5.000000e-04 eta: 2:22:17 time: 0.367447 data_time: 0.032618 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.892321 2023/08/10 00:32:46 - mmengine - INFO - Epoch(train) [136][160/327] lr: 5.000000e-04 eta: 2:22:14 time: 0.362989 data_time: 0.032345 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.899103 2023/08/10 00:32:49 - mmengine - INFO - Epoch(train) [136][170/327] lr: 5.000000e-04 eta: 2:22:10 time: 0.355701 data_time: 0.031750 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.893519 2023/08/10 00:32:53 - mmengine - INFO - Epoch(train) [136][180/327] lr: 5.000000e-04 eta: 2:22:07 time: 0.348419 data_time: 0.030962 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.895587 2023/08/10 00:32:56 - mmengine - INFO - Epoch(train) [136][190/327] lr: 5.000000e-04 eta: 2:22:03 time: 0.346244 data_time: 0.030589 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.949425 2023/08/10 00:33:00 - mmengine - INFO - Epoch(train) [136][200/327] lr: 5.000000e-04 eta: 2:22:00 time: 0.347447 data_time: 0.031116 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.886584 2023/08/10 00:33:03 - mmengine - INFO - Epoch(train) [136][210/327] lr: 5.000000e-04 eta: 2:21:56 time: 0.344596 data_time: 0.031632 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.935484 2023/08/10 00:33:07 - mmengine - INFO - Epoch(train) [136][220/327] lr: 5.000000e-04 eta: 2:21:52 time: 0.348116 data_time: 0.032437 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.940097 2023/08/10 00:33:10 - mmengine - INFO - Epoch(train) [136][230/327] lr: 5.000000e-04 eta: 2:21:49 time: 0.348993 data_time: 0.032391 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.848724 2023/08/10 00:33:14 - mmengine - INFO - Epoch(train) [136][240/327] lr: 5.000000e-04 eta: 2:21:45 time: 0.349763 data_time: 0.032414 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.942419 2023/08/10 00:33:17 - mmengine - INFO - Epoch(train) [136][250/327] lr: 5.000000e-04 eta: 2:21:42 time: 0.346920 data_time: 0.031509 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.914614 2023/08/10 00:33:21 - mmengine - INFO - Epoch(train) [136][260/327] lr: 5.000000e-04 eta: 2:21:38 time: 0.347049 data_time: 0.030921 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.957720 2023/08/10 00:33:24 - mmengine - INFO - Epoch(train) [136][270/327] lr: 5.000000e-04 eta: 2:21:35 time: 0.345790 data_time: 0.029965 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.931562 2023/08/10 00:33:28 - mmengine - INFO - Epoch(train) [136][280/327] lr: 5.000000e-04 eta: 2:21:31 time: 0.347469 data_time: 0.030217 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.914881 2023/08/10 00:33:31 - mmengine - INFO - Epoch(train) [136][290/327] lr: 5.000000e-04 eta: 2:21:28 time: 0.350547 data_time: 0.030683 memory: 4563 loss: 0.000597 loss_kpt: 0.000597 acc_pose: 0.855630 2023/08/10 00:33:35 - mmengine - INFO - Epoch(train) [136][300/327] lr: 5.000000e-04 eta: 2:21:24 time: 0.351827 data_time: 0.030773 memory: 4563 loss: 0.000616 loss_kpt: 0.000616 acc_pose: 0.927513 2023/08/10 00:33:38 - mmengine - INFO - Epoch(train) [136][310/327] lr: 5.000000e-04 eta: 2:21:21 time: 0.349961 data_time: 0.030768 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.892399 2023/08/10 00:33:42 - mmengine - INFO - Epoch(train) [136][320/327] lr: 5.000000e-04 eta: 2:21:17 time: 0.347788 data_time: 0.030900 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.925067 2023/08/10 00:33:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:33:48 - mmengine - INFO - Epoch(train) [137][ 10/327] lr: 5.000000e-04 eta: 2:21:11 time: 0.349214 data_time: 0.036492 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.936839 2023/08/10 00:33:51 - mmengine - INFO - Epoch(train) [137][ 20/327] lr: 5.000000e-04 eta: 2:21:08 time: 0.346895 data_time: 0.036536 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.898235 2023/08/10 00:33:55 - mmengine - INFO - Epoch(train) [137][ 30/327] lr: 5.000000e-04 eta: 2:21:04 time: 0.348705 data_time: 0.037490 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.950232 2023/08/10 00:33:58 - mmengine - INFO - Epoch(train) [137][ 40/327] lr: 5.000000e-04 eta: 2:21:01 time: 0.348905 data_time: 0.037323 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.975538 2023/08/10 00:34:02 - mmengine - INFO - Epoch(train) [137][ 50/327] lr: 5.000000e-04 eta: 2:20:57 time: 0.352616 data_time: 0.038063 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.949425 2023/08/10 00:34:05 - mmengine - INFO - Epoch(train) [137][ 60/327] lr: 5.000000e-04 eta: 2:20:54 time: 0.345864 data_time: 0.031772 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.885256 2023/08/10 00:34:08 - mmengine - INFO - Epoch(train) [137][ 70/327] lr: 5.000000e-04 eta: 2:20:50 time: 0.345303 data_time: 0.032215 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.936485 2023/08/10 00:34:12 - mmengine - INFO - Epoch(train) [137][ 80/327] lr: 5.000000e-04 eta: 2:20:47 time: 0.346282 data_time: 0.031225 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.939103 2023/08/10 00:34:16 - mmengine - INFO - Epoch(train) [137][ 90/327] lr: 5.000000e-04 eta: 2:20:43 time: 0.351185 data_time: 0.031981 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.919355 2023/08/10 00:34:19 - mmengine - INFO - Epoch(train) [137][100/327] lr: 5.000000e-04 eta: 2:20:40 time: 0.354165 data_time: 0.031957 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.940476 2023/08/10 00:34:23 - mmengine - INFO - Epoch(train) [137][110/327] lr: 5.000000e-04 eta: 2:20:36 time: 0.353430 data_time: 0.031626 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.916285 2023/08/10 00:34:26 - mmengine - INFO - Epoch(train) [137][120/327] lr: 5.000000e-04 eta: 2:20:33 time: 0.352093 data_time: 0.031016 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.919786 2023/08/10 00:34:29 - mmengine - INFO - Epoch(train) [137][130/327] lr: 5.000000e-04 eta: 2:20:29 time: 0.349253 data_time: 0.031111 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.947660 2023/08/10 00:34:33 - mmengine - INFO - Epoch(train) [137][140/327] lr: 5.000000e-04 eta: 2:20:26 time: 0.344872 data_time: 0.030410 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.897126 2023/08/10 00:34:36 - mmengine - INFO - Epoch(train) [137][150/327] lr: 5.000000e-04 eta: 2:20:22 time: 0.340867 data_time: 0.030417 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.843093 2023/08/10 00:34:40 - mmengine - INFO - Epoch(train) [137][160/327] lr: 5.000000e-04 eta: 2:20:19 time: 0.343677 data_time: 0.033578 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.844643 2023/08/10 00:34:43 - mmengine - INFO - Epoch(train) [137][170/327] lr: 5.000000e-04 eta: 2:20:15 time: 0.347040 data_time: 0.034772 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.915954 2023/08/10 00:34:47 - mmengine - INFO - Epoch(train) [137][180/327] lr: 5.000000e-04 eta: 2:20:12 time: 0.349133 data_time: 0.035057 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.931242 2023/08/10 00:34:50 - mmengine - INFO - Epoch(train) [137][190/327] lr: 5.000000e-04 eta: 2:20:08 time: 0.348928 data_time: 0.035108 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.939070 2023/08/10 00:34:54 - mmengine - INFO - Epoch(train) [137][200/327] lr: 5.000000e-04 eta: 2:20:05 time: 0.348252 data_time: 0.034948 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.833987 2023/08/10 00:34:57 - mmengine - INFO - Epoch(train) [137][210/327] lr: 5.000000e-04 eta: 2:20:01 time: 0.346321 data_time: 0.031866 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.891804 2023/08/10 00:35:01 - mmengine - INFO - Epoch(train) [137][220/327] lr: 5.000000e-04 eta: 2:19:58 time: 0.346086 data_time: 0.031295 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.948830 2023/08/10 00:35:04 - mmengine - INFO - Epoch(train) [137][230/327] lr: 5.000000e-04 eta: 2:19:54 time: 0.346799 data_time: 0.031898 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.926699 2023/08/10 00:35:08 - mmengine - INFO - Epoch(train) [137][240/327] lr: 5.000000e-04 eta: 2:19:51 time: 0.349103 data_time: 0.032241 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.907843 2023/08/10 00:35:11 - mmengine - INFO - Epoch(train) [137][250/327] lr: 5.000000e-04 eta: 2:19:47 time: 0.350650 data_time: 0.032238 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.940497 2023/08/10 00:35:15 - mmengine - INFO - Epoch(train) [137][260/327] lr: 5.000000e-04 eta: 2:19:44 time: 0.349321 data_time: 0.031767 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.939039 2023/08/10 00:35:18 - mmengine - INFO - Epoch(train) [137][270/327] lr: 5.000000e-04 eta: 2:19:40 time: 0.346426 data_time: 0.031312 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.911905 2023/08/10 00:35:21 - mmengine - INFO - Epoch(train) [137][280/327] lr: 5.000000e-04 eta: 2:19:36 time: 0.344266 data_time: 0.030314 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.957288 2023/08/10 00:35:25 - mmengine - INFO - Epoch(train) [137][290/327] lr: 5.000000e-04 eta: 2:19:33 time: 0.347175 data_time: 0.030469 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.922495 2023/08/10 00:35:29 - mmengine - INFO - Epoch(train) [137][300/327] lr: 5.000000e-04 eta: 2:19:30 time: 0.351840 data_time: 0.031214 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.906492 2023/08/10 00:35:33 - mmengine - INFO - Epoch(train) [137][310/327] lr: 5.000000e-04 eta: 2:19:26 time: 0.358399 data_time: 0.031703 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.919762 2023/08/10 00:35:36 - mmengine - INFO - Epoch(train) [137][320/327] lr: 5.000000e-04 eta: 2:19:23 time: 0.366408 data_time: 0.035056 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.943302 2023/08/10 00:35:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:35:43 - mmengine - INFO - Epoch(train) [138][ 10/327] lr: 5.000000e-04 eta: 2:19:17 time: 0.372104 data_time: 0.037902 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.981481 2023/08/10 00:35:46 - mmengine - INFO - Epoch(train) [138][ 20/327] lr: 5.000000e-04 eta: 2:19:13 time: 0.362382 data_time: 0.037152 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.874128 2023/08/10 00:35:50 - mmengine - INFO - Epoch(train) [138][ 30/327] lr: 5.000000e-04 eta: 2:19:10 time: 0.361512 data_time: 0.037066 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.973522 2023/08/10 00:35:53 - mmengine - INFO - Epoch(train) [138][ 40/327] lr: 5.000000e-04 eta: 2:19:06 time: 0.351718 data_time: 0.033756 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.910053 2023/08/10 00:35:56 - mmengine - INFO - Epoch(train) [138][ 50/327] lr: 5.000000e-04 eta: 2:19:03 time: 0.350085 data_time: 0.035133 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.928571 2023/08/10 00:36:00 - mmengine - INFO - Epoch(train) [138][ 60/327] lr: 5.000000e-04 eta: 2:18:59 time: 0.343414 data_time: 0.030878 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.917473 2023/08/10 00:36:03 - mmengine - INFO - Epoch(train) [138][ 70/327] lr: 5.000000e-04 eta: 2:18:56 time: 0.343727 data_time: 0.030957 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.935165 2023/08/10 00:36:07 - mmengine - INFO - Epoch(train) [138][ 80/327] lr: 5.000000e-04 eta: 2:18:52 time: 0.339802 data_time: 0.031154 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.921693 2023/08/10 00:36:10 - mmengine - INFO - Epoch(train) [138][ 90/327] lr: 5.000000e-04 eta: 2:18:49 time: 0.339175 data_time: 0.030988 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.890064 2023/08/10 00:36:13 - mmengine - INFO - Epoch(train) [138][100/327] lr: 5.000000e-04 eta: 2:18:45 time: 0.340110 data_time: 0.031117 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.909925 2023/08/10 00:36:17 - mmengine - INFO - Epoch(train) [138][110/327] lr: 5.000000e-04 eta: 2:18:42 time: 0.340847 data_time: 0.031720 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.984123 2023/08/10 00:36:20 - mmengine - INFO - Epoch(train) [138][120/327] lr: 5.000000e-04 eta: 2:18:38 time: 0.340652 data_time: 0.031991 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.933815 2023/08/10 00:36:23 - mmengine - INFO - Epoch(train) [138][130/327] lr: 5.000000e-04 eta: 2:18:34 time: 0.339192 data_time: 0.031524 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.939555 2023/08/10 00:36:27 - mmengine - INFO - Epoch(train) [138][140/327] lr: 5.000000e-04 eta: 2:18:31 time: 0.340196 data_time: 0.031536 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.955737 2023/08/10 00:36:30 - mmengine - INFO - Epoch(train) [138][150/327] lr: 5.000000e-04 eta: 2:18:27 time: 0.338923 data_time: 0.031012 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.925318 2023/08/10 00:36:34 - mmengine - INFO - Epoch(train) [138][160/327] lr: 5.000000e-04 eta: 2:18:24 time: 0.339060 data_time: 0.031090 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.898851 2023/08/10 00:36:37 - mmengine - INFO - Epoch(train) [138][170/327] lr: 5.000000e-04 eta: 2:18:20 time: 0.344592 data_time: 0.031076 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.917204 2023/08/10 00:36:41 - mmengine - INFO - Epoch(train) [138][180/327] lr: 5.000000e-04 eta: 2:18:17 time: 0.355223 data_time: 0.031984 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.905978 2023/08/10 00:36:45 - mmengine - INFO - Epoch(train) [138][190/327] lr: 5.000000e-04 eta: 2:18:14 time: 0.357983 data_time: 0.032174 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.941342 2023/08/10 00:36:48 - mmengine - INFO - Epoch(train) [138][200/327] lr: 5.000000e-04 eta: 2:18:10 time: 0.356483 data_time: 0.032398 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.893799 2023/08/10 00:36:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:36:52 - mmengine - INFO - Epoch(train) [138][210/327] lr: 5.000000e-04 eta: 2:18:07 time: 0.359713 data_time: 0.035429 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.902203 2023/08/10 00:36:55 - mmengine - INFO - Epoch(train) [138][220/327] lr: 5.000000e-04 eta: 2:18:03 time: 0.353403 data_time: 0.035048 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.972222 2023/08/10 00:36:58 - mmengine - INFO - Epoch(train) [138][230/327] lr: 5.000000e-04 eta: 2:17:59 time: 0.343734 data_time: 0.034402 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.914525 2023/08/10 00:37:02 - mmengine - INFO - Epoch(train) [138][240/327] lr: 5.000000e-04 eta: 2:17:56 time: 0.341722 data_time: 0.034631 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.886392 2023/08/10 00:37:05 - mmengine - INFO - Epoch(train) [138][250/327] lr: 5.000000e-04 eta: 2:17:52 time: 0.342561 data_time: 0.034685 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.865046 2023/08/10 00:37:09 - mmengine - INFO - Epoch(train) [138][260/327] lr: 5.000000e-04 eta: 2:17:49 time: 0.342307 data_time: 0.032625 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.939527 2023/08/10 00:37:13 - mmengine - INFO - Epoch(train) [138][270/327] lr: 5.000000e-04 eta: 2:17:45 time: 0.348909 data_time: 0.032782 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.949616 2023/08/10 00:37:16 - mmengine - INFO - Epoch(train) [138][280/327] lr: 5.000000e-04 eta: 2:17:42 time: 0.350131 data_time: 0.032666 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.924080 2023/08/10 00:37:20 - mmengine - INFO - Epoch(train) [138][290/327] lr: 5.000000e-04 eta: 2:17:38 time: 0.351499 data_time: 0.033043 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.903633 2023/08/10 00:37:23 - mmengine - INFO - Epoch(train) [138][300/327] lr: 5.000000e-04 eta: 2:17:35 time: 0.352622 data_time: 0.033389 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.914922 2023/08/10 00:37:26 - mmengine - INFO - Epoch(train) [138][310/327] lr: 5.000000e-04 eta: 2:17:31 time: 0.351873 data_time: 0.032609 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.867075 2023/08/10 00:37:30 - mmengine - INFO - Epoch(train) [138][320/327] lr: 5.000000e-04 eta: 2:17:28 time: 0.347797 data_time: 0.032628 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.900652 2023/08/10 00:37:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:37:36 - mmengine - INFO - Epoch(train) [139][ 10/327] lr: 5.000000e-04 eta: 2:17:22 time: 0.348605 data_time: 0.035648 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.964103 2023/08/10 00:37:39 - mmengine - INFO - Epoch(train) [139][ 20/327] lr: 5.000000e-04 eta: 2:17:18 time: 0.347823 data_time: 0.035050 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.929187 2023/08/10 00:37:43 - mmengine - INFO - Epoch(train) [139][ 30/327] lr: 5.000000e-04 eta: 2:17:15 time: 0.347167 data_time: 0.034855 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.872065 2023/08/10 00:37:46 - mmengine - INFO - Epoch(train) [139][ 40/327] lr: 5.000000e-04 eta: 2:17:11 time: 0.346092 data_time: 0.034612 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.881339 2023/08/10 00:37:50 - mmengine - INFO - Epoch(train) [139][ 50/327] lr: 5.000000e-04 eta: 2:17:08 time: 0.348663 data_time: 0.035560 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.925538 2023/08/10 00:37:53 - mmengine - INFO - Epoch(train) [139][ 60/327] lr: 5.000000e-04 eta: 2:17:04 time: 0.346596 data_time: 0.031516 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.940348 2023/08/10 00:37:57 - mmengine - INFO - Epoch(train) [139][ 70/327] lr: 5.000000e-04 eta: 2:17:01 time: 0.347317 data_time: 0.031884 memory: 4563 loss: 0.000608 loss_kpt: 0.000608 acc_pose: 0.883222 2023/08/10 00:38:00 - mmengine - INFO - Epoch(train) [139][ 80/327] lr: 5.000000e-04 eta: 2:16:57 time: 0.346505 data_time: 0.032114 memory: 4563 loss: 0.000611 loss_kpt: 0.000611 acc_pose: 0.931281 2023/08/10 00:38:04 - mmengine - INFO - Epoch(train) [139][ 90/327] lr: 5.000000e-04 eta: 2:16:54 time: 0.346753 data_time: 0.031964 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.901344 2023/08/10 00:38:07 - mmengine - INFO - Epoch(train) [139][100/327] lr: 5.000000e-04 eta: 2:16:50 time: 0.344573 data_time: 0.031308 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.880622 2023/08/10 00:38:11 - mmengine - INFO - Epoch(train) [139][110/327] lr: 5.000000e-04 eta: 2:16:47 time: 0.346162 data_time: 0.031495 memory: 4563 loss: 0.000595 loss_kpt: 0.000595 acc_pose: 0.947861 2023/08/10 00:38:14 - mmengine - INFO - Epoch(train) [139][120/327] lr: 5.000000e-04 eta: 2:16:43 time: 0.352083 data_time: 0.031446 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.826099 2023/08/10 00:38:18 - mmengine - INFO - Epoch(train) [139][130/327] lr: 5.000000e-04 eta: 2:16:40 time: 0.355386 data_time: 0.031436 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.937383 2023/08/10 00:38:22 - mmengine - INFO - Epoch(train) [139][140/327] lr: 5.000000e-04 eta: 2:16:36 time: 0.359267 data_time: 0.034965 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.948235 2023/08/10 00:38:25 - mmengine - INFO - Epoch(train) [139][150/327] lr: 5.000000e-04 eta: 2:16:33 time: 0.359392 data_time: 0.034813 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.921490 2023/08/10 00:38:28 - mmengine - INFO - Epoch(train) [139][160/327] lr: 5.000000e-04 eta: 2:16:29 time: 0.356210 data_time: 0.035575 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.974138 2023/08/10 00:38:32 - mmengine - INFO - Epoch(train) [139][170/327] lr: 5.000000e-04 eta: 2:16:26 time: 0.350277 data_time: 0.035714 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.973810 2023/08/10 00:38:35 - mmengine - INFO - Epoch(train) [139][180/327] lr: 5.000000e-04 eta: 2:16:22 time: 0.348036 data_time: 0.035646 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.946736 2023/08/10 00:38:39 - mmengine - INFO - Epoch(train) [139][190/327] lr: 5.000000e-04 eta: 2:16:19 time: 0.346466 data_time: 0.032520 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.937963 2023/08/10 00:38:42 - mmengine - INFO - Epoch(train) [139][200/327] lr: 5.000000e-04 eta: 2:16:15 time: 0.346808 data_time: 0.032748 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.883799 2023/08/10 00:38:46 - mmengine - INFO - Epoch(train) [139][210/327] lr: 5.000000e-04 eta: 2:16:12 time: 0.345319 data_time: 0.031750 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.932759 2023/08/10 00:38:49 - mmengine - INFO - Epoch(train) [139][220/327] lr: 5.000000e-04 eta: 2:16:08 time: 0.348641 data_time: 0.031256 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.944504 2023/08/10 00:38:53 - mmengine - INFO - Epoch(train) [139][230/327] lr: 5.000000e-04 eta: 2:16:05 time: 0.355007 data_time: 0.031049 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.916258 2023/08/10 00:38:57 - mmengine - INFO - Epoch(train) [139][240/327] lr: 5.000000e-04 eta: 2:16:01 time: 0.360068 data_time: 0.031198 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.878862 2023/08/10 00:39:00 - mmengine - INFO - Epoch(train) [139][250/327] lr: 5.000000e-04 eta: 2:15:58 time: 0.363926 data_time: 0.031472 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.922052 2023/08/10 00:39:04 - mmengine - INFO - Epoch(train) [139][260/327] lr: 5.000000e-04 eta: 2:15:55 time: 0.364973 data_time: 0.031473 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.956093 2023/08/10 00:39:08 - mmengine - INFO - Epoch(train) [139][270/327] lr: 5.000000e-04 eta: 2:15:51 time: 0.366034 data_time: 0.031837 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.861453 2023/08/10 00:39:11 - mmengine - INFO - Epoch(train) [139][280/327] lr: 5.000000e-04 eta: 2:15:48 time: 0.358545 data_time: 0.031532 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.882115 2023/08/10 00:39:14 - mmengine - INFO - Epoch(train) [139][290/327] lr: 5.000000e-04 eta: 2:15:44 time: 0.350946 data_time: 0.031055 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.931880 2023/08/10 00:39:18 - mmengine - INFO - Epoch(train) [139][300/327] lr: 5.000000e-04 eta: 2:15:40 time: 0.348002 data_time: 0.030561 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.880357 2023/08/10 00:39:21 - mmengine - INFO - Epoch(train) [139][310/327] lr: 5.000000e-04 eta: 2:15:37 time: 0.347510 data_time: 0.030833 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.900000 2023/08/10 00:39:25 - mmengine - INFO - Epoch(train) [139][320/327] lr: 5.000000e-04 eta: 2:15:33 time: 0.345644 data_time: 0.031196 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.927134 2023/08/10 00:39:27 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:39:31 - mmengine - INFO - Epoch(train) [140][ 10/327] lr: 5.000000e-04 eta: 2:15:28 time: 0.350076 data_time: 0.034860 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.922024 2023/08/10 00:39:34 - mmengine - INFO - Epoch(train) [140][ 20/327] lr: 5.000000e-04 eta: 2:15:24 time: 0.349307 data_time: 0.035070 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.865230 2023/08/10 00:39:38 - mmengine - INFO - Epoch(train) [140][ 30/327] lr: 5.000000e-04 eta: 2:15:21 time: 0.350611 data_time: 0.037904 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.902688 2023/08/10 00:39:41 - mmengine - INFO - Epoch(train) [140][ 40/327] lr: 5.000000e-04 eta: 2:15:17 time: 0.347311 data_time: 0.037008 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.937454 2023/08/10 00:39:45 - mmengine - INFO - Epoch(train) [140][ 50/327] lr: 5.000000e-04 eta: 2:15:13 time: 0.347436 data_time: 0.037235 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.916898 2023/08/10 00:39:48 - mmengine - INFO - Epoch(train) [140][ 60/327] lr: 5.000000e-04 eta: 2:15:10 time: 0.343269 data_time: 0.033251 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.939488 2023/08/10 00:39:52 - mmengine - INFO - Epoch(train) [140][ 70/327] lr: 5.000000e-04 eta: 2:15:06 time: 0.345044 data_time: 0.033360 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.900919 2023/08/10 00:39:55 - mmengine - INFO - Epoch(train) [140][ 80/327] lr: 5.000000e-04 eta: 2:15:03 time: 0.344256 data_time: 0.031003 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.900154 2023/08/10 00:39:58 - mmengine - INFO - Epoch(train) [140][ 90/327] lr: 5.000000e-04 eta: 2:14:59 time: 0.343938 data_time: 0.031013 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.903172 2023/08/10 00:40:02 - mmengine - INFO - Epoch(train) [140][100/327] lr: 5.000000e-04 eta: 2:14:56 time: 0.344290 data_time: 0.031470 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.908557 2023/08/10 00:40:05 - mmengine - INFO - Epoch(train) [140][110/327] lr: 5.000000e-04 eta: 2:14:52 time: 0.343029 data_time: 0.031777 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.968246 2023/08/10 00:40:09 - mmengine - INFO - Epoch(train) [140][120/327] lr: 5.000000e-04 eta: 2:14:49 time: 0.342192 data_time: 0.032227 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.864212 2023/08/10 00:40:12 - mmengine - INFO - Epoch(train) [140][130/327] lr: 5.000000e-04 eta: 2:14:45 time: 0.340927 data_time: 0.032150 memory: 4563 loss: 0.000605 loss_kpt: 0.000605 acc_pose: 0.908333 2023/08/10 00:40:16 - mmengine - INFO - Epoch(train) [140][140/327] lr: 5.000000e-04 eta: 2:14:42 time: 0.343980 data_time: 0.032206 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.973787 2023/08/10 00:40:19 - mmengine - INFO - Epoch(train) [140][150/327] lr: 5.000000e-04 eta: 2:14:38 time: 0.346007 data_time: 0.032343 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.883267 2023/08/10 00:40:23 - mmengine - INFO - Epoch(train) [140][160/327] lr: 5.000000e-04 eta: 2:14:35 time: 0.346730 data_time: 0.031853 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.965517 2023/08/10 00:40:26 - mmengine - INFO - Epoch(train) [140][170/327] lr: 5.000000e-04 eta: 2:14:31 time: 0.353126 data_time: 0.031242 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.912107 2023/08/10 00:40:30 - mmengine - INFO - Epoch(train) [140][180/327] lr: 5.000000e-04 eta: 2:14:28 time: 0.352737 data_time: 0.030728 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.929670 2023/08/10 00:40:33 - mmengine - INFO - Epoch(train) [140][190/327] lr: 5.000000e-04 eta: 2:14:24 time: 0.350357 data_time: 0.030628 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.916774 2023/08/10 00:40:37 - mmengine - INFO - Epoch(train) [140][200/327] lr: 5.000000e-04 eta: 2:14:21 time: 0.349743 data_time: 0.030239 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.831154 2023/08/10 00:40:40 - mmengine - INFO - Epoch(train) [140][210/327] lr: 5.000000e-04 eta: 2:14:17 time: 0.351113 data_time: 0.030596 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.901124 2023/08/10 00:40:44 - mmengine - INFO - Epoch(train) [140][220/327] lr: 5.000000e-04 eta: 2:14:14 time: 0.345908 data_time: 0.030718 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.856250 2023/08/10 00:40:47 - mmengine - INFO - Epoch(train) [140][230/327] lr: 5.000000e-04 eta: 2:14:10 time: 0.346678 data_time: 0.030674 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.911946 2023/08/10 00:40:51 - mmengine - INFO - Epoch(train) [140][240/327] lr: 5.000000e-04 eta: 2:14:07 time: 0.347747 data_time: 0.030744 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.855729 2023/08/10 00:40:54 - mmengine - INFO - Epoch(train) [140][250/327] lr: 5.000000e-04 eta: 2:14:03 time: 0.347493 data_time: 0.030593 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.954901 2023/08/10 00:40:58 - mmengine - INFO - Epoch(train) [140][260/327] lr: 5.000000e-04 eta: 2:14:00 time: 0.348236 data_time: 0.030738 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.944240 2023/08/10 00:41:01 - mmengine - INFO - Epoch(train) [140][270/327] lr: 5.000000e-04 eta: 2:13:56 time: 0.346916 data_time: 0.030741 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.939103 2023/08/10 00:41:05 - mmengine - INFO - Epoch(train) [140][280/327] lr: 5.000000e-04 eta: 2:13:53 time: 0.353112 data_time: 0.031162 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.971154 2023/08/10 00:41:08 - mmengine - INFO - Epoch(train) [140][290/327] lr: 5.000000e-04 eta: 2:13:49 time: 0.353011 data_time: 0.031751 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.964810 2023/08/10 00:41:12 - mmengine - INFO - Epoch(train) [140][300/327] lr: 5.000000e-04 eta: 2:13:46 time: 0.352211 data_time: 0.032497 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.940704 2023/08/10 00:41:15 - mmengine - INFO - Epoch(train) [140][310/327] lr: 5.000000e-04 eta: 2:13:42 time: 0.352840 data_time: 0.035609 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.932561 2023/08/10 00:41:19 - mmengine - INFO - Epoch(train) [140][320/327] lr: 5.000000e-04 eta: 2:13:39 time: 0.352613 data_time: 0.036154 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.881048 2023/08/10 00:41:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:41:21 - mmengine - INFO - Saving checkpoint at 140 epochs 2023/08/10 00:41:27 - mmengine - INFO - Epoch(val) [140][10/79] eta: 0:00:14 time: 0.195665 data_time: 0.012954 memory: 4563 2023/08/10 00:41:29 - mmengine - INFO - Epoch(val) [140][20/79] eta: 0:00:11 time: 0.195441 data_time: 0.012839 memory: 1634 2023/08/10 00:41:31 - mmengine - INFO - Epoch(val) [140][30/79] eta: 0:00:09 time: 0.196190 data_time: 0.013385 memory: 1634 2023/08/10 00:41:33 - mmengine - INFO - Epoch(val) [140][40/79] eta: 0:00:07 time: 0.196461 data_time: 0.013724 memory: 1634 2023/08/10 00:41:35 - mmengine - INFO - Epoch(val) [140][50/79] eta: 0:00:05 time: 0.198181 data_time: 0.013967 memory: 1634 2023/08/10 00:41:37 - mmengine - INFO - Epoch(val) [140][60/79] eta: 0:00:03 time: 0.195575 data_time: 0.011947 memory: 1634 2023/08/10 00:41:38 - mmengine - INFO - Epoch(val) [140][70/79] eta: 0:00:01 time: 0.195609 data_time: 0.012148 memory: 1634 2023/08/10 00:41:40 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 00:41:40 - mmengine - INFO - Evaluating AUC... 2023/08/10 00:41:41 - mmengine - INFO - Evaluating EPE... 2023/08/10 00:41:41 - mmengine - INFO - Epoch(val) [140][79/79] PCK: 0.976541 AUC: 0.757043 EPE: 9.074756 data_time: 0.013017 time: 0.194459 2023/08/10 00:41:44 - mmengine - INFO - Epoch(train) [141][ 10/327] lr: 5.000000e-04 eta: 2:13:33 time: 0.345023 data_time: 0.038485 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.886040 2023/08/10 00:41:47 - mmengine - INFO - Epoch(train) [141][ 20/327] lr: 5.000000e-04 eta: 2:13:29 time: 0.343000 data_time: 0.037692 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.946075 2023/08/10 00:41:51 - mmengine - INFO - Epoch(train) [141][ 30/327] lr: 5.000000e-04 eta: 2:13:25 time: 0.339641 data_time: 0.034947 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.946935 2023/08/10 00:41:54 - mmengine - INFO - Epoch(train) [141][ 40/327] lr: 5.000000e-04 eta: 2:13:22 time: 0.337982 data_time: 0.034578 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.852730 2023/08/10 00:41:57 - mmengine - INFO - Epoch(train) [141][ 50/327] lr: 5.000000e-04 eta: 2:13:18 time: 0.337767 data_time: 0.035117 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.929004 2023/08/10 00:42:01 - mmengine - INFO - Epoch(train) [141][ 60/327] lr: 5.000000e-04 eta: 2:13:15 time: 0.332993 data_time: 0.031212 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.872229 2023/08/10 00:42:04 - mmengine - INFO - Epoch(train) [141][ 70/327] lr: 5.000000e-04 eta: 2:13:11 time: 0.337681 data_time: 0.034213 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.879785 2023/08/10 00:42:08 - mmengine - INFO - Epoch(train) [141][ 80/327] lr: 5.000000e-04 eta: 2:13:07 time: 0.335473 data_time: 0.033459 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.889171 2023/08/10 00:42:11 - mmengine - INFO - Epoch(train) [141][ 90/327] lr: 5.000000e-04 eta: 2:13:04 time: 0.335618 data_time: 0.032937 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.912798 2023/08/10 00:42:14 - mmengine - INFO - Epoch(train) [141][100/327] lr: 5.000000e-04 eta: 2:13:00 time: 0.337050 data_time: 0.033270 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.957759 2023/08/10 00:42:18 - mmengine - INFO - Epoch(train) [141][110/327] lr: 5.000000e-04 eta: 2:12:57 time: 0.338316 data_time: 0.033343 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.940166 2023/08/10 00:42:21 - mmengine - INFO - Epoch(train) [141][120/327] lr: 5.000000e-04 eta: 2:12:53 time: 0.333720 data_time: 0.030397 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.914786 2023/08/10 00:42:24 - mmengine - INFO - Epoch(train) [141][130/327] lr: 5.000000e-04 eta: 2:12:50 time: 0.334165 data_time: 0.030377 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.895678 2023/08/10 00:42:28 - mmengine - INFO - Epoch(train) [141][140/327] lr: 5.000000e-04 eta: 2:12:46 time: 0.333057 data_time: 0.030340 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.953704 2023/08/10 00:42:31 - mmengine - INFO - Epoch(train) [141][150/327] lr: 5.000000e-04 eta: 2:12:42 time: 0.331497 data_time: 0.029970 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.939228 2023/08/10 00:42:34 - mmengine - INFO - Epoch(train) [141][160/327] lr: 5.000000e-04 eta: 2:12:39 time: 0.330947 data_time: 0.030028 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.974981 2023/08/10 00:42:38 - mmengine - INFO - Epoch(train) [141][170/327] lr: 5.000000e-04 eta: 2:12:35 time: 0.333298 data_time: 0.030393 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.909435 2023/08/10 00:42:41 - mmengine - INFO - Epoch(train) [141][180/327] lr: 5.000000e-04 eta: 2:12:32 time: 0.335700 data_time: 0.030998 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.955973 2023/08/10 00:42:44 - mmengine - INFO - Epoch(train) [141][190/327] lr: 5.000000e-04 eta: 2:12:28 time: 0.337162 data_time: 0.031148 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.884026 2023/08/10 00:42:48 - mmengine - INFO - Epoch(train) [141][200/327] lr: 5.000000e-04 eta: 2:12:25 time: 0.339655 data_time: 0.031105 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.912562 2023/08/10 00:42:51 - mmengine - INFO - Epoch(train) [141][210/327] lr: 5.000000e-04 eta: 2:12:21 time: 0.339681 data_time: 0.031060 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.933871 2023/08/10 00:42:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:42:55 - mmengine - INFO - Epoch(train) [141][220/327] lr: 5.000000e-04 eta: 2:12:17 time: 0.339601 data_time: 0.033552 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.896244 2023/08/10 00:42:58 - mmengine - INFO - Epoch(train) [141][230/327] lr: 5.000000e-04 eta: 2:12:14 time: 0.340722 data_time: 0.033229 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.963599 2023/08/10 00:43:02 - mmengine - INFO - Epoch(train) [141][240/327] lr: 5.000000e-04 eta: 2:12:10 time: 0.342483 data_time: 0.033297 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.958565 2023/08/10 00:43:05 - mmengine - INFO - Epoch(train) [141][250/327] lr: 5.000000e-04 eta: 2:12:07 time: 0.341590 data_time: 0.033351 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.868467 2023/08/10 00:43:08 - mmengine - INFO - Epoch(train) [141][260/327] lr: 5.000000e-04 eta: 2:12:03 time: 0.345402 data_time: 0.033712 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.851709 2023/08/10 00:43:12 - mmengine - INFO - Epoch(train) [141][270/327] lr: 5.000000e-04 eta: 2:12:00 time: 0.344609 data_time: 0.031434 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.878965 2023/08/10 00:43:15 - mmengine - INFO - Epoch(train) [141][280/327] lr: 5.000000e-04 eta: 2:11:56 time: 0.340948 data_time: 0.031172 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.938424 2023/08/10 00:43:18 - mmengine - INFO - Epoch(train) [141][290/327] lr: 5.000000e-04 eta: 2:11:53 time: 0.337547 data_time: 0.030822 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.956221 2023/08/10 00:43:22 - mmengine - INFO - Epoch(train) [141][300/327] lr: 5.000000e-04 eta: 2:11:49 time: 0.336820 data_time: 0.030874 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.850255 2023/08/10 00:43:25 - mmengine - INFO - Epoch(train) [141][310/327] lr: 5.000000e-04 eta: 2:11:45 time: 0.333788 data_time: 0.030975 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.913752 2023/08/10 00:43:29 - mmengine - INFO - Epoch(train) [141][320/327] lr: 5.000000e-04 eta: 2:11:42 time: 0.333009 data_time: 0.031069 memory: 4563 loss: 0.000603 loss_kpt: 0.000603 acc_pose: 0.942940 2023/08/10 00:43:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:43:35 - mmengine - INFO - Epoch(train) [142][ 10/327] lr: 5.000000e-04 eta: 2:11:36 time: 0.341688 data_time: 0.035189 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.914302 2023/08/10 00:43:38 - mmengine - INFO - Epoch(train) [142][ 20/327] lr: 5.000000e-04 eta: 2:11:32 time: 0.341260 data_time: 0.035582 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.923715 2023/08/10 00:43:41 - mmengine - INFO - Epoch(train) [142][ 30/327] lr: 5.000000e-04 eta: 2:11:29 time: 0.340642 data_time: 0.035586 memory: 4563 loss: 0.000619 loss_kpt: 0.000619 acc_pose: 0.842742 2023/08/10 00:43:45 - mmengine - INFO - Epoch(train) [142][ 40/327] lr: 5.000000e-04 eta: 2:11:25 time: 0.341133 data_time: 0.035170 memory: 4563 loss: 0.000602 loss_kpt: 0.000602 acc_pose: 0.933046 2023/08/10 00:43:48 - mmengine - INFO - Epoch(train) [142][ 50/327] lr: 5.000000e-04 eta: 2:11:22 time: 0.341876 data_time: 0.035709 memory: 4563 loss: 0.000604 loss_kpt: 0.000604 acc_pose: 0.912432 2023/08/10 00:43:52 - mmengine - INFO - Epoch(train) [142][ 60/327] lr: 5.000000e-04 eta: 2:11:18 time: 0.338111 data_time: 0.031424 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.923276 2023/08/10 00:43:55 - mmengine - INFO - Epoch(train) [142][ 70/327] lr: 5.000000e-04 eta: 2:11:15 time: 0.342507 data_time: 0.034554 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.936895 2023/08/10 00:43:58 - mmengine - INFO - Epoch(train) [142][ 80/327] lr: 5.000000e-04 eta: 2:11:11 time: 0.342173 data_time: 0.034227 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.974713 2023/08/10 00:44:02 - mmengine - INFO - Epoch(train) [142][ 90/327] lr: 5.000000e-04 eta: 2:11:08 time: 0.339772 data_time: 0.033757 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.894684 2023/08/10 00:44:05 - mmengine - INFO - Epoch(train) [142][100/327] lr: 5.000000e-04 eta: 2:11:04 time: 0.335197 data_time: 0.033497 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.887518 2023/08/10 00:44:08 - mmengine - INFO - Epoch(train) [142][110/327] lr: 5.000000e-04 eta: 2:11:00 time: 0.333738 data_time: 0.033354 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.965189 2023/08/10 00:44:12 - mmengine - INFO - Epoch(train) [142][120/327] lr: 5.000000e-04 eta: 2:10:57 time: 0.329743 data_time: 0.029933 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.869766 2023/08/10 00:44:15 - mmengine - INFO - Epoch(train) [142][130/327] lr: 5.000000e-04 eta: 2:10:53 time: 0.331157 data_time: 0.030178 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.910977 2023/08/10 00:44:19 - mmengine - INFO - Epoch(train) [142][140/327] lr: 5.000000e-04 eta: 2:10:50 time: 0.338110 data_time: 0.030495 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.947261 2023/08/10 00:44:22 - mmengine - INFO - Epoch(train) [142][150/327] lr: 5.000000e-04 eta: 2:10:46 time: 0.339722 data_time: 0.030977 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.900149 2023/08/10 00:44:25 - mmengine - INFO - Epoch(train) [142][160/327] lr: 5.000000e-04 eta: 2:10:43 time: 0.339932 data_time: 0.031134 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.912562 2023/08/10 00:44:29 - mmengine - INFO - Epoch(train) [142][170/327] lr: 5.000000e-04 eta: 2:10:39 time: 0.339560 data_time: 0.031025 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.941551 2023/08/10 00:44:32 - mmengine - INFO - Epoch(train) [142][180/327] lr: 5.000000e-04 eta: 2:10:35 time: 0.340087 data_time: 0.030770 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.899926 2023/08/10 00:44:35 - mmengine - INFO - Epoch(train) [142][190/327] lr: 5.000000e-04 eta: 2:10:32 time: 0.335967 data_time: 0.030697 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.957949 2023/08/10 00:44:39 - mmengine - INFO - Epoch(train) [142][200/327] lr: 5.000000e-04 eta: 2:10:28 time: 0.336701 data_time: 0.030442 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.933871 2023/08/10 00:44:42 - mmengine - INFO - Epoch(train) [142][210/327] lr: 5.000000e-04 eta: 2:10:25 time: 0.337730 data_time: 0.030432 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.881351 2023/08/10 00:44:45 - mmengine - INFO - Epoch(train) [142][220/327] lr: 5.000000e-04 eta: 2:10:21 time: 0.338551 data_time: 0.030503 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.903239 2023/08/10 00:44:49 - mmengine - INFO - Epoch(train) [142][230/327] lr: 5.000000e-04 eta: 2:10:18 time: 0.337296 data_time: 0.030518 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.915517 2023/08/10 00:44:52 - mmengine - INFO - Epoch(train) [142][240/327] lr: 5.000000e-04 eta: 2:10:14 time: 0.334884 data_time: 0.030243 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.874702 2023/08/10 00:44:55 - mmengine - INFO - Epoch(train) [142][250/327] lr: 5.000000e-04 eta: 2:10:10 time: 0.334827 data_time: 0.029972 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.915682 2023/08/10 00:44:59 - mmengine - INFO - Epoch(train) [142][260/327] lr: 5.000000e-04 eta: 2:10:07 time: 0.334704 data_time: 0.029727 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.915984 2023/08/10 00:45:02 - mmengine - INFO - Epoch(train) [142][270/327] lr: 5.000000e-04 eta: 2:10:03 time: 0.335488 data_time: 0.029828 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.845597 2023/08/10 00:45:06 - mmengine - INFO - Epoch(train) [142][280/327] lr: 5.000000e-04 eta: 2:10:00 time: 0.336182 data_time: 0.030057 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.957945 2023/08/10 00:45:09 - mmengine - INFO - Epoch(train) [142][290/327] lr: 5.000000e-04 eta: 2:09:56 time: 0.343316 data_time: 0.033327 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.983602 2023/08/10 00:45:13 - mmengine - INFO - Epoch(train) [142][300/327] lr: 5.000000e-04 eta: 2:09:53 time: 0.341861 data_time: 0.033352 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.935973 2023/08/10 00:45:16 - mmengine - INFO - Epoch(train) [142][310/327] lr: 5.000000e-04 eta: 2:09:49 time: 0.340818 data_time: 0.033417 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.942204 2023/08/10 00:45:19 - mmengine - INFO - Epoch(train) [142][320/327] lr: 5.000000e-04 eta: 2:09:46 time: 0.340075 data_time: 0.033319 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.925250 2023/08/10 00:45:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:45:25 - mmengine - INFO - Epoch(train) [143][ 10/327] lr: 5.000000e-04 eta: 2:09:40 time: 0.340717 data_time: 0.034200 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.942995 2023/08/10 00:45:29 - mmengine - INFO - Epoch(train) [143][ 20/327] lr: 5.000000e-04 eta: 2:09:36 time: 0.342651 data_time: 0.034372 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.873347 2023/08/10 00:45:32 - mmengine - INFO - Epoch(train) [143][ 30/327] lr: 5.000000e-04 eta: 2:09:33 time: 0.345196 data_time: 0.034385 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.916014 2023/08/10 00:45:36 - mmengine - INFO - Epoch(train) [143][ 40/327] lr: 5.000000e-04 eta: 2:09:29 time: 0.354162 data_time: 0.034766 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.946691 2023/08/10 00:45:39 - mmengine - INFO - Epoch(train) [143][ 50/327] lr: 5.000000e-04 eta: 2:09:26 time: 0.358798 data_time: 0.035145 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.873677 2023/08/10 00:45:43 - mmengine - INFO - Epoch(train) [143][ 60/327] lr: 5.000000e-04 eta: 2:09:22 time: 0.352009 data_time: 0.030684 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.862971 2023/08/10 00:45:46 - mmengine - INFO - Epoch(train) [143][ 70/327] lr: 5.000000e-04 eta: 2:09:19 time: 0.352467 data_time: 0.030728 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.896368 2023/08/10 00:45:50 - mmengine - INFO - Epoch(train) [143][ 80/327] lr: 5.000000e-04 eta: 2:09:15 time: 0.352348 data_time: 0.031085 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.930111 2023/08/10 00:45:53 - mmengine - INFO - Epoch(train) [143][ 90/327] lr: 5.000000e-04 eta: 2:09:12 time: 0.345829 data_time: 0.030739 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.884544 2023/08/10 00:45:57 - mmengine - INFO - Epoch(train) [143][100/327] lr: 5.000000e-04 eta: 2:09:08 time: 0.347683 data_time: 0.030987 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.903633 2023/08/10 00:46:00 - mmengine - INFO - Epoch(train) [143][110/327] lr: 5.000000e-04 eta: 2:09:05 time: 0.345899 data_time: 0.031006 memory: 4563 loss: 0.000600 loss_kpt: 0.000600 acc_pose: 0.902419 2023/08/10 00:46:04 - mmengine - INFO - Epoch(train) [143][120/327] lr: 5.000000e-04 eta: 2:09:01 time: 0.347100 data_time: 0.030835 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.891268 2023/08/10 00:46:07 - mmengine - INFO - Epoch(train) [143][130/327] lr: 5.000000e-04 eta: 2:08:58 time: 0.348074 data_time: 0.030466 memory: 4563 loss: 0.000610 loss_kpt: 0.000610 acc_pose: 0.841065 2023/08/10 00:46:11 - mmengine - INFO - Epoch(train) [143][140/327] lr: 5.000000e-04 eta: 2:08:54 time: 0.348286 data_time: 0.030775 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.883196 2023/08/10 00:46:14 - mmengine - INFO - Epoch(train) [143][150/327] lr: 5.000000e-04 eta: 2:08:51 time: 0.346892 data_time: 0.030526 memory: 4563 loss: 0.000612 loss_kpt: 0.000612 acc_pose: 0.914848 2023/08/10 00:46:18 - mmengine - INFO - Epoch(train) [143][160/327] lr: 5.000000e-04 eta: 2:08:47 time: 0.351174 data_time: 0.030696 memory: 4563 loss: 0.000606 loss_kpt: 0.000606 acc_pose: 0.919001 2023/08/10 00:46:21 - mmengine - INFO - Epoch(train) [143][170/327] lr: 5.000000e-04 eta: 2:08:44 time: 0.350118 data_time: 0.030750 memory: 4563 loss: 0.000609 loss_kpt: 0.000609 acc_pose: 0.909121 2023/08/10 00:46:25 - mmengine - INFO - Epoch(train) [143][180/327] lr: 5.000000e-04 eta: 2:08:40 time: 0.351446 data_time: 0.033550 memory: 4563 loss: 0.000618 loss_kpt: 0.000618 acc_pose: 0.904823 2023/08/10 00:46:28 - mmengine - INFO - Epoch(train) [143][190/327] lr: 5.000000e-04 eta: 2:08:37 time: 0.353323 data_time: 0.033274 memory: 4563 loss: 0.000620 loss_kpt: 0.000620 acc_pose: 0.920833 2023/08/10 00:46:32 - mmengine - INFO - Epoch(train) [143][200/327] lr: 5.000000e-04 eta: 2:08:33 time: 0.351078 data_time: 0.033164 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.920874 2023/08/10 00:46:35 - mmengine - INFO - Epoch(train) [143][210/327] lr: 5.000000e-04 eta: 2:08:30 time: 0.350093 data_time: 0.033211 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.956394 2023/08/10 00:46:39 - mmengine - INFO - Epoch(train) [143][220/327] lr: 5.000000e-04 eta: 2:08:26 time: 0.355074 data_time: 0.033287 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.904823 2023/08/10 00:46:43 - mmengine - INFO - Epoch(train) [143][230/327] lr: 5.000000e-04 eta: 2:08:23 time: 0.356054 data_time: 0.030757 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.925055 2023/08/10 00:46:46 - mmengine - INFO - Epoch(train) [143][240/327] lr: 5.000000e-04 eta: 2:08:19 time: 0.353847 data_time: 0.031156 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.930355 2023/08/10 00:46:49 - mmengine - INFO - Epoch(train) [143][250/327] lr: 5.000000e-04 eta: 2:08:16 time: 0.353154 data_time: 0.031466 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.920687 2023/08/10 00:46:53 - mmengine - INFO - Epoch(train) [143][260/327] lr: 5.000000e-04 eta: 2:08:12 time: 0.350582 data_time: 0.031322 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.888218 2023/08/10 00:46:56 - mmengine - INFO - Epoch(train) [143][270/327] lr: 5.000000e-04 eta: 2:08:09 time: 0.345126 data_time: 0.031178 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.956194 2023/08/10 00:47:00 - mmengine - INFO - Epoch(train) [143][280/327] lr: 5.000000e-04 eta: 2:08:05 time: 0.342500 data_time: 0.031320 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.959913 2023/08/10 00:47:03 - mmengine - INFO - Epoch(train) [143][290/327] lr: 5.000000e-04 eta: 2:08:02 time: 0.342871 data_time: 0.031390 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.939347 2023/08/10 00:47:07 - mmengine - INFO - Epoch(train) [143][300/327] lr: 5.000000e-04 eta: 2:07:58 time: 0.343591 data_time: 0.031900 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.879143 2023/08/10 00:47:10 - mmengine - INFO - Epoch(train) [143][310/327] lr: 5.000000e-04 eta: 2:07:55 time: 0.343344 data_time: 0.032640 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.891549 2023/08/10 00:47:13 - mmengine - INFO - Epoch(train) [143][320/327] lr: 5.000000e-04 eta: 2:07:51 time: 0.343080 data_time: 0.033469 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.900455 2023/08/10 00:47:16 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:47:19 - mmengine - INFO - Epoch(train) [144][ 10/327] lr: 5.000000e-04 eta: 2:07:45 time: 0.341851 data_time: 0.036320 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.855137 2023/08/10 00:47:23 - mmengine - INFO - Epoch(train) [144][ 20/327] lr: 5.000000e-04 eta: 2:07:41 time: 0.340072 data_time: 0.035776 memory: 4563 loss: 0.000601 loss_kpt: 0.000601 acc_pose: 0.880090 2023/08/10 00:47:26 - mmengine - INFO - Epoch(train) [144][ 30/327] lr: 5.000000e-04 eta: 2:07:38 time: 0.342211 data_time: 0.035740 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.917910 2023/08/10 00:47:30 - mmengine - INFO - Epoch(train) [144][ 40/327] lr: 5.000000e-04 eta: 2:07:34 time: 0.341114 data_time: 0.035197 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.947908 2023/08/10 00:47:33 - mmengine - INFO - Epoch(train) [144][ 50/327] lr: 5.000000e-04 eta: 2:07:31 time: 0.346813 data_time: 0.038712 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.923774 2023/08/10 00:47:37 - mmengine - INFO - Epoch(train) [144][ 60/327] lr: 5.000000e-04 eta: 2:07:27 time: 0.344304 data_time: 0.034912 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.940768 2023/08/10 00:47:40 - mmengine - INFO - Epoch(train) [144][ 70/327] lr: 5.000000e-04 eta: 2:07:24 time: 0.345155 data_time: 0.035242 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.950806 2023/08/10 00:47:43 - mmengine - INFO - Epoch(train) [144][ 80/327] lr: 5.000000e-04 eta: 2:07:20 time: 0.342242 data_time: 0.034341 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.963624 2023/08/10 00:47:47 - mmengine - INFO - Epoch(train) [144][ 90/327] lr: 5.000000e-04 eta: 2:07:17 time: 0.343524 data_time: 0.034284 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.893260 2023/08/10 00:47:50 - mmengine - INFO - Epoch(train) [144][100/327] lr: 5.000000e-04 eta: 2:07:13 time: 0.340998 data_time: 0.031036 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.918882 2023/08/10 00:47:54 - mmengine - INFO - Epoch(train) [144][110/327] lr: 5.000000e-04 eta: 2:07:10 time: 0.341706 data_time: 0.031403 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.972553 2023/08/10 00:47:57 - mmengine - INFO - Epoch(train) [144][120/327] lr: 5.000000e-04 eta: 2:07:06 time: 0.343559 data_time: 0.031034 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.934373 2023/08/10 00:48:01 - mmengine - INFO - Epoch(train) [144][130/327] lr: 5.000000e-04 eta: 2:07:03 time: 0.345016 data_time: 0.031014 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.983871 2023/08/10 00:48:04 - mmengine - INFO - Epoch(train) [144][140/327] lr: 5.000000e-04 eta: 2:06:59 time: 0.344780 data_time: 0.031348 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.928528 2023/08/10 00:48:07 - mmengine - INFO - Epoch(train) [144][150/327] lr: 5.000000e-04 eta: 2:06:56 time: 0.346430 data_time: 0.031506 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.939655 2023/08/10 00:48:11 - mmengine - INFO - Epoch(train) [144][160/327] lr: 5.000000e-04 eta: 2:06:52 time: 0.345570 data_time: 0.031418 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.947044 2023/08/10 00:48:15 - mmengine - INFO - Epoch(train) [144][170/327] lr: 5.000000e-04 eta: 2:06:49 time: 0.350724 data_time: 0.031605 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.877481 2023/08/10 00:48:18 - mmengine - INFO - Epoch(train) [144][180/327] lr: 5.000000e-04 eta: 2:06:45 time: 0.351258 data_time: 0.031931 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.913144 2023/08/10 00:48:22 - mmengine - INFO - Epoch(train) [144][190/327] lr: 5.000000e-04 eta: 2:06:42 time: 0.354337 data_time: 0.031953 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.934409 2023/08/10 00:48:25 - mmengine - INFO - Epoch(train) [144][200/327] lr: 5.000000e-04 eta: 2:06:38 time: 0.356032 data_time: 0.032190 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.919775 2023/08/10 00:48:29 - mmengine - INFO - Epoch(train) [144][210/327] lr: 5.000000e-04 eta: 2:06:35 time: 0.355388 data_time: 0.031904 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.932887 2023/08/10 00:48:32 - mmengine - INFO - Epoch(train) [144][220/327] lr: 5.000000e-04 eta: 2:06:31 time: 0.348587 data_time: 0.031683 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.957120 2023/08/10 00:48:35 - mmengine - INFO - Epoch(train) [144][230/327] lr: 5.000000e-04 eta: 2:06:28 time: 0.347241 data_time: 0.031586 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.876732 2023/08/10 00:48:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:48:39 - mmengine - INFO - Epoch(train) [144][240/327] lr: 5.000000e-04 eta: 2:06:24 time: 0.347152 data_time: 0.031987 memory: 4563 loss: 0.000592 loss_kpt: 0.000592 acc_pose: 0.876845 2023/08/10 00:48:42 - mmengine - INFO - Epoch(train) [144][250/327] lr: 5.000000e-04 eta: 2:06:21 time: 0.343748 data_time: 0.031365 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.923830 2023/08/10 00:48:46 - mmengine - INFO - Epoch(train) [144][260/327] lr: 5.000000e-04 eta: 2:06:17 time: 0.343862 data_time: 0.031566 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.952279 2023/08/10 00:48:49 - mmengine - INFO - Epoch(train) [144][270/327] lr: 5.000000e-04 eta: 2:06:13 time: 0.343294 data_time: 0.031481 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.939815 2023/08/10 00:48:53 - mmengine - INFO - Epoch(train) [144][280/327] lr: 5.000000e-04 eta: 2:06:10 time: 0.342608 data_time: 0.031248 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.917176 2023/08/10 00:48:56 - mmengine - INFO - Epoch(train) [144][290/327] lr: 5.000000e-04 eta: 2:06:06 time: 0.338684 data_time: 0.030342 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.933602 2023/08/10 00:48:59 - mmengine - INFO - Epoch(train) [144][300/327] lr: 5.000000e-04 eta: 2:06:03 time: 0.337640 data_time: 0.030417 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.957397 2023/08/10 00:49:03 - mmengine - INFO - Epoch(train) [144][310/327] lr: 5.000000e-04 eta: 2:05:59 time: 0.342146 data_time: 0.030382 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.925501 2023/08/10 00:49:07 - mmengine - INFO - Epoch(train) [144][320/327] lr: 5.000000e-04 eta: 2:05:56 time: 0.346339 data_time: 0.030640 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.904249 2023/08/10 00:49:09 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:49:12 - mmengine - INFO - Epoch(train) [145][ 10/327] lr: 5.000000e-04 eta: 2:05:50 time: 0.349390 data_time: 0.034000 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.920424 2023/08/10 00:49:16 - mmengine - INFO - Epoch(train) [145][ 20/327] lr: 5.000000e-04 eta: 2:05:46 time: 0.347606 data_time: 0.033818 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.886227 2023/08/10 00:49:19 - mmengine - INFO - Epoch(train) [145][ 30/327] lr: 5.000000e-04 eta: 2:05:43 time: 0.341608 data_time: 0.033595 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.924138 2023/08/10 00:49:22 - mmengine - INFO - Epoch(train) [145][ 40/327] lr: 5.000000e-04 eta: 2:05:39 time: 0.336723 data_time: 0.033637 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.958545 2023/08/10 00:49:26 - mmengine - INFO - Epoch(train) [145][ 50/327] lr: 5.000000e-04 eta: 2:05:36 time: 0.336831 data_time: 0.034115 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.827381 2023/08/10 00:49:29 - mmengine - INFO - Epoch(train) [145][ 60/327] lr: 5.000000e-04 eta: 2:05:32 time: 0.334390 data_time: 0.030591 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.914879 2023/08/10 00:49:33 - mmengine - INFO - Epoch(train) [145][ 70/327] lr: 5.000000e-04 eta: 2:05:28 time: 0.335584 data_time: 0.030738 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.889808 2023/08/10 00:49:36 - mmengine - INFO - Epoch(train) [145][ 80/327] lr: 5.000000e-04 eta: 2:05:25 time: 0.336064 data_time: 0.030644 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.877395 2023/08/10 00:49:39 - mmengine - INFO - Epoch(train) [145][ 90/327] lr: 5.000000e-04 eta: 2:05:21 time: 0.336711 data_time: 0.030474 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.867331 2023/08/10 00:49:43 - mmengine - INFO - Epoch(train) [145][100/327] lr: 5.000000e-04 eta: 2:05:18 time: 0.335420 data_time: 0.030319 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.942824 2023/08/10 00:49:46 - mmengine - INFO - Epoch(train) [145][110/327] lr: 5.000000e-04 eta: 2:05:14 time: 0.333779 data_time: 0.030601 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.939614 2023/08/10 00:49:49 - mmengine - INFO - Epoch(train) [145][120/327] lr: 5.000000e-04 eta: 2:05:11 time: 0.334419 data_time: 0.030970 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.950967 2023/08/10 00:49:53 - mmengine - INFO - Epoch(train) [145][130/327] lr: 5.000000e-04 eta: 2:05:07 time: 0.334174 data_time: 0.031210 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.906034 2023/08/10 00:49:56 - mmengine - INFO - Epoch(train) [145][140/327] lr: 5.000000e-04 eta: 2:05:04 time: 0.337933 data_time: 0.031418 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.823563 2023/08/10 00:49:59 - mmengine - INFO - Epoch(train) [145][150/327] lr: 5.000000e-04 eta: 2:05:00 time: 0.337976 data_time: 0.031326 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.928125 2023/08/10 00:50:03 - mmengine - INFO - Epoch(train) [145][160/327] lr: 5.000000e-04 eta: 2:04:56 time: 0.337523 data_time: 0.030784 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.966648 2023/08/10 00:50:06 - mmengine - INFO - Epoch(train) [145][170/327] lr: 5.000000e-04 eta: 2:04:53 time: 0.336152 data_time: 0.030345 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.967994 2023/08/10 00:50:09 - mmengine - INFO - Epoch(train) [145][180/327] lr: 5.000000e-04 eta: 2:04:49 time: 0.336518 data_time: 0.030200 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.921711 2023/08/10 00:50:13 - mmengine - INFO - Epoch(train) [145][190/327] lr: 5.000000e-04 eta: 2:04:46 time: 0.340037 data_time: 0.033384 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.974981 2023/08/10 00:50:17 - mmengine - INFO - Epoch(train) [145][200/327] lr: 5.000000e-04 eta: 2:04:42 time: 0.342055 data_time: 0.033810 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.935185 2023/08/10 00:50:20 - mmengine - INFO - Epoch(train) [145][210/327] lr: 5.000000e-04 eta: 2:04:39 time: 0.346267 data_time: 0.034111 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.895500 2023/08/10 00:50:23 - mmengine - INFO - Epoch(train) [145][220/327] lr: 5.000000e-04 eta: 2:04:35 time: 0.345951 data_time: 0.034095 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.941880 2023/08/10 00:50:27 - mmengine - INFO - Epoch(train) [145][230/327] lr: 5.000000e-04 eta: 2:04:32 time: 0.345529 data_time: 0.034021 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.991667 2023/08/10 00:50:30 - mmengine - INFO - Epoch(train) [145][240/327] lr: 5.000000e-04 eta: 2:04:28 time: 0.337961 data_time: 0.030968 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.924405 2023/08/10 00:50:33 - mmengine - INFO - Epoch(train) [145][250/327] lr: 5.000000e-04 eta: 2:04:24 time: 0.336237 data_time: 0.030718 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.966322 2023/08/10 00:50:37 - mmengine - INFO - Epoch(train) [145][260/327] lr: 5.000000e-04 eta: 2:04:21 time: 0.335583 data_time: 0.030747 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.898276 2023/08/10 00:50:40 - mmengine - INFO - Epoch(train) [145][270/327] lr: 5.000000e-04 eta: 2:04:17 time: 0.336943 data_time: 0.031337 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.882722 2023/08/10 00:50:44 - mmengine - INFO - Epoch(train) [145][280/327] lr: 5.000000e-04 eta: 2:04:14 time: 0.339515 data_time: 0.031559 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.878544 2023/08/10 00:50:47 - mmengine - INFO - Epoch(train) [145][290/327] lr: 5.000000e-04 eta: 2:04:10 time: 0.340052 data_time: 0.031361 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.870147 2023/08/10 00:50:50 - mmengine - INFO - Epoch(train) [145][300/327] lr: 5.000000e-04 eta: 2:04:07 time: 0.339473 data_time: 0.031275 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.950250 2023/08/10 00:50:54 - mmengine - INFO - Epoch(train) [145][310/327] lr: 5.000000e-04 eta: 2:04:03 time: 0.335249 data_time: 0.030916 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.891594 2023/08/10 00:50:57 - mmengine - INFO - Epoch(train) [145][320/327] lr: 5.000000e-04 eta: 2:04:00 time: 0.333655 data_time: 0.030293 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.962553 2023/08/10 00:50:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:51:03 - mmengine - INFO - Epoch(train) [146][ 10/327] lr: 5.000000e-04 eta: 2:03:54 time: 0.337626 data_time: 0.034430 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.923479 2023/08/10 00:51:06 - mmengine - INFO - Epoch(train) [146][ 20/327] lr: 5.000000e-04 eta: 2:03:50 time: 0.340776 data_time: 0.034377 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.966266 2023/08/10 00:51:10 - mmengine - INFO - Epoch(train) [146][ 30/327] lr: 5.000000e-04 eta: 2:03:47 time: 0.345479 data_time: 0.034762 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.923123 2023/08/10 00:51:14 - mmengine - INFO - Epoch(train) [146][ 40/327] lr: 5.000000e-04 eta: 2:03:43 time: 0.353382 data_time: 0.037975 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.941880 2023/08/10 00:51:17 - mmengine - INFO - Epoch(train) [146][ 50/327] lr: 5.000000e-04 eta: 2:03:40 time: 0.356172 data_time: 0.038264 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.937124 2023/08/10 00:51:20 - mmengine - INFO - Epoch(train) [146][ 60/327] lr: 5.000000e-04 eta: 2:03:36 time: 0.350097 data_time: 0.033580 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.868646 2023/08/10 00:51:24 - mmengine - INFO - Epoch(train) [146][ 70/327] lr: 5.000000e-04 eta: 2:03:33 time: 0.350850 data_time: 0.034267 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.932184 2023/08/10 00:51:27 - mmengine - INFO - Epoch(train) [146][ 80/327] lr: 5.000000e-04 eta: 2:03:29 time: 0.349411 data_time: 0.034564 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.973214 2023/08/10 00:51:31 - mmengine - INFO - Epoch(train) [146][ 90/327] lr: 5.000000e-04 eta: 2:03:26 time: 0.350466 data_time: 0.031889 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.896929 2023/08/10 00:51:35 - mmengine - INFO - Epoch(train) [146][100/327] lr: 5.000000e-04 eta: 2:03:22 time: 0.350948 data_time: 0.032456 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.992188 2023/08/10 00:51:38 - mmengine - INFO - Epoch(train) [146][110/327] lr: 5.000000e-04 eta: 2:03:19 time: 0.349524 data_time: 0.032321 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.881545 2023/08/10 00:51:41 - mmengine - INFO - Epoch(train) [146][120/327] lr: 5.000000e-04 eta: 2:03:15 time: 0.347050 data_time: 0.031443 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.930952 2023/08/10 00:51:45 - mmengine - INFO - Epoch(train) [146][130/327] lr: 5.000000e-04 eta: 2:03:12 time: 0.349806 data_time: 0.030656 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.881232 2023/08/10 00:51:48 - mmengine - INFO - Epoch(train) [146][140/327] lr: 5.000000e-04 eta: 2:03:08 time: 0.344101 data_time: 0.030670 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.973499 2023/08/10 00:51:52 - mmengine - INFO - Epoch(train) [146][150/327] lr: 5.000000e-04 eta: 2:03:05 time: 0.345621 data_time: 0.030511 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.833791 2023/08/10 00:51:55 - mmengine - INFO - Epoch(train) [146][160/327] lr: 5.000000e-04 eta: 2:03:01 time: 0.347228 data_time: 0.030892 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.958602 2023/08/10 00:51:59 - mmengine - INFO - Epoch(train) [146][170/327] lr: 5.000000e-04 eta: 2:02:58 time: 0.349281 data_time: 0.030910 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.951865 2023/08/10 00:52:02 - mmengine - INFO - Epoch(train) [146][180/327] lr: 5.000000e-04 eta: 2:02:54 time: 0.348723 data_time: 0.031325 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.844710 2023/08/10 00:52:06 - mmengine - INFO - Epoch(train) [146][190/327] lr: 5.000000e-04 eta: 2:02:51 time: 0.350347 data_time: 0.030782 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.935937 2023/08/10 00:52:09 - mmengine - INFO - Epoch(train) [146][200/327] lr: 5.000000e-04 eta: 2:02:47 time: 0.349199 data_time: 0.031065 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.939039 2023/08/10 00:52:13 - mmengine - INFO - Epoch(train) [146][210/327] lr: 5.000000e-04 eta: 2:02:44 time: 0.349111 data_time: 0.031104 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.834259 2023/08/10 00:52:16 - mmengine - INFO - Epoch(train) [146][220/327] lr: 5.000000e-04 eta: 2:02:40 time: 0.350609 data_time: 0.031422 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.867611 2023/08/10 00:52:20 - mmengine - INFO - Epoch(train) [146][230/327] lr: 5.000000e-04 eta: 2:02:37 time: 0.349180 data_time: 0.031394 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.881695 2023/08/10 00:52:23 - mmengine - INFO - Epoch(train) [146][240/327] lr: 5.000000e-04 eta: 2:02:33 time: 0.347735 data_time: 0.031585 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.883333 2023/08/10 00:52:27 - mmengine - INFO - Epoch(train) [146][250/327] lr: 5.000000e-04 eta: 2:02:30 time: 0.348077 data_time: 0.030883 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.931568 2023/08/10 00:52:30 - mmengine - INFO - Epoch(train) [146][260/327] lr: 5.000000e-04 eta: 2:02:26 time: 0.348075 data_time: 0.030564 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.909103 2023/08/10 00:52:34 - mmengine - INFO - Epoch(train) [146][270/327] lr: 5.000000e-04 eta: 2:02:23 time: 0.345997 data_time: 0.030083 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.929881 2023/08/10 00:52:37 - mmengine - INFO - Epoch(train) [146][280/327] lr: 5.000000e-04 eta: 2:02:19 time: 0.345584 data_time: 0.030043 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.915094 2023/08/10 00:52:41 - mmengine - INFO - Epoch(train) [146][290/327] lr: 5.000000e-04 eta: 2:02:16 time: 0.351540 data_time: 0.029873 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.924016 2023/08/10 00:52:44 - mmengine - INFO - Epoch(train) [146][300/327] lr: 5.000000e-04 eta: 2:02:12 time: 0.353651 data_time: 0.030402 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.946266 2023/08/10 00:52:48 - mmengine - INFO - Epoch(train) [146][310/327] lr: 5.000000e-04 eta: 2:02:09 time: 0.352580 data_time: 0.030465 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.964263 2023/08/10 00:52:51 - mmengine - INFO - Epoch(train) [146][320/327] lr: 5.000000e-04 eta: 2:02:05 time: 0.351519 data_time: 0.030762 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.932656 2023/08/10 00:52:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:52:57 - mmengine - INFO - Epoch(train) [147][ 10/327] lr: 5.000000e-04 eta: 2:01:59 time: 0.351334 data_time: 0.033565 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.955907 2023/08/10 00:53:01 - mmengine - INFO - Epoch(train) [147][ 20/327] lr: 5.000000e-04 eta: 2:01:56 time: 0.346104 data_time: 0.033450 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.983315 2023/08/10 00:53:04 - mmengine - INFO - Epoch(train) [147][ 30/327] lr: 5.000000e-04 eta: 2:01:52 time: 0.347712 data_time: 0.033617 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.949407 2023/08/10 00:53:08 - mmengine - INFO - Epoch(train) [147][ 40/327] lr: 5.000000e-04 eta: 2:01:49 time: 0.349171 data_time: 0.034001 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.957759 2023/08/10 00:53:11 - mmengine - INFO - Epoch(train) [147][ 50/327] lr: 5.000000e-04 eta: 2:01:45 time: 0.353031 data_time: 0.034931 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.944368 2023/08/10 00:53:15 - mmengine - INFO - Epoch(train) [147][ 60/327] lr: 5.000000e-04 eta: 2:01:42 time: 0.345032 data_time: 0.030932 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.909571 2023/08/10 00:53:18 - mmengine - INFO - Epoch(train) [147][ 70/327] lr: 5.000000e-04 eta: 2:01:38 time: 0.343768 data_time: 0.030775 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.918269 2023/08/10 00:53:21 - mmengine - INFO - Epoch(train) [147][ 80/327] lr: 5.000000e-04 eta: 2:01:34 time: 0.342283 data_time: 0.030358 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.928454 2023/08/10 00:53:25 - mmengine - INFO - Epoch(train) [147][ 90/327] lr: 5.000000e-04 eta: 2:01:31 time: 0.341951 data_time: 0.030048 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.935215 2023/08/10 00:53:28 - mmengine - INFO - Epoch(train) [147][100/327] lr: 5.000000e-04 eta: 2:01:27 time: 0.340233 data_time: 0.030214 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.928172 2023/08/10 00:53:32 - mmengine - INFO - Epoch(train) [147][110/327] lr: 5.000000e-04 eta: 2:01:24 time: 0.341982 data_time: 0.030789 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.899905 2023/08/10 00:53:35 - mmengine - INFO - Epoch(train) [147][120/327] lr: 5.000000e-04 eta: 2:01:20 time: 0.342389 data_time: 0.030789 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.870955 2023/08/10 00:53:39 - mmengine - INFO - Epoch(train) [147][130/327] lr: 5.000000e-04 eta: 2:01:17 time: 0.344945 data_time: 0.030783 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.893185 2023/08/10 00:53:42 - mmengine - INFO - Epoch(train) [147][140/327] lr: 5.000000e-04 eta: 2:01:13 time: 0.343275 data_time: 0.030625 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.929803 2023/08/10 00:53:45 - mmengine - INFO - Epoch(train) [147][150/327] lr: 5.000000e-04 eta: 2:01:10 time: 0.345059 data_time: 0.030659 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.915365 2023/08/10 00:53:49 - mmengine - INFO - Epoch(train) [147][160/327] lr: 5.000000e-04 eta: 2:01:06 time: 0.345865 data_time: 0.030725 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.952527 2023/08/10 00:53:52 - mmengine - INFO - Epoch(train) [147][170/327] lr: 5.000000e-04 eta: 2:01:03 time: 0.347216 data_time: 0.030874 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.898651 2023/08/10 00:53:56 - mmengine - INFO - Epoch(train) [147][180/327] lr: 5.000000e-04 eta: 2:00:59 time: 0.345644 data_time: 0.031205 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.922649 2023/08/10 00:53:59 - mmengine - INFO - Epoch(train) [147][190/327] lr: 5.000000e-04 eta: 2:00:56 time: 0.345561 data_time: 0.031245 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.832383 2023/08/10 00:54:03 - mmengine - INFO - Epoch(train) [147][200/327] lr: 5.000000e-04 eta: 2:00:52 time: 0.343112 data_time: 0.031095 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.940170 2023/08/10 00:54:06 - mmengine - INFO - Epoch(train) [147][210/327] lr: 5.000000e-04 eta: 2:00:49 time: 0.340665 data_time: 0.030582 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.870562 2023/08/10 00:54:09 - mmengine - INFO - Epoch(train) [147][220/327] lr: 5.000000e-04 eta: 2:00:45 time: 0.339281 data_time: 0.030415 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.875463 2023/08/10 00:54:13 - mmengine - INFO - Epoch(train) [147][230/327] lr: 5.000000e-04 eta: 2:00:42 time: 0.338823 data_time: 0.030173 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.905232 2023/08/10 00:54:16 - mmengine - INFO - Epoch(train) [147][240/327] lr: 5.000000e-04 eta: 2:00:38 time: 0.338449 data_time: 0.030342 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.925769 2023/08/10 00:54:20 - mmengine - INFO - Epoch(train) [147][250/327] lr: 5.000000e-04 eta: 2:00:34 time: 0.339748 data_time: 0.030708 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.900498 2023/08/10 00:54:22 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:54:23 - mmengine - INFO - Epoch(train) [147][260/327] lr: 5.000000e-04 eta: 2:00:31 time: 0.341450 data_time: 0.030492 memory: 4563 loss: 0.000598 loss_kpt: 0.000598 acc_pose: 0.913309 2023/08/10 00:54:26 - mmengine - INFO - Epoch(train) [147][270/327] lr: 5.000000e-04 eta: 2:00:27 time: 0.341215 data_time: 0.030577 memory: 4563 loss: 0.000589 loss_kpt: 0.000589 acc_pose: 0.946953 2023/08/10 00:54:30 - mmengine - INFO - Epoch(train) [147][280/327] lr: 5.000000e-04 eta: 2:00:24 time: 0.340064 data_time: 0.030409 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.931548 2023/08/10 00:54:33 - mmengine - INFO - Epoch(train) [147][290/327] lr: 5.000000e-04 eta: 2:00:20 time: 0.341085 data_time: 0.030410 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.882825 2023/08/10 00:54:37 - mmengine - INFO - Epoch(train) [147][300/327] lr: 5.000000e-04 eta: 2:00:17 time: 0.344696 data_time: 0.033268 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.902183 2023/08/10 00:54:40 - mmengine - INFO - Epoch(train) [147][310/327] lr: 5.000000e-04 eta: 2:00:13 time: 0.343827 data_time: 0.033423 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.922093 2023/08/10 00:54:44 - mmengine - INFO - Epoch(train) [147][320/327] lr: 5.000000e-04 eta: 2:00:10 time: 0.344869 data_time: 0.033529 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.958046 2023/08/10 00:54:46 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:54:50 - mmengine - INFO - Epoch(train) [148][ 10/327] lr: 5.000000e-04 eta: 2:00:04 time: 0.345369 data_time: 0.036104 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.939550 2023/08/10 00:54:53 - mmengine - INFO - Epoch(train) [148][ 20/327] lr: 5.000000e-04 eta: 2:00:00 time: 0.340255 data_time: 0.032715 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.923632 2023/08/10 00:54:56 - mmengine - INFO - Epoch(train) [148][ 30/327] lr: 5.000000e-04 eta: 1:59:57 time: 0.336815 data_time: 0.032331 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.931034 2023/08/10 00:54:59 - mmengine - INFO - Epoch(train) [148][ 40/327] lr: 5.000000e-04 eta: 1:59:53 time: 0.335035 data_time: 0.032284 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.926678 2023/08/10 00:55:03 - mmengine - INFO - Epoch(train) [148][ 50/327] lr: 5.000000e-04 eta: 1:59:50 time: 0.340653 data_time: 0.033610 memory: 4563 loss: 0.000576 loss_kpt: 0.000576 acc_pose: 0.885735 2023/08/10 00:55:06 - mmengine - INFO - Epoch(train) [148][ 60/327] lr: 5.000000e-04 eta: 1:59:46 time: 0.337665 data_time: 0.030160 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.917252 2023/08/10 00:55:10 - mmengine - INFO - Epoch(train) [148][ 70/327] lr: 5.000000e-04 eta: 1:59:42 time: 0.337950 data_time: 0.030822 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.911182 2023/08/10 00:55:13 - mmengine - INFO - Epoch(train) [148][ 80/327] lr: 5.000000e-04 eta: 1:59:39 time: 0.337727 data_time: 0.031668 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.904487 2023/08/10 00:55:16 - mmengine - INFO - Epoch(train) [148][ 90/327] lr: 5.000000e-04 eta: 1:59:35 time: 0.336954 data_time: 0.032227 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.864084 2023/08/10 00:55:20 - mmengine - INFO - Epoch(train) [148][100/327] lr: 5.000000e-04 eta: 1:59:32 time: 0.331668 data_time: 0.032492 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.894444 2023/08/10 00:55:23 - mmengine - INFO - Epoch(train) [148][110/327] lr: 5.000000e-04 eta: 1:59:28 time: 0.331104 data_time: 0.032614 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.925824 2023/08/10 00:55:26 - mmengine - INFO - Epoch(train) [148][120/327] lr: 5.000000e-04 eta: 1:59:25 time: 0.333086 data_time: 0.032378 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.870498 2023/08/10 00:55:30 - mmengine - INFO - Epoch(train) [148][130/327] lr: 5.000000e-04 eta: 1:59:21 time: 0.339634 data_time: 0.034722 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.925847 2023/08/10 00:55:33 - mmengine - INFO - Epoch(train) [148][140/327] lr: 5.000000e-04 eta: 1:59:18 time: 0.339911 data_time: 0.034256 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.925211 2023/08/10 00:55:37 - mmengine - INFO - Epoch(train) [148][150/327] lr: 5.000000e-04 eta: 1:59:14 time: 0.339983 data_time: 0.033663 memory: 4563 loss: 0.000587 loss_kpt: 0.000587 acc_pose: 0.867222 2023/08/10 00:55:40 - mmengine - INFO - Epoch(train) [148][160/327] lr: 5.000000e-04 eta: 1:59:10 time: 0.339916 data_time: 0.033690 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.908705 2023/08/10 00:55:43 - mmengine - INFO - Epoch(train) [148][170/327] lr: 5.000000e-04 eta: 1:59:07 time: 0.337311 data_time: 0.033404 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.916667 2023/08/10 00:55:47 - mmengine - INFO - Epoch(train) [148][180/327] lr: 5.000000e-04 eta: 1:59:03 time: 0.334348 data_time: 0.030612 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.898399 2023/08/10 00:55:50 - mmengine - INFO - Epoch(train) [148][190/327] lr: 5.000000e-04 eta: 1:59:00 time: 0.338847 data_time: 0.030839 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.916820 2023/08/10 00:55:54 - mmengine - INFO - Epoch(train) [148][200/327] lr: 5.000000e-04 eta: 1:58:56 time: 0.343558 data_time: 0.031191 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.926491 2023/08/10 00:55:57 - mmengine - INFO - Epoch(train) [148][210/327] lr: 5.000000e-04 eta: 1:58:53 time: 0.343656 data_time: 0.030949 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.906034 2023/08/10 00:56:01 - mmengine - INFO - Epoch(train) [148][220/327] lr: 5.000000e-04 eta: 1:58:49 time: 0.344473 data_time: 0.030882 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.937859 2023/08/10 00:56:04 - mmengine - INFO - Epoch(train) [148][230/327] lr: 5.000000e-04 eta: 1:58:46 time: 0.340756 data_time: 0.030706 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.910646 2023/08/10 00:56:07 - mmengine - INFO - Epoch(train) [148][240/327] lr: 5.000000e-04 eta: 1:58:42 time: 0.335649 data_time: 0.030465 memory: 4563 loss: 0.000591 loss_kpt: 0.000591 acc_pose: 0.937288 2023/08/10 00:56:10 - mmengine - INFO - Epoch(train) [148][250/327] lr: 5.000000e-04 eta: 1:58:38 time: 0.331370 data_time: 0.030000 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.895090 2023/08/10 00:56:14 - mmengine - INFO - Epoch(train) [148][260/327] lr: 5.000000e-04 eta: 1:58:35 time: 0.331996 data_time: 0.030228 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.914368 2023/08/10 00:56:17 - mmengine - INFO - Epoch(train) [148][270/327] lr: 5.000000e-04 eta: 1:58:31 time: 0.331915 data_time: 0.030484 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.983602 2023/08/10 00:56:21 - mmengine - INFO - Epoch(train) [148][280/327] lr: 5.000000e-04 eta: 1:58:28 time: 0.336736 data_time: 0.030709 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.922925 2023/08/10 00:56:24 - mmengine - INFO - Epoch(train) [148][290/327] lr: 5.000000e-04 eta: 1:58:24 time: 0.336923 data_time: 0.030603 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.972861 2023/08/10 00:56:27 - mmengine - INFO - Epoch(train) [148][300/327] lr: 5.000000e-04 eta: 1:58:21 time: 0.338858 data_time: 0.030845 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.914943 2023/08/10 00:56:31 - mmengine - INFO - Epoch(train) [148][310/327] lr: 5.000000e-04 eta: 1:58:17 time: 0.337990 data_time: 0.030729 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.923715 2023/08/10 00:56:34 - mmengine - INFO - Epoch(train) [148][320/327] lr: 5.000000e-04 eta: 1:58:14 time: 0.338675 data_time: 0.030648 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.919643 2023/08/10 00:56:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:56:40 - mmengine - INFO - Epoch(train) [149][ 10/327] lr: 5.000000e-04 eta: 1:58:08 time: 0.338538 data_time: 0.033663 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.959140 2023/08/10 00:56:43 - mmengine - INFO - Epoch(train) [149][ 20/327] lr: 5.000000e-04 eta: 1:58:04 time: 0.338412 data_time: 0.034191 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.897414 2023/08/10 00:56:47 - mmengine - INFO - Epoch(train) [149][ 30/327] lr: 5.000000e-04 eta: 1:58:01 time: 0.339199 data_time: 0.034494 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.912562 2023/08/10 00:56:50 - mmengine - INFO - Epoch(train) [149][ 40/327] lr: 5.000000e-04 eta: 1:57:57 time: 0.339272 data_time: 0.035072 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.941816 2023/08/10 00:56:53 - mmengine - INFO - Epoch(train) [149][ 50/327] lr: 5.000000e-04 eta: 1:57:53 time: 0.340673 data_time: 0.036682 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.918471 2023/08/10 00:56:57 - mmengine - INFO - Epoch(train) [149][ 60/327] lr: 5.000000e-04 eta: 1:57:50 time: 0.336915 data_time: 0.033296 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.947660 2023/08/10 00:57:00 - mmengine - INFO - Epoch(train) [149][ 70/327] lr: 5.000000e-04 eta: 1:57:46 time: 0.337213 data_time: 0.032814 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.960165 2023/08/10 00:57:04 - mmengine - INFO - Epoch(train) [149][ 80/327] lr: 5.000000e-04 eta: 1:57:43 time: 0.339598 data_time: 0.033406 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.925422 2023/08/10 00:57:07 - mmengine - INFO - Epoch(train) [149][ 90/327] lr: 5.000000e-04 eta: 1:57:39 time: 0.341871 data_time: 0.033236 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.954843 2023/08/10 00:57:10 - mmengine - INFO - Epoch(train) [149][100/327] lr: 5.000000e-04 eta: 1:57:36 time: 0.341130 data_time: 0.032328 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.982320 2023/08/10 00:57:14 - mmengine - INFO - Epoch(train) [149][110/327] lr: 5.000000e-04 eta: 1:57:32 time: 0.339963 data_time: 0.031581 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.964286 2023/08/10 00:57:17 - mmengine - INFO - Epoch(train) [149][120/327] lr: 5.000000e-04 eta: 1:57:29 time: 0.342968 data_time: 0.034298 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.967382 2023/08/10 00:57:21 - mmengine - INFO - Epoch(train) [149][130/327] lr: 5.000000e-04 eta: 1:57:25 time: 0.340183 data_time: 0.033352 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.892458 2023/08/10 00:57:24 - mmengine - INFO - Epoch(train) [149][140/327] lr: 5.000000e-04 eta: 1:57:22 time: 0.341265 data_time: 0.033014 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.930603 2023/08/10 00:57:28 - mmengine - INFO - Epoch(train) [149][150/327] lr: 5.000000e-04 eta: 1:57:18 time: 0.346210 data_time: 0.033373 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.886091 2023/08/10 00:57:31 - mmengine - INFO - Epoch(train) [149][160/327] lr: 5.000000e-04 eta: 1:57:15 time: 0.350741 data_time: 0.033900 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.938709 2023/08/10 00:57:35 - mmengine - INFO - Epoch(train) [149][170/327] lr: 5.000000e-04 eta: 1:57:11 time: 0.345720 data_time: 0.030967 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.966092 2023/08/10 00:57:38 - mmengine - INFO - Epoch(train) [149][180/327] lr: 5.000000e-04 eta: 1:57:08 time: 0.345197 data_time: 0.030840 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.910789 2023/08/10 00:57:41 - mmengine - INFO - Epoch(train) [149][190/327] lr: 5.000000e-04 eta: 1:57:04 time: 0.340997 data_time: 0.030770 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.938959 2023/08/10 00:57:45 - mmengine - INFO - Epoch(train) [149][200/327] lr: 5.000000e-04 eta: 1:57:00 time: 0.335990 data_time: 0.030459 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.955026 2023/08/10 00:57:48 - mmengine - INFO - Epoch(train) [149][210/327] lr: 5.000000e-04 eta: 1:56:57 time: 0.331719 data_time: 0.029983 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.930447 2023/08/10 00:57:51 - mmengine - INFO - Epoch(train) [149][220/327] lr: 5.000000e-04 eta: 1:56:53 time: 0.333395 data_time: 0.030353 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.919244 2023/08/10 00:57:55 - mmengine - INFO - Epoch(train) [149][230/327] lr: 5.000000e-04 eta: 1:56:50 time: 0.336293 data_time: 0.031718 memory: 4563 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.938721 2023/08/10 00:57:58 - mmengine - INFO - Epoch(train) [149][240/327] lr: 5.000000e-04 eta: 1:56:46 time: 0.337183 data_time: 0.032115 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.913024 2023/08/10 00:58:01 - mmengine - INFO - Epoch(train) [149][250/327] lr: 5.000000e-04 eta: 1:56:43 time: 0.337294 data_time: 0.031984 memory: 4563 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.975502 2023/08/10 00:58:05 - mmengine - INFO - Epoch(train) [149][260/327] lr: 5.000000e-04 eta: 1:56:39 time: 0.337269 data_time: 0.031937 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.928338 2023/08/10 00:58:08 - mmengine - INFO - Epoch(train) [149][270/327] lr: 5.000000e-04 eta: 1:56:36 time: 0.335642 data_time: 0.031950 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.871067 2023/08/10 00:58:11 - mmengine - INFO - Epoch(train) [149][280/327] lr: 5.000000e-04 eta: 1:56:32 time: 0.333460 data_time: 0.031192 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.946602 2023/08/10 00:58:15 - mmengine - INFO - Epoch(train) [149][290/327] lr: 5.000000e-04 eta: 1:56:29 time: 0.337297 data_time: 0.031019 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.904823 2023/08/10 00:58:19 - mmengine - INFO - Epoch(train) [149][300/327] lr: 5.000000e-04 eta: 1:56:25 time: 0.341116 data_time: 0.031356 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.926429 2023/08/10 00:58:22 - mmengine - INFO - Epoch(train) [149][310/327] lr: 5.000000e-04 eta: 1:56:21 time: 0.341798 data_time: 0.031514 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.959140 2023/08/10 00:58:25 - mmengine - INFO - Epoch(train) [149][320/327] lr: 5.000000e-04 eta: 1:56:18 time: 0.342125 data_time: 0.031138 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.969515 2023/08/10 00:58:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 00:58:31 - mmengine - INFO - Epoch(train) [150][ 10/327] lr: 5.000000e-04 eta: 1:56:12 time: 0.341935 data_time: 0.033603 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.913509 2023/08/10 00:58:35 - mmengine - INFO - Epoch(train) [150][ 20/327] lr: 5.000000e-04 eta: 1:56:08 time: 0.342976 data_time: 0.033886 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.924018 2023/08/10 00:58:38 - mmengine - INFO - Epoch(train) [150][ 30/327] lr: 5.000000e-04 eta: 1:56:05 time: 0.346236 data_time: 0.034226 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.880908 2023/08/10 00:58:42 - mmengine - INFO - Epoch(train) [150][ 40/327] lr: 5.000000e-04 eta: 1:56:02 time: 0.353427 data_time: 0.035435 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.866311 2023/08/10 00:58:45 - mmengine - INFO - Epoch(train) [150][ 50/327] lr: 5.000000e-04 eta: 1:55:58 time: 0.356399 data_time: 0.036124 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.859743 2023/08/10 00:58:49 - mmengine - INFO - Epoch(train) [150][ 60/327] lr: 5.000000e-04 eta: 1:55:54 time: 0.351833 data_time: 0.032351 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.981812 2023/08/10 00:58:52 - mmengine - INFO - Epoch(train) [150][ 70/327] lr: 5.000000e-04 eta: 1:55:51 time: 0.351214 data_time: 0.031960 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.912671 2023/08/10 00:58:56 - mmengine - INFO - Epoch(train) [150][ 80/327] lr: 5.000000e-04 eta: 1:55:47 time: 0.345555 data_time: 0.031433 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.946250 2023/08/10 00:58:59 - mmengine - INFO - Epoch(train) [150][ 90/327] lr: 5.000000e-04 eta: 1:55:44 time: 0.341315 data_time: 0.030301 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.965189 2023/08/10 00:59:02 - mmengine - INFO - Epoch(train) [150][100/327] lr: 5.000000e-04 eta: 1:55:40 time: 0.342215 data_time: 0.030607 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.905357 2023/08/10 00:59:06 - mmengine - INFO - Epoch(train) [150][110/327] lr: 5.000000e-04 eta: 1:55:37 time: 0.346443 data_time: 0.031210 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.930861 2023/08/10 00:59:10 - mmengine - INFO - Epoch(train) [150][120/327] lr: 5.000000e-04 eta: 1:55:33 time: 0.351413 data_time: 0.032418 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.914981 2023/08/10 00:59:13 - mmengine - INFO - Epoch(train) [150][130/327] lr: 5.000000e-04 eta: 1:55:30 time: 0.350478 data_time: 0.033263 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.915805 2023/08/10 00:59:16 - mmengine - INFO - Epoch(train) [150][140/327] lr: 5.000000e-04 eta: 1:55:26 time: 0.348855 data_time: 0.033823 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.897373 2023/08/10 00:59:20 - mmengine - INFO - Epoch(train) [150][150/327] lr: 5.000000e-04 eta: 1:55:23 time: 0.346982 data_time: 0.034122 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.897951 2023/08/10 00:59:23 - mmengine - INFO - Epoch(train) [150][160/327] lr: 5.000000e-04 eta: 1:55:19 time: 0.343465 data_time: 0.034319 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.958046 2023/08/10 00:59:27 - mmengine - INFO - Epoch(train) [150][170/327] lr: 5.000000e-04 eta: 1:55:16 time: 0.339889 data_time: 0.034172 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.905956 2023/08/10 00:59:30 - mmengine - INFO - Epoch(train) [150][180/327] lr: 5.000000e-04 eta: 1:55:12 time: 0.340372 data_time: 0.033886 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.922354 2023/08/10 00:59:33 - mmengine - INFO - Epoch(train) [150][190/327] lr: 5.000000e-04 eta: 1:55:09 time: 0.341026 data_time: 0.034027 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.925671 2023/08/10 00:59:37 - mmengine - INFO - Epoch(train) [150][200/327] lr: 5.000000e-04 eta: 1:55:05 time: 0.340486 data_time: 0.033555 memory: 4563 loss: 0.000580 loss_kpt: 0.000580 acc_pose: 0.914655 2023/08/10 00:59:40 - mmengine - INFO - Epoch(train) [150][210/327] lr: 5.000000e-04 eta: 1:55:02 time: 0.339663 data_time: 0.032858 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.932106 2023/08/10 00:59:44 - mmengine - INFO - Epoch(train) [150][220/327] lr: 5.000000e-04 eta: 1:54:58 time: 0.338113 data_time: 0.031937 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.946510 2023/08/10 00:59:47 - mmengine - INFO - Epoch(train) [150][230/327] lr: 5.000000e-04 eta: 1:54:55 time: 0.342981 data_time: 0.031455 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.964594 2023/08/10 00:59:51 - mmengine - INFO - Epoch(train) [150][240/327] lr: 5.000000e-04 eta: 1:54:51 time: 0.356890 data_time: 0.031163 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.924290 2023/08/10 00:59:55 - mmengine - INFO - Epoch(train) [150][250/327] lr: 5.000000e-04 eta: 1:54:48 time: 0.361826 data_time: 0.031224 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.950538 2023/08/10 00:59:58 - mmengine - INFO - Epoch(train) [150][260/327] lr: 5.000000e-04 eta: 1:54:44 time: 0.362154 data_time: 0.031315 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.947886 2023/08/10 01:00:02 - mmengine - INFO - Epoch(train) [150][270/327] lr: 5.000000e-04 eta: 1:54:41 time: 0.362131 data_time: 0.031401 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.954696 2023/08/10 01:00:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:00:05 - mmengine - INFO - Epoch(train) [150][280/327] lr: 5.000000e-04 eta: 1:54:37 time: 0.356964 data_time: 0.031323 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.923548 2023/08/10 01:00:08 - mmengine - INFO - Epoch(train) [150][290/327] lr: 5.000000e-04 eta: 1:54:34 time: 0.342205 data_time: 0.030876 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.923835 2023/08/10 01:00:12 - mmengine - INFO - Epoch(train) [150][300/327] lr: 5.000000e-04 eta: 1:54:30 time: 0.338976 data_time: 0.030793 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.843318 2023/08/10 01:00:16 - mmengine - INFO - Epoch(train) [150][310/327] lr: 5.000000e-04 eta: 1:54:27 time: 0.343659 data_time: 0.031912 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.932738 2023/08/10 01:00:19 - mmengine - INFO - Epoch(train) [150][320/327] lr: 5.000000e-04 eta: 1:54:23 time: 0.344777 data_time: 0.031942 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.921360 2023/08/10 01:00:21 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:00:21 - mmengine - INFO - Saving checkpoint at 150 epochs 2023/08/10 01:00:27 - mmengine - INFO - Epoch(val) [150][10/79] eta: 0:00:14 time: 0.195219 data_time: 0.013474 memory: 4563 2023/08/10 01:00:29 - mmengine - INFO - Epoch(val) [150][20/79] eta: 0:00:12 time: 0.198101 data_time: 0.016376 memory: 1634 2023/08/10 01:00:31 - mmengine - INFO - Epoch(val) [150][30/79] eta: 0:00:09 time: 0.198078 data_time: 0.016371 memory: 1634 2023/08/10 01:00:33 - mmengine - INFO - Epoch(val) [150][40/79] eta: 0:00:07 time: 0.198231 data_time: 0.016460 memory: 1634 2023/08/10 01:00:35 - mmengine - INFO - Epoch(val) [150][50/79] eta: 0:00:05 time: 0.200687 data_time: 0.016857 memory: 1634 2023/08/10 01:00:37 - mmengine - INFO - Epoch(val) [150][60/79] eta: 0:00:03 time: 0.198520 data_time: 0.014929 memory: 1634 2023/08/10 01:00:39 - mmengine - INFO - Epoch(val) [150][70/79] eta: 0:00:01 time: 0.195691 data_time: 0.012102 memory: 1634 2023/08/10 01:00:41 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 01:00:41 - mmengine - INFO - Evaluating AUC... 2023/08/10 01:00:41 - mmengine - INFO - Evaluating EPE... 2023/08/10 01:00:41 - mmengine - INFO - Epoch(val) [150][79/79] PCK: 0.977342 AUC: 0.756328 EPE: 8.913036 data_time: 0.014923 time: 0.196479 2023/08/10 01:00:45 - mmengine - INFO - Epoch(train) [151][ 10/327] lr: 5.000000e-04 eta: 1:54:17 time: 0.347735 data_time: 0.036434 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.904749 2023/08/10 01:00:48 - mmengine - INFO - Epoch(train) [151][ 20/327] lr: 5.000000e-04 eta: 1:54:14 time: 0.344806 data_time: 0.036082 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.955357 2023/08/10 01:00:51 - mmengine - INFO - Epoch(train) [151][ 30/327] lr: 5.000000e-04 eta: 1:54:10 time: 0.340401 data_time: 0.034844 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.913403 2023/08/10 01:00:54 - mmengine - INFO - Epoch(train) [151][ 40/327] lr: 5.000000e-04 eta: 1:54:07 time: 0.335722 data_time: 0.034580 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.936816 2023/08/10 01:00:58 - mmengine - INFO - Epoch(train) [151][ 50/327] lr: 5.000000e-04 eta: 1:54:03 time: 0.335122 data_time: 0.034999 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.882059 2023/08/10 01:01:01 - mmengine - INFO - Epoch(train) [151][ 60/327] lr: 5.000000e-04 eta: 1:53:59 time: 0.330543 data_time: 0.030363 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.904058 2023/08/10 01:01:05 - mmengine - INFO - Epoch(train) [151][ 70/327] lr: 5.000000e-04 eta: 1:53:56 time: 0.332943 data_time: 0.031130 memory: 4563 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.975000 2023/08/10 01:01:08 - mmengine - INFO - Epoch(train) [151][ 80/327] lr: 5.000000e-04 eta: 1:53:52 time: 0.334213 data_time: 0.031386 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.921419 2023/08/10 01:01:11 - mmengine - INFO - Epoch(train) [151][ 90/327] lr: 5.000000e-04 eta: 1:53:49 time: 0.334529 data_time: 0.031743 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.868762 2023/08/10 01:01:15 - mmengine - INFO - Epoch(train) [151][100/327] lr: 5.000000e-04 eta: 1:53:45 time: 0.334231 data_time: 0.031786 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.874409 2023/08/10 01:01:18 - mmengine - INFO - Epoch(train) [151][110/327] lr: 5.000000e-04 eta: 1:53:42 time: 0.333871 data_time: 0.032146 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.967456 2023/08/10 01:01:21 - mmengine - INFO - Epoch(train) [151][120/327] lr: 5.000000e-04 eta: 1:53:38 time: 0.332857 data_time: 0.032293 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.944425 2023/08/10 01:01:25 - mmengine - INFO - Epoch(train) [151][130/327] lr: 5.000000e-04 eta: 1:53:35 time: 0.334208 data_time: 0.032455 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.947338 2023/08/10 01:01:28 - mmengine - INFO - Epoch(train) [151][140/327] lr: 5.000000e-04 eta: 1:53:31 time: 0.336094 data_time: 0.032381 memory: 4563 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.893750 2023/08/10 01:01:31 - mmengine - INFO - Epoch(train) [151][150/327] lr: 5.000000e-04 eta: 1:53:27 time: 0.335753 data_time: 0.032153 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.927388 2023/08/10 01:01:35 - mmengine - INFO - Epoch(train) [151][160/327] lr: 5.000000e-04 eta: 1:53:24 time: 0.335629 data_time: 0.031272 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.897413 2023/08/10 01:01:38 - mmengine - INFO - Epoch(train) [151][170/327] lr: 5.000000e-04 eta: 1:53:20 time: 0.337685 data_time: 0.033422 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.920498 2023/08/10 01:01:41 - mmengine - INFO - Epoch(train) [151][180/327] lr: 5.000000e-04 eta: 1:53:17 time: 0.335725 data_time: 0.033238 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.908204 2023/08/10 01:01:45 - mmengine - INFO - Epoch(train) [151][190/327] lr: 5.000000e-04 eta: 1:53:13 time: 0.338462 data_time: 0.033214 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.975250 2023/08/10 01:01:49 - mmengine - INFO - Epoch(train) [151][200/327] lr: 5.000000e-04 eta: 1:53:10 time: 0.347725 data_time: 0.033373 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.922065 2023/08/10 01:01:52 - mmengine - INFO - Epoch(train) [151][210/327] lr: 5.000000e-04 eta: 1:53:06 time: 0.349034 data_time: 0.033506 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.888609 2023/08/10 01:01:56 - mmengine - INFO - Epoch(train) [151][220/327] lr: 5.000000e-04 eta: 1:53:03 time: 0.356702 data_time: 0.031005 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.944907 2023/08/10 01:01:59 - mmengine - INFO - Epoch(train) [151][230/327] lr: 5.000000e-04 eta: 1:53:00 time: 0.359513 data_time: 0.031248 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.967113 2023/08/10 01:02:03 - mmengine - INFO - Epoch(train) [151][240/327] lr: 5.000000e-04 eta: 1:52:56 time: 0.354054 data_time: 0.031126 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.930973 2023/08/10 01:02:06 - mmengine - INFO - Epoch(train) [151][250/327] lr: 5.000000e-04 eta: 1:52:52 time: 0.345136 data_time: 0.031283 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.958871 2023/08/10 01:02:09 - mmengine - INFO - Epoch(train) [151][260/327] lr: 5.000000e-04 eta: 1:52:49 time: 0.344558 data_time: 0.031277 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.932471 2023/08/10 01:02:13 - mmengine - INFO - Epoch(train) [151][270/327] lr: 5.000000e-04 eta: 1:52:45 time: 0.335578 data_time: 0.030908 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.929716 2023/08/10 01:02:16 - mmengine - INFO - Epoch(train) [151][280/327] lr: 5.000000e-04 eta: 1:52:42 time: 0.333788 data_time: 0.030864 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.920094 2023/08/10 01:02:19 - mmengine - INFO - Epoch(train) [151][290/327] lr: 5.000000e-04 eta: 1:52:38 time: 0.335096 data_time: 0.031151 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.920236 2023/08/10 01:02:23 - mmengine - INFO - Epoch(train) [151][300/327] lr: 5.000000e-04 eta: 1:52:35 time: 0.335059 data_time: 0.031197 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.921137 2023/08/10 01:02:26 - mmengine - INFO - Epoch(train) [151][310/327] lr: 5.000000e-04 eta: 1:52:31 time: 0.334139 data_time: 0.031512 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.958261 2023/08/10 01:02:29 - mmengine - INFO - Epoch(train) [151][320/327] lr: 5.000000e-04 eta: 1:52:27 time: 0.332962 data_time: 0.031543 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.956589 2023/08/10 01:02:32 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:02:35 - mmengine - INFO - Epoch(train) [152][ 10/327] lr: 5.000000e-04 eta: 1:52:22 time: 0.339197 data_time: 0.034977 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.973830 2023/08/10 01:02:39 - mmengine - INFO - Epoch(train) [152][ 20/327] lr: 5.000000e-04 eta: 1:52:18 time: 0.341162 data_time: 0.034632 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.991071 2023/08/10 01:02:42 - mmengine - INFO - Epoch(train) [152][ 30/327] lr: 5.000000e-04 eta: 1:52:14 time: 0.342867 data_time: 0.034305 memory: 4563 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.958817 2023/08/10 01:02:46 - mmengine - INFO - Epoch(train) [152][ 40/327] lr: 5.000000e-04 eta: 1:52:11 time: 0.344043 data_time: 0.033847 memory: 4563 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.914301 2023/08/10 01:02:49 - mmengine - INFO - Epoch(train) [152][ 50/327] lr: 5.000000e-04 eta: 1:52:07 time: 0.350018 data_time: 0.036985 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.949676 2023/08/10 01:02:53 - mmengine - INFO - Epoch(train) [152][ 60/327] lr: 5.000000e-04 eta: 1:52:04 time: 0.349614 data_time: 0.032744 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.921182 2023/08/10 01:02:57 - mmengine - INFO - Epoch(train) [152][ 70/327] lr: 5.000000e-04 eta: 1:52:01 time: 0.355560 data_time: 0.032759 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.935971 2023/08/10 01:03:00 - mmengine - INFO - Epoch(train) [152][ 80/327] lr: 5.000000e-04 eta: 1:51:57 time: 0.356916 data_time: 0.032929 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.894304 2023/08/10 01:03:03 - mmengine - INFO - Epoch(train) [152][ 90/327] lr: 5.000000e-04 eta: 1:51:54 time: 0.357242 data_time: 0.033237 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.942204 2023/08/10 01:03:07 - mmengine - INFO - Epoch(train) [152][100/327] lr: 5.000000e-04 eta: 1:51:50 time: 0.354190 data_time: 0.030581 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.959409 2023/08/10 01:03:10 - mmengine - INFO - Epoch(train) [152][110/327] lr: 5.000000e-04 eta: 1:51:47 time: 0.347556 data_time: 0.030897 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.874907 2023/08/10 01:03:14 - mmengine - INFO - Epoch(train) [152][120/327] lr: 5.000000e-04 eta: 1:51:43 time: 0.344392 data_time: 0.031282 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.894197 2023/08/10 01:03:17 - mmengine - INFO - Epoch(train) [152][130/327] lr: 5.000000e-04 eta: 1:51:40 time: 0.344594 data_time: 0.031100 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.915768 2023/08/10 01:03:21 - mmengine - INFO - Epoch(train) [152][140/327] lr: 5.000000e-04 eta: 1:51:36 time: 0.345098 data_time: 0.030936 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.923483 2023/08/10 01:03:24 - mmengine - INFO - Epoch(train) [152][150/327] lr: 5.000000e-04 eta: 1:51:33 time: 0.345295 data_time: 0.030820 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.916036 2023/08/10 01:03:28 - mmengine - INFO - Epoch(train) [152][160/327] lr: 5.000000e-04 eta: 1:51:29 time: 0.344814 data_time: 0.030397 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.877407 2023/08/10 01:03:31 - mmengine - INFO - Epoch(train) [152][170/327] lr: 5.000000e-04 eta: 1:51:25 time: 0.342012 data_time: 0.030078 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.855979 2023/08/10 01:03:34 - mmengine - INFO - Epoch(train) [152][180/327] lr: 5.000000e-04 eta: 1:51:22 time: 0.340495 data_time: 0.029942 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.861868 2023/08/10 01:03:38 - mmengine - INFO - Epoch(train) [152][190/327] lr: 5.000000e-04 eta: 1:51:18 time: 0.340932 data_time: 0.030141 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.923737 2023/08/10 01:03:41 - mmengine - INFO - Epoch(train) [152][200/327] lr: 5.000000e-04 eta: 1:51:15 time: 0.345534 data_time: 0.030702 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.927887 2023/08/10 01:03:45 - mmengine - INFO - Epoch(train) [152][210/327] lr: 5.000000e-04 eta: 1:51:11 time: 0.348276 data_time: 0.031671 memory: 4563 loss: 0.000582 loss_kpt: 0.000582 acc_pose: 0.819226 2023/08/10 01:03:48 - mmengine - INFO - Epoch(train) [152][220/327] lr: 5.000000e-04 eta: 1:51:08 time: 0.348134 data_time: 0.031646 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.914883 2023/08/10 01:03:52 - mmengine - INFO - Epoch(train) [152][230/327] lr: 5.000000e-04 eta: 1:51:04 time: 0.350135 data_time: 0.031851 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.934677 2023/08/10 01:03:55 - mmengine - INFO - Epoch(train) [152][240/327] lr: 5.000000e-04 eta: 1:51:01 time: 0.349363 data_time: 0.032252 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.938424 2023/08/10 01:03:59 - mmengine - INFO - Epoch(train) [152][250/327] lr: 5.000000e-04 eta: 1:50:57 time: 0.344922 data_time: 0.032082 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.941092 2023/08/10 01:04:02 - mmengine - INFO - Epoch(train) [152][260/327] lr: 5.000000e-04 eta: 1:50:54 time: 0.344463 data_time: 0.031411 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.951075 2023/08/10 01:04:06 - mmengine - INFO - Epoch(train) [152][270/327] lr: 5.000000e-04 eta: 1:50:50 time: 0.345520 data_time: 0.031464 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.923359 2023/08/10 01:04:09 - mmengine - INFO - Epoch(train) [152][280/327] lr: 5.000000e-04 eta: 1:50:47 time: 0.344304 data_time: 0.031630 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.840873 2023/08/10 01:04:12 - mmengine - INFO - Epoch(train) [152][290/327] lr: 5.000000e-04 eta: 1:50:43 time: 0.343983 data_time: 0.031236 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.909138 2023/08/10 01:04:16 - mmengine - INFO - Epoch(train) [152][300/327] lr: 5.000000e-04 eta: 1:50:40 time: 0.343108 data_time: 0.030790 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.909247 2023/08/10 01:04:19 - mmengine - INFO - Epoch(train) [152][310/327] lr: 5.000000e-04 eta: 1:50:36 time: 0.341026 data_time: 0.030801 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.896481 2023/08/10 01:04:23 - mmengine - INFO - Epoch(train) [152][320/327] lr: 5.000000e-04 eta: 1:50:33 time: 0.343512 data_time: 0.031065 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.945083 2023/08/10 01:04:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:04:29 - mmengine - INFO - Epoch(train) [153][ 10/327] lr: 5.000000e-04 eta: 1:50:27 time: 0.349754 data_time: 0.033922 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.949099 2023/08/10 01:04:32 - mmengine - INFO - Epoch(train) [153][ 20/327] lr: 5.000000e-04 eta: 1:50:23 time: 0.349133 data_time: 0.034263 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.947660 2023/08/10 01:04:36 - mmengine - INFO - Epoch(train) [153][ 30/327] lr: 5.000000e-04 eta: 1:50:20 time: 0.351337 data_time: 0.038390 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.951796 2023/08/10 01:04:39 - mmengine - INFO - Epoch(train) [153][ 40/327] lr: 5.000000e-04 eta: 1:50:16 time: 0.348451 data_time: 0.038355 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.944907 2023/08/10 01:04:42 - mmengine - INFO - Epoch(train) [153][ 50/327] lr: 5.000000e-04 eta: 1:50:13 time: 0.342393 data_time: 0.039383 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.936445 2023/08/10 01:04:46 - mmengine - INFO - Epoch(train) [153][ 60/327] lr: 5.000000e-04 eta: 1:50:09 time: 0.336850 data_time: 0.035554 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.904408 2023/08/10 01:04:49 - mmengine - INFO - Epoch(train) [153][ 70/327] lr: 5.000000e-04 eta: 1:50:06 time: 0.337384 data_time: 0.035185 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.912454 2023/08/10 01:04:53 - mmengine - INFO - Epoch(train) [153][ 80/327] lr: 5.000000e-04 eta: 1:50:02 time: 0.334822 data_time: 0.031099 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.905671 2023/08/10 01:04:56 - mmengine - INFO - Epoch(train) [153][ 90/327] lr: 5.000000e-04 eta: 1:49:59 time: 0.334852 data_time: 0.030721 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.932395 2023/08/10 01:04:59 - mmengine - INFO - Epoch(train) [153][100/327] lr: 5.000000e-04 eta: 1:49:55 time: 0.334332 data_time: 0.030252 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.964901 2023/08/10 01:05:03 - mmengine - INFO - Epoch(train) [153][110/327] lr: 5.000000e-04 eta: 1:49:51 time: 0.333499 data_time: 0.030178 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.938062 2023/08/10 01:05:06 - mmengine - INFO - Epoch(train) [153][120/327] lr: 5.000000e-04 eta: 1:49:48 time: 0.334478 data_time: 0.029972 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.905357 2023/08/10 01:05:09 - mmengine - INFO - Epoch(train) [153][130/327] lr: 5.000000e-04 eta: 1:49:44 time: 0.333576 data_time: 0.030063 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.941441 2023/08/10 01:05:13 - mmengine - INFO - Epoch(train) [153][140/327] lr: 5.000000e-04 eta: 1:49:41 time: 0.333121 data_time: 0.029880 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.945742 2023/08/10 01:05:16 - mmengine - INFO - Epoch(train) [153][150/327] lr: 5.000000e-04 eta: 1:49:37 time: 0.335885 data_time: 0.030207 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.957143 2023/08/10 01:05:20 - mmengine - INFO - Epoch(train) [153][160/327] lr: 5.000000e-04 eta: 1:49:34 time: 0.345567 data_time: 0.030541 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.958871 2023/08/10 01:05:24 - mmengine - INFO - Epoch(train) [153][170/327] lr: 5.000000e-04 eta: 1:49:30 time: 0.352756 data_time: 0.030794 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.930706 2023/08/10 01:05:28 - mmengine - INFO - Epoch(train) [153][180/327] lr: 5.000000e-04 eta: 1:49:27 time: 0.364791 data_time: 0.033909 memory: 4563 loss: 0.000586 loss_kpt: 0.000586 acc_pose: 0.896798 2023/08/10 01:05:31 - mmengine - INFO - Epoch(train) [153][190/327] lr: 5.000000e-04 eta: 1:49:24 time: 0.367481 data_time: 0.034455 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.882184 2023/08/10 01:05:35 - mmengine - INFO - Epoch(train) [153][200/327] lr: 5.000000e-04 eta: 1:49:20 time: 0.374411 data_time: 0.034635 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.974425 2023/08/10 01:05:38 - mmengine - INFO - Epoch(train) [153][210/327] lr: 5.000000e-04 eta: 1:49:17 time: 0.369700 data_time: 0.034707 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.851634 2023/08/10 01:05:42 - mmengine - INFO - Epoch(train) [153][220/327] lr: 5.000000e-04 eta: 1:49:13 time: 0.361406 data_time: 0.034532 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.877963 2023/08/10 01:05:45 - mmengine - INFO - Epoch(train) [153][230/327] lr: 5.000000e-04 eta: 1:49:10 time: 0.349821 data_time: 0.031421 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.971071 2023/08/10 01:05:48 - mmengine - INFO - Epoch(train) [153][240/327] lr: 5.000000e-04 eta: 1:49:06 time: 0.347487 data_time: 0.031179 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.949525 2023/08/10 01:05:52 - mmengine - INFO - Epoch(train) [153][250/327] lr: 5.000000e-04 eta: 1:49:03 time: 0.339429 data_time: 0.030632 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.966379 2023/08/10 01:05:55 - mmengine - INFO - Epoch(train) [153][260/327] lr: 5.000000e-04 eta: 1:48:59 time: 0.335091 data_time: 0.030516 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.900538 2023/08/10 01:05:58 - mmengine - INFO - Epoch(train) [153][270/327] lr: 5.000000e-04 eta: 1:48:55 time: 0.334496 data_time: 0.030519 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.919547 2023/08/10 01:06:02 - mmengine - INFO - Epoch(train) [153][280/327] lr: 5.000000e-04 eta: 1:48:52 time: 0.334699 data_time: 0.030542 memory: 4563 loss: 0.000579 loss_kpt: 0.000579 acc_pose: 0.906368 2023/08/10 01:06:05 - mmengine - INFO - Epoch(train) [153][290/327] lr: 5.000000e-04 eta: 1:48:48 time: 0.336457 data_time: 0.030403 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.957143 2023/08/10 01:06:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:06:08 - mmengine - INFO - Epoch(train) [153][300/327] lr: 5.000000e-04 eta: 1:48:45 time: 0.334551 data_time: 0.030412 memory: 4563 loss: 0.000583 loss_kpt: 0.000583 acc_pose: 0.893491 2023/08/10 01:06:12 - mmengine - INFO - Epoch(train) [153][310/327] lr: 5.000000e-04 eta: 1:48:41 time: 0.333762 data_time: 0.030090 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.904823 2023/08/10 01:06:15 - mmengine - INFO - Epoch(train) [153][320/327] lr: 5.000000e-04 eta: 1:48:38 time: 0.336036 data_time: 0.029909 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.976042 2023/08/10 01:06:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:06:21 - mmengine - INFO - Epoch(train) [154][ 10/327] lr: 5.000000e-04 eta: 1:48:32 time: 0.338853 data_time: 0.032984 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.946693 2023/08/10 01:06:25 - mmengine - INFO - Epoch(train) [154][ 20/327] lr: 5.000000e-04 eta: 1:48:28 time: 0.341878 data_time: 0.033328 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.955642 2023/08/10 01:06:28 - mmengine - INFO - Epoch(train) [154][ 30/327] lr: 5.000000e-04 eta: 1:48:25 time: 0.344313 data_time: 0.033918 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.937050 2023/08/10 01:06:31 - mmengine - INFO - Epoch(train) [154][ 40/327] lr: 5.000000e-04 eta: 1:48:21 time: 0.346348 data_time: 0.034564 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.929164 2023/08/10 01:06:35 - mmengine - INFO - Epoch(train) [154][ 50/327] lr: 5.000000e-04 eta: 1:48:18 time: 0.348078 data_time: 0.036186 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.948867 2023/08/10 01:06:38 - mmengine - INFO - Epoch(train) [154][ 60/327] lr: 5.000000e-04 eta: 1:48:14 time: 0.342003 data_time: 0.032232 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.957471 2023/08/10 01:06:42 - mmengine - INFO - Epoch(train) [154][ 70/327] lr: 5.000000e-04 eta: 1:48:11 time: 0.341281 data_time: 0.032065 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.918532 2023/08/10 01:06:45 - mmengine - INFO - Epoch(train) [154][ 80/327] lr: 5.000000e-04 eta: 1:48:07 time: 0.344282 data_time: 0.032467 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.928241 2023/08/10 01:06:49 - mmengine - INFO - Epoch(train) [154][ 90/327] lr: 5.000000e-04 eta: 1:48:04 time: 0.346219 data_time: 0.032375 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.956897 2023/08/10 01:06:52 - mmengine - INFO - Epoch(train) [154][100/327] lr: 5.000000e-04 eta: 1:48:00 time: 0.345914 data_time: 0.032072 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.865302 2023/08/10 01:06:56 - mmengine - INFO - Epoch(train) [154][110/327] lr: 5.000000e-04 eta: 1:47:57 time: 0.346286 data_time: 0.031698 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.938276 2023/08/10 01:06:59 - mmengine - INFO - Epoch(train) [154][120/327] lr: 5.000000e-04 eta: 1:47:53 time: 0.346625 data_time: 0.031512 memory: 4563 loss: 0.000565 loss_kpt: 0.000565 acc_pose: 0.858306 2023/08/10 01:07:02 - mmengine - INFO - Epoch(train) [154][130/327] lr: 5.000000e-04 eta: 1:47:50 time: 0.343584 data_time: 0.030744 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.855251 2023/08/10 01:07:06 - mmengine - INFO - Epoch(train) [154][140/327] lr: 5.000000e-04 eta: 1:47:46 time: 0.342466 data_time: 0.030337 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.941551 2023/08/10 01:07:09 - mmengine - INFO - Epoch(train) [154][150/327] lr: 5.000000e-04 eta: 1:47:43 time: 0.342235 data_time: 0.030167 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.878824 2023/08/10 01:07:13 - mmengine - INFO - Epoch(train) [154][160/327] lr: 5.000000e-04 eta: 1:47:39 time: 0.346377 data_time: 0.031130 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.957471 2023/08/10 01:07:17 - mmengine - INFO - Epoch(train) [154][170/327] lr: 5.000000e-04 eta: 1:47:36 time: 0.350950 data_time: 0.031168 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.960685 2023/08/10 01:07:20 - mmengine - INFO - Epoch(train) [154][180/327] lr: 5.000000e-04 eta: 1:47:32 time: 0.349734 data_time: 0.030991 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.882543 2023/08/10 01:07:23 - mmengine - INFO - Epoch(train) [154][190/327] lr: 5.000000e-04 eta: 1:47:29 time: 0.348098 data_time: 0.030954 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.975790 2023/08/10 01:07:27 - mmengine - INFO - Epoch(train) [154][200/327] lr: 5.000000e-04 eta: 1:47:25 time: 0.347410 data_time: 0.030866 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.897660 2023/08/10 01:07:30 - mmengine - INFO - Epoch(train) [154][210/327] lr: 5.000000e-04 eta: 1:47:21 time: 0.343536 data_time: 0.029900 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.892407 2023/08/10 01:07:34 - mmengine - INFO - Epoch(train) [154][220/327] lr: 5.000000e-04 eta: 1:47:18 time: 0.340613 data_time: 0.030653 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.957184 2023/08/10 01:07:37 - mmengine - INFO - Epoch(train) [154][230/327] lr: 5.000000e-04 eta: 1:47:14 time: 0.342584 data_time: 0.031104 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.872352 2023/08/10 01:07:40 - mmengine - INFO - Epoch(train) [154][240/327] lr: 5.000000e-04 eta: 1:47:11 time: 0.343190 data_time: 0.031625 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.829563 2023/08/10 01:07:44 - mmengine - INFO - Epoch(train) [154][250/327] lr: 5.000000e-04 eta: 1:47:07 time: 0.343556 data_time: 0.032941 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.895320 2023/08/10 01:07:47 - mmengine - INFO - Epoch(train) [154][260/327] lr: 5.000000e-04 eta: 1:47:04 time: 0.343445 data_time: 0.033847 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.930971 2023/08/10 01:07:51 - mmengine - INFO - Epoch(train) [154][270/327] lr: 5.000000e-04 eta: 1:47:00 time: 0.342210 data_time: 0.034182 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.954978 2023/08/10 01:07:54 - mmengine - INFO - Epoch(train) [154][280/327] lr: 5.000000e-04 eta: 1:46:57 time: 0.341927 data_time: 0.034392 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.911239 2023/08/10 01:07:58 - mmengine - INFO - Epoch(train) [154][290/327] lr: 5.000000e-04 eta: 1:46:53 time: 0.342142 data_time: 0.033906 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.932184 2023/08/10 01:08:01 - mmengine - INFO - Epoch(train) [154][300/327] lr: 5.000000e-04 eta: 1:46:50 time: 0.345353 data_time: 0.032680 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.900992 2023/08/10 01:08:05 - mmengine - INFO - Epoch(train) [154][310/327] lr: 5.000000e-04 eta: 1:46:46 time: 0.350391 data_time: 0.032686 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.912217 2023/08/10 01:08:08 - mmengine - INFO - Epoch(train) [154][320/327] lr: 5.000000e-04 eta: 1:46:43 time: 0.350125 data_time: 0.031838 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.891443 2023/08/10 01:08:11 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:08:14 - mmengine - INFO - Epoch(train) [155][ 10/327] lr: 5.000000e-04 eta: 1:46:37 time: 0.353842 data_time: 0.035787 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.859140 2023/08/10 01:08:18 - mmengine - INFO - Epoch(train) [155][ 20/327] lr: 5.000000e-04 eta: 1:46:34 time: 0.357321 data_time: 0.036275 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.901603 2023/08/10 01:08:22 - mmengine - INFO - Epoch(train) [155][ 30/327] lr: 5.000000e-04 eta: 1:46:30 time: 0.356111 data_time: 0.036016 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.903017 2023/08/10 01:08:25 - mmengine - INFO - Epoch(train) [155][ 40/327] lr: 5.000000e-04 eta: 1:46:27 time: 0.362216 data_time: 0.036352 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.907990 2023/08/10 01:08:29 - mmengine - INFO - Epoch(train) [155][ 50/327] lr: 5.000000e-04 eta: 1:46:23 time: 0.364293 data_time: 0.036629 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.947947 2023/08/10 01:08:32 - mmengine - INFO - Epoch(train) [155][ 60/327] lr: 5.000000e-04 eta: 1:46:20 time: 0.357844 data_time: 0.031899 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.948752 2023/08/10 01:08:36 - mmengine - INFO - Epoch(train) [155][ 70/327] lr: 5.000000e-04 eta: 1:46:16 time: 0.351095 data_time: 0.031422 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.957471 2023/08/10 01:08:39 - mmengine - INFO - Epoch(train) [155][ 80/327] lr: 5.000000e-04 eta: 1:46:13 time: 0.347666 data_time: 0.031233 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.940805 2023/08/10 01:08:42 - mmengine - INFO - Epoch(train) [155][ 90/327] lr: 5.000000e-04 eta: 1:46:09 time: 0.342567 data_time: 0.031122 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.884122 2023/08/10 01:08:46 - mmengine - INFO - Epoch(train) [155][100/327] lr: 5.000000e-04 eta: 1:46:06 time: 0.343854 data_time: 0.031276 memory: 4563 loss: 0.000588 loss_kpt: 0.000588 acc_pose: 0.937723 2023/08/10 01:08:49 - mmengine - INFO - Epoch(train) [155][110/327] lr: 5.000000e-04 eta: 1:46:02 time: 0.345555 data_time: 0.031825 memory: 4563 loss: 0.000584 loss_kpt: 0.000584 acc_pose: 0.917888 2023/08/10 01:08:53 - mmengine - INFO - Epoch(train) [155][120/327] lr: 5.000000e-04 eta: 1:45:59 time: 0.348888 data_time: 0.032990 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.906075 2023/08/10 01:08:56 - mmengine - INFO - Epoch(train) [155][130/327] lr: 5.000000e-04 eta: 1:45:55 time: 0.349760 data_time: 0.033643 memory: 4563 loss: 0.000594 loss_kpt: 0.000594 acc_pose: 0.932990 2023/08/10 01:09:00 - mmengine - INFO - Epoch(train) [155][140/327] lr: 5.000000e-04 eta: 1:45:52 time: 0.355420 data_time: 0.033730 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.925250 2023/08/10 01:09:04 - mmengine - INFO - Epoch(train) [155][150/327] lr: 5.000000e-04 eta: 1:45:48 time: 0.359226 data_time: 0.034311 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.928500 2023/08/10 01:09:08 - mmengine - INFO - Epoch(train) [155][160/327] lr: 5.000000e-04 eta: 1:45:45 time: 0.361565 data_time: 0.034067 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.950521 2023/08/10 01:09:11 - mmengine - INFO - Epoch(train) [155][170/327] lr: 5.000000e-04 eta: 1:45:41 time: 0.359411 data_time: 0.033296 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.872126 2023/08/10 01:09:15 - mmengine - INFO - Epoch(train) [155][180/327] lr: 5.000000e-04 eta: 1:45:38 time: 0.362376 data_time: 0.033703 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.919297 2023/08/10 01:09:18 - mmengine - INFO - Epoch(train) [155][190/327] lr: 5.000000e-04 eta: 1:45:34 time: 0.355502 data_time: 0.033457 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.854301 2023/08/10 01:09:21 - mmengine - INFO - Epoch(train) [155][200/327] lr: 5.000000e-04 eta: 1:45:31 time: 0.350129 data_time: 0.032733 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.877002 2023/08/10 01:09:25 - mmengine - INFO - Epoch(train) [155][210/327] lr: 5.000000e-04 eta: 1:45:27 time: 0.346258 data_time: 0.032652 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.935821 2023/08/10 01:09:28 - mmengine - INFO - Epoch(train) [155][220/327] lr: 5.000000e-04 eta: 1:45:24 time: 0.345510 data_time: 0.032356 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.947927 2023/08/10 01:09:32 - mmengine - INFO - Epoch(train) [155][230/327] lr: 5.000000e-04 eta: 1:45:20 time: 0.342539 data_time: 0.032011 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.959409 2023/08/10 01:09:36 - mmengine - INFO - Epoch(train) [155][240/327] lr: 5.000000e-04 eta: 1:45:17 time: 0.348999 data_time: 0.032450 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.975269 2023/08/10 01:09:39 - mmengine - INFO - Epoch(train) [155][250/327] lr: 5.000000e-04 eta: 1:45:13 time: 0.349144 data_time: 0.032401 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.923603 2023/08/10 01:09:42 - mmengine - INFO - Epoch(train) [155][260/327] lr: 5.000000e-04 eta: 1:45:10 time: 0.348914 data_time: 0.032174 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.865425 2023/08/10 01:09:46 - mmengine - INFO - Epoch(train) [155][270/327] lr: 5.000000e-04 eta: 1:45:06 time: 0.349187 data_time: 0.032156 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.871864 2023/08/10 01:09:49 - mmengine - INFO - Epoch(train) [155][280/327] lr: 5.000000e-04 eta: 1:45:03 time: 0.348502 data_time: 0.031286 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.935925 2023/08/10 01:09:53 - mmengine - INFO - Epoch(train) [155][290/327] lr: 5.000000e-04 eta: 1:44:59 time: 0.343325 data_time: 0.030666 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.983333 2023/08/10 01:09:56 - mmengine - INFO - Epoch(train) [155][300/327] lr: 5.000000e-04 eta: 1:44:56 time: 0.347855 data_time: 0.031006 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.983007 2023/08/10 01:10:00 - mmengine - INFO - Epoch(train) [155][310/327] lr: 5.000000e-04 eta: 1:44:52 time: 0.351699 data_time: 0.031153 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.941488 2023/08/10 01:10:03 - mmengine - INFO - Epoch(train) [155][320/327] lr: 5.000000e-04 eta: 1:44:49 time: 0.352626 data_time: 0.031218 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.880556 2023/08/10 01:10:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:10:09 - mmengine - INFO - Epoch(train) [156][ 10/327] lr: 5.000000e-04 eta: 1:44:43 time: 0.354550 data_time: 0.036088 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.903489 2023/08/10 01:10:13 - mmengine - INFO - Epoch(train) [156][ 20/327] lr: 5.000000e-04 eta: 1:44:39 time: 0.357710 data_time: 0.036278 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.912200 2023/08/10 01:10:17 - mmengine - INFO - Epoch(train) [156][ 30/327] lr: 5.000000e-04 eta: 1:44:36 time: 0.359490 data_time: 0.036437 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.931589 2023/08/10 01:10:20 - mmengine - INFO - Epoch(train) [156][ 40/327] lr: 5.000000e-04 eta: 1:44:33 time: 0.357480 data_time: 0.036765 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.945767 2023/08/10 01:10:24 - mmengine - INFO - Epoch(train) [156][ 50/327] lr: 5.000000e-04 eta: 1:44:29 time: 0.359895 data_time: 0.037277 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.929757 2023/08/10 01:10:27 - mmengine - INFO - Epoch(train) [156][ 60/327] lr: 5.000000e-04 eta: 1:44:26 time: 0.354475 data_time: 0.032006 memory: 4563 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.991667 2023/08/10 01:10:30 - mmengine - INFO - Epoch(train) [156][ 70/327] lr: 5.000000e-04 eta: 1:44:22 time: 0.348686 data_time: 0.031543 memory: 4563 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.957949 2023/08/10 01:10:34 - mmengine - INFO - Epoch(train) [156][ 80/327] lr: 5.000000e-04 eta: 1:44:18 time: 0.341570 data_time: 0.031570 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.966379 2023/08/10 01:10:37 - mmengine - INFO - Epoch(train) [156][ 90/327] lr: 5.000000e-04 eta: 1:44:15 time: 0.341138 data_time: 0.031179 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.916880 2023/08/10 01:10:41 - mmengine - INFO - Epoch(train) [156][100/327] lr: 5.000000e-04 eta: 1:44:11 time: 0.340450 data_time: 0.031143 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.983871 2023/08/10 01:10:44 - mmengine - INFO - Epoch(train) [156][110/327] lr: 5.000000e-04 eta: 1:44:08 time: 0.342253 data_time: 0.031325 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.886351 2023/08/10 01:10:48 - mmengine - INFO - Epoch(train) [156][120/327] lr: 5.000000e-04 eta: 1:44:04 time: 0.346607 data_time: 0.031597 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.885215 2023/08/10 01:10:51 - mmengine - INFO - Epoch(train) [156][130/327] lr: 5.000000e-04 eta: 1:44:01 time: 0.347972 data_time: 0.031963 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.906897 2023/08/10 01:10:55 - mmengine - INFO - Epoch(train) [156][140/327] lr: 5.000000e-04 eta: 1:43:57 time: 0.350544 data_time: 0.031957 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.906841 2023/08/10 01:10:58 - mmengine - INFO - Epoch(train) [156][150/327] lr: 5.000000e-04 eta: 1:43:54 time: 0.351191 data_time: 0.031775 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.907519 2023/08/10 01:11:02 - mmengine - INFO - Epoch(train) [156][160/327] lr: 5.000000e-04 eta: 1:43:51 time: 0.353266 data_time: 0.034608 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.828736 2023/08/10 01:11:05 - mmengine - INFO - Epoch(train) [156][170/327] lr: 5.000000e-04 eta: 1:43:47 time: 0.352545 data_time: 0.034461 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.870816 2023/08/10 01:11:09 - mmengine - INFO - Epoch(train) [156][180/327] lr: 5.000000e-04 eta: 1:43:44 time: 0.354129 data_time: 0.034048 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.906918 2023/08/10 01:11:13 - mmengine - INFO - Epoch(train) [156][190/327] lr: 5.000000e-04 eta: 1:43:40 time: 0.356119 data_time: 0.035083 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.882972 2023/08/10 01:11:16 - mmengine - INFO - Epoch(train) [156][200/327] lr: 5.000000e-04 eta: 1:43:37 time: 0.363112 data_time: 0.035783 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.941283 2023/08/10 01:11:20 - mmengine - INFO - Epoch(train) [156][210/327] lr: 5.000000e-04 eta: 1:43:33 time: 0.367706 data_time: 0.033506 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.902885 2023/08/10 01:11:24 - mmengine - INFO - Epoch(train) [156][220/327] lr: 5.000000e-04 eta: 1:43:30 time: 0.372202 data_time: 0.033955 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.876539 2023/08/10 01:11:28 - mmengine - INFO - Epoch(train) [156][230/327] lr: 5.000000e-04 eta: 1:43:27 time: 0.375459 data_time: 0.034603 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.935474 2023/08/10 01:11:31 - mmengine - INFO - Epoch(train) [156][240/327] lr: 5.000000e-04 eta: 1:43:23 time: 0.376358 data_time: 0.033908 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.895844 2023/08/10 01:11:35 - mmengine - INFO - Epoch(train) [156][250/327] lr: 5.000000e-04 eta: 1:43:20 time: 0.372718 data_time: 0.034013 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.946714 2023/08/10 01:11:38 - mmengine - INFO - Epoch(train) [156][260/327] lr: 5.000000e-04 eta: 1:43:16 time: 0.363947 data_time: 0.033293 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.951075 2023/08/10 01:11:42 - mmengine - INFO - Epoch(train) [156][270/327] lr: 5.000000e-04 eta: 1:43:13 time: 0.355652 data_time: 0.032567 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.913045 2023/08/10 01:11:45 - mmengine - INFO - Epoch(train) [156][280/327] lr: 5.000000e-04 eta: 1:43:09 time: 0.349556 data_time: 0.031545 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.869217 2023/08/10 01:11:49 - mmengine - INFO - Epoch(train) [156][290/327] lr: 5.000000e-04 eta: 1:43:06 time: 0.347269 data_time: 0.031403 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.937500 2023/08/10 01:11:52 - mmengine - INFO - Epoch(train) [156][300/327] lr: 5.000000e-04 eta: 1:43:02 time: 0.344501 data_time: 0.030905 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.897050 2023/08/10 01:11:56 - mmengine - INFO - Epoch(train) [156][310/327] lr: 5.000000e-04 eta: 1:42:59 time: 0.345153 data_time: 0.031040 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.963955 2023/08/10 01:11:57 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:11:59 - mmengine - INFO - Epoch(train) [156][320/327] lr: 5.000000e-04 eta: 1:42:55 time: 0.347094 data_time: 0.031663 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.957184 2023/08/10 01:12:02 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:12:05 - mmengine - INFO - Epoch(train) [157][ 10/327] lr: 5.000000e-04 eta: 1:42:49 time: 0.345906 data_time: 0.035009 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.935516 2023/08/10 01:12:09 - mmengine - INFO - Epoch(train) [157][ 20/327] lr: 5.000000e-04 eta: 1:42:46 time: 0.343706 data_time: 0.034445 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.930502 2023/08/10 01:12:12 - mmengine - INFO - Epoch(train) [157][ 30/327] lr: 5.000000e-04 eta: 1:42:42 time: 0.343575 data_time: 0.034504 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.965146 2023/08/10 01:12:15 - mmengine - INFO - Epoch(train) [157][ 40/327] lr: 5.000000e-04 eta: 1:42:39 time: 0.343793 data_time: 0.034043 memory: 4563 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.938776 2023/08/10 01:12:19 - mmengine - INFO - Epoch(train) [157][ 50/327] lr: 5.000000e-04 eta: 1:42:35 time: 0.349339 data_time: 0.034428 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.884635 2023/08/10 01:12:22 - mmengine - INFO - Epoch(train) [157][ 60/327] lr: 5.000000e-04 eta: 1:42:32 time: 0.347230 data_time: 0.031014 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.947222 2023/08/10 01:12:26 - mmengine - INFO - Epoch(train) [157][ 70/327] lr: 5.000000e-04 eta: 1:42:28 time: 0.347284 data_time: 0.031222 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.865907 2023/08/10 01:12:29 - mmengine - INFO - Epoch(train) [157][ 80/327] lr: 5.000000e-04 eta: 1:42:25 time: 0.347373 data_time: 0.031202 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.862103 2023/08/10 01:12:33 - mmengine - INFO - Epoch(train) [157][ 90/327] lr: 5.000000e-04 eta: 1:42:21 time: 0.345153 data_time: 0.031153 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.931398 2023/08/10 01:12:36 - mmengine - INFO - Epoch(train) [157][100/327] lr: 5.000000e-04 eta: 1:42:17 time: 0.341684 data_time: 0.031052 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.883481 2023/08/10 01:12:40 - mmengine - INFO - Epoch(train) [157][110/327] lr: 5.000000e-04 eta: 1:42:14 time: 0.344501 data_time: 0.031393 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.920584 2023/08/10 01:12:44 - mmengine - INFO - Epoch(train) [157][120/327] lr: 5.000000e-04 eta: 1:42:11 time: 0.354662 data_time: 0.034999 memory: 4563 loss: 0.000569 loss_kpt: 0.000569 acc_pose: 0.955573 2023/08/10 01:12:47 - mmengine - INFO - Epoch(train) [157][130/327] lr: 5.000000e-04 eta: 1:42:07 time: 0.356494 data_time: 0.035187 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.942367 2023/08/10 01:12:51 - mmengine - INFO - Epoch(train) [157][140/327] lr: 5.000000e-04 eta: 1:42:04 time: 0.358891 data_time: 0.035197 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.967690 2023/08/10 01:12:54 - mmengine - INFO - Epoch(train) [157][150/327] lr: 5.000000e-04 eta: 1:42:00 time: 0.359274 data_time: 0.036768 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.899425 2023/08/10 01:12:57 - mmengine - INFO - Epoch(train) [157][160/327] lr: 5.000000e-04 eta: 1:41:57 time: 0.354222 data_time: 0.036226 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.943122 2023/08/10 01:13:01 - mmengine - INFO - Epoch(train) [157][170/327] lr: 5.000000e-04 eta: 1:41:53 time: 0.344264 data_time: 0.032761 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.928522 2023/08/10 01:13:04 - mmengine - INFO - Epoch(train) [157][180/327] lr: 5.000000e-04 eta: 1:41:50 time: 0.343595 data_time: 0.032762 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.892937 2023/08/10 01:13:08 - mmengine - INFO - Epoch(train) [157][190/327] lr: 5.000000e-04 eta: 1:41:46 time: 0.342025 data_time: 0.032729 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.946908 2023/08/10 01:13:11 - mmengine - INFO - Epoch(train) [157][200/327] lr: 5.000000e-04 eta: 1:41:43 time: 0.346228 data_time: 0.031401 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.942324 2023/08/10 01:13:15 - mmengine - INFO - Epoch(train) [157][210/327] lr: 5.000000e-04 eta: 1:41:39 time: 0.346310 data_time: 0.031290 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.888385 2023/08/10 01:13:18 - mmengine - INFO - Epoch(train) [157][220/327] lr: 5.000000e-04 eta: 1:41:36 time: 0.345667 data_time: 0.030903 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.876042 2023/08/10 01:13:22 - mmengine - INFO - Epoch(train) [157][230/327] lr: 5.000000e-04 eta: 1:41:32 time: 0.345139 data_time: 0.031243 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.934608 2023/08/10 01:13:25 - mmengine - INFO - Epoch(train) [157][240/327] lr: 5.000000e-04 eta: 1:41:29 time: 0.346040 data_time: 0.031981 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.919823 2023/08/10 01:13:29 - mmengine - INFO - Epoch(train) [157][250/327] lr: 5.000000e-04 eta: 1:41:25 time: 0.342708 data_time: 0.032119 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.839080 2023/08/10 01:13:32 - mmengine - INFO - Epoch(train) [157][260/327] lr: 5.000000e-04 eta: 1:41:22 time: 0.343696 data_time: 0.032101 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.926525 2023/08/10 01:13:35 - mmengine - INFO - Epoch(train) [157][270/327] lr: 5.000000e-04 eta: 1:41:18 time: 0.345539 data_time: 0.032633 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.907894 2023/08/10 01:13:39 - mmengine - INFO - Epoch(train) [157][280/327] lr: 5.000000e-04 eta: 1:41:14 time: 0.345191 data_time: 0.032043 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.859598 2023/08/10 01:13:42 - mmengine - INFO - Epoch(train) [157][290/327] lr: 5.000000e-04 eta: 1:41:11 time: 0.344990 data_time: 0.031741 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.887541 2023/08/10 01:13:46 - mmengine - INFO - Epoch(train) [157][300/327] lr: 5.000000e-04 eta: 1:41:07 time: 0.346856 data_time: 0.031386 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.937411 2023/08/10 01:13:49 - mmengine - INFO - Epoch(train) [157][310/327] lr: 5.000000e-04 eta: 1:41:04 time: 0.346343 data_time: 0.031924 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.910623 2023/08/10 01:13:53 - mmengine - INFO - Epoch(train) [157][320/327] lr: 5.000000e-04 eta: 1:41:00 time: 0.347768 data_time: 0.031683 memory: 4563 loss: 0.000577 loss_kpt: 0.000577 acc_pose: 0.934821 2023/08/10 01:13:55 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:13:59 - mmengine - INFO - Epoch(train) [158][ 10/327] lr: 5.000000e-04 eta: 1:40:55 time: 0.350125 data_time: 0.034917 memory: 4563 loss: 0.000575 loss_kpt: 0.000575 acc_pose: 0.939907 2023/08/10 01:14:02 - mmengine - INFO - Epoch(train) [158][ 20/327] lr: 5.000000e-04 eta: 1:40:51 time: 0.348935 data_time: 0.034767 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.910022 2023/08/10 01:14:06 - mmengine - INFO - Epoch(train) [158][ 30/327] lr: 5.000000e-04 eta: 1:40:48 time: 0.348672 data_time: 0.034645 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.927204 2023/08/10 01:14:09 - mmengine - INFO - Epoch(train) [158][ 40/327] lr: 5.000000e-04 eta: 1:40:44 time: 0.349175 data_time: 0.034769 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.932001 2023/08/10 01:14:13 - mmengine - INFO - Epoch(train) [158][ 50/327] lr: 5.000000e-04 eta: 1:40:41 time: 0.353740 data_time: 0.035162 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.956589 2023/08/10 01:14:16 - mmengine - INFO - Epoch(train) [158][ 60/327] lr: 5.000000e-04 eta: 1:40:37 time: 0.351051 data_time: 0.031360 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.921490 2023/08/10 01:14:20 - mmengine - INFO - Epoch(train) [158][ 70/327] lr: 5.000000e-04 eta: 1:40:34 time: 0.348867 data_time: 0.031331 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.958602 2023/08/10 01:14:23 - mmengine - INFO - Epoch(train) [158][ 80/327] lr: 5.000000e-04 eta: 1:40:30 time: 0.350014 data_time: 0.031622 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.935736 2023/08/10 01:14:27 - mmengine - INFO - Epoch(train) [158][ 90/327] lr: 5.000000e-04 eta: 1:40:27 time: 0.346199 data_time: 0.030907 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.886462 2023/08/10 01:14:30 - mmengine - INFO - Epoch(train) [158][100/327] lr: 5.000000e-04 eta: 1:40:23 time: 0.341845 data_time: 0.030666 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.962821 2023/08/10 01:14:33 - mmengine - INFO - Epoch(train) [158][110/327] lr: 5.000000e-04 eta: 1:40:19 time: 0.340111 data_time: 0.030426 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.903592 2023/08/10 01:14:37 - mmengine - INFO - Epoch(train) [158][120/327] lr: 5.000000e-04 eta: 1:40:16 time: 0.341771 data_time: 0.030506 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.928142 2023/08/10 01:14:40 - mmengine - INFO - Epoch(train) [158][130/327] lr: 5.000000e-04 eta: 1:40:13 time: 0.345164 data_time: 0.033487 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.958813 2023/08/10 01:14:44 - mmengine - INFO - Epoch(train) [158][140/327] lr: 5.000000e-04 eta: 1:40:09 time: 0.346712 data_time: 0.034310 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.933834 2023/08/10 01:14:47 - mmengine - INFO - Epoch(train) [158][150/327] lr: 5.000000e-04 eta: 1:40:05 time: 0.348647 data_time: 0.034710 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.941342 2023/08/10 01:14:51 - mmengine - INFO - Epoch(train) [158][160/327] lr: 5.000000e-04 eta: 1:40:02 time: 0.348770 data_time: 0.034735 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.888195 2023/08/10 01:14:54 - mmengine - INFO - Epoch(train) [158][170/327] lr: 5.000000e-04 eta: 1:39:58 time: 0.346509 data_time: 0.034663 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.964901 2023/08/10 01:14:58 - mmengine - INFO - Epoch(train) [158][180/327] lr: 5.000000e-04 eta: 1:39:55 time: 0.342283 data_time: 0.031450 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.940805 2023/08/10 01:15:01 - mmengine - INFO - Epoch(train) [158][190/327] lr: 5.000000e-04 eta: 1:39:51 time: 0.341342 data_time: 0.030870 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.902188 2023/08/10 01:15:05 - mmengine - INFO - Epoch(train) [158][200/327] lr: 5.000000e-04 eta: 1:39:48 time: 0.341680 data_time: 0.031123 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.920437 2023/08/10 01:15:08 - mmengine - INFO - Epoch(train) [158][210/327] lr: 5.000000e-04 eta: 1:39:44 time: 0.343761 data_time: 0.031434 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.863706 2023/08/10 01:15:11 - mmengine - INFO - Epoch(train) [158][220/327] lr: 5.000000e-04 eta: 1:39:41 time: 0.345140 data_time: 0.031984 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.919052 2023/08/10 01:15:15 - mmengine - INFO - Epoch(train) [158][230/327] lr: 5.000000e-04 eta: 1:39:37 time: 0.347871 data_time: 0.032072 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.974942 2023/08/10 01:15:19 - mmengine - INFO - Epoch(train) [158][240/327] lr: 5.000000e-04 eta: 1:39:34 time: 0.351167 data_time: 0.032095 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.982451 2023/08/10 01:15:22 - mmengine - INFO - Epoch(train) [158][250/327] lr: 5.000000e-04 eta: 1:39:30 time: 0.351316 data_time: 0.031441 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.902352 2023/08/10 01:15:26 - mmengine - INFO - Epoch(train) [158][260/327] lr: 5.000000e-04 eta: 1:39:27 time: 0.356588 data_time: 0.031382 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.839312 2023/08/10 01:15:29 - mmengine - INFO - Epoch(train) [158][270/327] lr: 5.000000e-04 eta: 1:39:24 time: 0.356438 data_time: 0.031380 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.934304 2023/08/10 01:15:33 - mmengine - INFO - Epoch(train) [158][280/327] lr: 5.000000e-04 eta: 1:39:20 time: 0.355251 data_time: 0.031800 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.932471 2023/08/10 01:15:36 - mmengine - INFO - Epoch(train) [158][290/327] lr: 5.000000e-04 eta: 1:39:17 time: 0.353711 data_time: 0.032070 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.914228 2023/08/10 01:15:40 - mmengine - INFO - Epoch(train) [158][300/327] lr: 5.000000e-04 eta: 1:39:13 time: 0.352640 data_time: 0.032285 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.910193 2023/08/10 01:15:43 - mmengine - INFO - Epoch(train) [158][310/327] lr: 5.000000e-04 eta: 1:39:10 time: 0.346274 data_time: 0.032051 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.957144 2023/08/10 01:15:47 - mmengine - INFO - Epoch(train) [158][320/327] lr: 5.000000e-04 eta: 1:39:06 time: 0.345869 data_time: 0.031687 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.916379 2023/08/10 01:15:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:15:53 - mmengine - INFO - Epoch(train) [159][ 10/327] lr: 5.000000e-04 eta: 1:39:00 time: 0.348191 data_time: 0.034250 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.942455 2023/08/10 01:15:56 - mmengine - INFO - Epoch(train) [159][ 20/327] lr: 5.000000e-04 eta: 1:38:57 time: 0.346923 data_time: 0.034133 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.918506 2023/08/10 01:16:00 - mmengine - INFO - Epoch(train) [159][ 30/327] lr: 5.000000e-04 eta: 1:38:53 time: 0.346731 data_time: 0.034300 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.928984 2023/08/10 01:16:03 - mmengine - INFO - Epoch(train) [159][ 40/327] lr: 5.000000e-04 eta: 1:38:49 time: 0.344007 data_time: 0.034335 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.931994 2023/08/10 01:16:06 - mmengine - INFO - Epoch(train) [159][ 50/327] lr: 5.000000e-04 eta: 1:38:46 time: 0.343937 data_time: 0.035703 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.860315 2023/08/10 01:16:09 - mmengine - INFO - Epoch(train) [159][ 60/327] lr: 5.000000e-04 eta: 1:38:42 time: 0.335385 data_time: 0.031190 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.923543 2023/08/10 01:16:13 - mmengine - INFO - Epoch(train) [159][ 70/327] lr: 5.000000e-04 eta: 1:38:39 time: 0.338509 data_time: 0.031247 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.861727 2023/08/10 01:16:17 - mmengine - INFO - Epoch(train) [159][ 80/327] lr: 5.000000e-04 eta: 1:38:35 time: 0.341580 data_time: 0.031330 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.879536 2023/08/10 01:16:20 - mmengine - INFO - Epoch(train) [159][ 90/327] lr: 5.000000e-04 eta: 1:38:32 time: 0.343464 data_time: 0.031316 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.947826 2023/08/10 01:16:23 - mmengine - INFO - Epoch(train) [159][100/327] lr: 5.000000e-04 eta: 1:38:28 time: 0.344753 data_time: 0.030894 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.957738 2023/08/10 01:16:27 - mmengine - INFO - Epoch(train) [159][110/327] lr: 5.000000e-04 eta: 1:38:25 time: 0.344704 data_time: 0.031246 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.933278 2023/08/10 01:16:30 - mmengine - INFO - Epoch(train) [159][120/327] lr: 5.000000e-04 eta: 1:38:21 time: 0.341050 data_time: 0.030988 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.845899 2023/08/10 01:16:34 - mmengine - INFO - Epoch(train) [159][130/327] lr: 5.000000e-04 eta: 1:38:18 time: 0.339177 data_time: 0.030630 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.958780 2023/08/10 01:16:37 - mmengine - INFO - Epoch(train) [159][140/327] lr: 5.000000e-04 eta: 1:38:14 time: 0.338634 data_time: 0.030929 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.945268 2023/08/10 01:16:40 - mmengine - INFO - Epoch(train) [159][150/327] lr: 5.000000e-04 eta: 1:38:11 time: 0.340687 data_time: 0.031206 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.831451 2023/08/10 01:16:44 - mmengine - INFO - Epoch(train) [159][160/327] lr: 5.000000e-04 eta: 1:38:07 time: 0.344099 data_time: 0.031009 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.897662 2023/08/10 01:16:47 - mmengine - INFO - Epoch(train) [159][170/327] lr: 5.000000e-04 eta: 1:38:04 time: 0.343923 data_time: 0.031165 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.941490 2023/08/10 01:16:51 - mmengine - INFO - Epoch(train) [159][180/327] lr: 5.000000e-04 eta: 1:38:00 time: 0.340363 data_time: 0.031263 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.927912 2023/08/10 01:16:54 - mmengine - INFO - Epoch(train) [159][190/327] lr: 5.000000e-04 eta: 1:37:57 time: 0.338539 data_time: 0.030737 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.931548 2023/08/10 01:16:57 - mmengine - INFO - Epoch(train) [159][200/327] lr: 5.000000e-04 eta: 1:37:53 time: 0.334627 data_time: 0.030324 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.923830 2023/08/10 01:17:01 - mmengine - INFO - Epoch(train) [159][210/327] lr: 5.000000e-04 eta: 1:37:49 time: 0.332272 data_time: 0.030250 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.928050 2023/08/10 01:17:04 - mmengine - INFO - Epoch(train) [159][220/327] lr: 5.000000e-04 eta: 1:37:46 time: 0.335884 data_time: 0.030353 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.950700 2023/08/10 01:17:08 - mmengine - INFO - Epoch(train) [159][230/327] lr: 5.000000e-04 eta: 1:37:42 time: 0.338526 data_time: 0.030545 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.937169 2023/08/10 01:17:11 - mmengine - INFO - Epoch(train) [159][240/327] lr: 5.000000e-04 eta: 1:37:39 time: 0.340940 data_time: 0.030623 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.938093 2023/08/10 01:17:14 - mmengine - INFO - Epoch(train) [159][250/327] lr: 5.000000e-04 eta: 1:37:35 time: 0.341328 data_time: 0.030765 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.883066 2023/08/10 01:17:18 - mmengine - INFO - Epoch(train) [159][260/327] lr: 5.000000e-04 eta: 1:37:32 time: 0.342672 data_time: 0.030646 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.917870 2023/08/10 01:17:21 - mmengine - INFO - Epoch(train) [159][270/327] lr: 5.000000e-04 eta: 1:37:28 time: 0.342627 data_time: 0.030402 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.973522 2023/08/10 01:17:25 - mmengine - INFO - Epoch(train) [159][280/327] lr: 5.000000e-04 eta: 1:37:25 time: 0.343532 data_time: 0.030892 memory: 4563 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.982759 2023/08/10 01:17:28 - mmengine - INFO - Epoch(train) [159][290/327] lr: 5.000000e-04 eta: 1:37:21 time: 0.343729 data_time: 0.031169 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.933259 2023/08/10 01:17:32 - mmengine - INFO - Epoch(train) [159][300/327] lr: 5.000000e-04 eta: 1:37:18 time: 0.346726 data_time: 0.031536 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.915845 2023/08/10 01:17:35 - mmengine - INFO - Epoch(train) [159][310/327] lr: 5.000000e-04 eta: 1:37:14 time: 0.345409 data_time: 0.031864 memory: 4563 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.964286 2023/08/10 01:17:38 - mmengine - INFO - Epoch(train) [159][320/327] lr: 5.000000e-04 eta: 1:37:11 time: 0.342882 data_time: 0.032427 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.927579 2023/08/10 01:17:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:17:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:17:44 - mmengine - INFO - Epoch(train) [160][ 10/327] lr: 5.000000e-04 eta: 1:37:05 time: 0.344847 data_time: 0.034229 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.947222 2023/08/10 01:17:48 - mmengine - INFO - Epoch(train) [160][ 20/327] lr: 5.000000e-04 eta: 1:37:02 time: 0.350768 data_time: 0.034377 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.983871 2023/08/10 01:17:52 - mmengine - INFO - Epoch(train) [160][ 30/327] lr: 5.000000e-04 eta: 1:36:58 time: 0.355395 data_time: 0.034460 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.925185 2023/08/10 01:17:55 - mmengine - INFO - Epoch(train) [160][ 40/327] lr: 5.000000e-04 eta: 1:36:55 time: 0.357945 data_time: 0.034100 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.926344 2023/08/10 01:17:59 - mmengine - INFO - Epoch(train) [160][ 50/327] lr: 5.000000e-04 eta: 1:36:51 time: 0.362165 data_time: 0.035170 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.975538 2023/08/10 01:18:03 - mmengine - INFO - Epoch(train) [160][ 60/327] lr: 5.000000e-04 eta: 1:36:48 time: 0.371069 data_time: 0.031903 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.976310 2023/08/10 01:18:07 - mmengine - INFO - Epoch(train) [160][ 70/327] lr: 5.000000e-04 eta: 1:36:44 time: 0.367927 data_time: 0.031498 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.933296 2023/08/10 01:18:10 - mmengine - INFO - Epoch(train) [160][ 80/327] lr: 5.000000e-04 eta: 1:36:41 time: 0.365467 data_time: 0.031198 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.923526 2023/08/10 01:18:14 - mmengine - INFO - Epoch(train) [160][ 90/327] lr: 5.000000e-04 eta: 1:36:37 time: 0.364754 data_time: 0.031082 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.933815 2023/08/10 01:18:17 - mmengine - INFO - Epoch(train) [160][100/327] lr: 5.000000e-04 eta: 1:36:34 time: 0.360098 data_time: 0.031227 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.923563 2023/08/10 01:18:20 - mmengine - INFO - Epoch(train) [160][110/327] lr: 5.000000e-04 eta: 1:36:30 time: 0.349666 data_time: 0.030967 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.955622 2023/08/10 01:18:24 - mmengine - INFO - Epoch(train) [160][120/327] lr: 5.000000e-04 eta: 1:36:27 time: 0.347215 data_time: 0.031199 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.931189 2023/08/10 01:18:27 - mmengine - INFO - Epoch(train) [160][130/327] lr: 5.000000e-04 eta: 1:36:23 time: 0.344731 data_time: 0.031249 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.931589 2023/08/10 01:18:31 - mmengine - INFO - Epoch(train) [160][140/327] lr: 5.000000e-04 eta: 1:36:20 time: 0.348128 data_time: 0.031536 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.942992 2023/08/10 01:18:34 - mmengine - INFO - Epoch(train) [160][150/327] lr: 5.000000e-04 eta: 1:36:16 time: 0.348123 data_time: 0.031229 memory: 4563 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.916098 2023/08/10 01:18:38 - mmengine - INFO - Epoch(train) [160][160/327] lr: 5.000000e-04 eta: 1:36:13 time: 0.348008 data_time: 0.031267 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.925788 2023/08/10 01:18:41 - mmengine - INFO - Epoch(train) [160][170/327] lr: 5.000000e-04 eta: 1:36:09 time: 0.348391 data_time: 0.031014 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.956589 2023/08/10 01:18:45 - mmengine - INFO - Epoch(train) [160][180/327] lr: 5.000000e-04 eta: 1:36:06 time: 0.352782 data_time: 0.031300 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.947287 2023/08/10 01:18:48 - mmengine - INFO - Epoch(train) [160][190/327] lr: 5.000000e-04 eta: 1:36:02 time: 0.349621 data_time: 0.031032 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.932535 2023/08/10 01:18:52 - mmengine - INFO - Epoch(train) [160][200/327] lr: 5.000000e-04 eta: 1:35:59 time: 0.349517 data_time: 0.031380 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.982451 2023/08/10 01:18:56 - mmengine - INFO - Epoch(train) [160][210/327] lr: 5.000000e-04 eta: 1:35:55 time: 0.353828 data_time: 0.034233 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.954103 2023/08/10 01:18:59 - mmengine - INFO - Epoch(train) [160][220/327] lr: 5.000000e-04 eta: 1:35:52 time: 0.352983 data_time: 0.034271 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.899802 2023/08/10 01:19:03 - mmengine - INFO - Epoch(train) [160][230/327] lr: 5.000000e-04 eta: 1:35:48 time: 0.352977 data_time: 0.034275 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.948193 2023/08/10 01:19:06 - mmengine - INFO - Epoch(train) [160][240/327] lr: 5.000000e-04 eta: 1:35:45 time: 0.353759 data_time: 0.035126 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.958584 2023/08/10 01:19:10 - mmengine - INFO - Epoch(train) [160][250/327] lr: 5.000000e-04 eta: 1:35:42 time: 0.360535 data_time: 0.035552 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.925232 2023/08/10 01:19:14 - mmengine - INFO - Epoch(train) [160][260/327] lr: 5.000000e-04 eta: 1:35:38 time: 0.359386 data_time: 0.032749 memory: 4563 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.886198 2023/08/10 01:19:17 - mmengine - INFO - Epoch(train) [160][270/327] lr: 5.000000e-04 eta: 1:35:35 time: 0.358866 data_time: 0.032559 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.882616 2023/08/10 01:19:20 - mmengine - INFO - Epoch(train) [160][280/327] lr: 5.000000e-04 eta: 1:35:31 time: 0.354998 data_time: 0.032169 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.924407 2023/08/10 01:19:24 - mmengine - INFO - Epoch(train) [160][290/327] lr: 5.000000e-04 eta: 1:35:28 time: 0.354096 data_time: 0.031473 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.947619 2023/08/10 01:19:27 - mmengine - INFO - Epoch(train) [160][300/327] lr: 5.000000e-04 eta: 1:35:24 time: 0.351106 data_time: 0.031494 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.923421 2023/08/10 01:19:31 - mmengine - INFO - Epoch(train) [160][310/327] lr: 5.000000e-04 eta: 1:35:21 time: 0.347484 data_time: 0.031774 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.929803 2023/08/10 01:19:34 - mmengine - INFO - Epoch(train) [160][320/327] lr: 5.000000e-04 eta: 1:35:17 time: 0.349036 data_time: 0.032062 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.909226 2023/08/10 01:19:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:19:37 - mmengine - INFO - Saving checkpoint at 160 epochs 2023/08/10 01:19:43 - mmengine - INFO - Epoch(val) [160][10/79] eta: 0:00:14 time: 0.195764 data_time: 0.013611 memory: 4563 2023/08/10 01:19:45 - mmengine - INFO - Epoch(val) [160][20/79] eta: 0:00:11 time: 0.195731 data_time: 0.013496 memory: 1634 2023/08/10 01:19:47 - mmengine - INFO - Epoch(val) [160][30/79] eta: 0:00:09 time: 0.195556 data_time: 0.013476 memory: 1634 2023/08/10 01:19:49 - mmengine - INFO - Epoch(val) [160][40/79] eta: 0:00:07 time: 0.195597 data_time: 0.013351 memory: 1634 2023/08/10 01:19:51 - mmengine - INFO - Epoch(val) [160][50/79] eta: 0:00:05 time: 0.197623 data_time: 0.013629 memory: 1634 2023/08/10 01:19:53 - mmengine - INFO - Epoch(val) [160][60/79] eta: 0:00:03 time: 0.195329 data_time: 0.011548 memory: 1634 2023/08/10 01:19:55 - mmengine - INFO - Epoch(val) [160][70/79] eta: 0:00:01 time: 0.195073 data_time: 0.011375 memory: 1634 2023/08/10 01:19:56 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 01:19:57 - mmengine - INFO - Evaluating AUC... 2023/08/10 01:19:57 - mmengine - INFO - Evaluating EPE... 2023/08/10 01:19:57 - mmengine - INFO - Epoch(val) [160][79/79] PCK: 0.974363 AUC: 0.755205 EPE: 9.229518 data_time: 0.012700 time: 0.194640 2023/08/10 01:20:00 - mmengine - INFO - Epoch(train) [161][ 10/327] lr: 5.000000e-04 eta: 1:35:11 time: 0.352251 data_time: 0.035146 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.943011 2023/08/10 01:20:04 - mmengine - INFO - Epoch(train) [161][ 20/327] lr: 5.000000e-04 eta: 1:35:08 time: 0.347352 data_time: 0.034280 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.915598 2023/08/10 01:20:07 - mmengine - INFO - Epoch(train) [161][ 30/327] lr: 5.000000e-04 eta: 1:35:04 time: 0.346609 data_time: 0.034093 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.927370 2023/08/10 01:20:11 - mmengine - INFO - Epoch(train) [161][ 40/327] lr: 5.000000e-04 eta: 1:35:01 time: 0.345557 data_time: 0.033699 memory: 4563 loss: 0.000566 loss_kpt: 0.000566 acc_pose: 0.883046 2023/08/10 01:20:14 - mmengine - INFO - Epoch(train) [161][ 50/327] lr: 5.000000e-04 eta: 1:34:57 time: 0.348690 data_time: 0.034715 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.912802 2023/08/10 01:20:18 - mmengine - INFO - Epoch(train) [161][ 60/327] lr: 5.000000e-04 eta: 1:34:54 time: 0.343221 data_time: 0.031081 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.959140 2023/08/10 01:20:21 - mmengine - INFO - Epoch(train) [161][ 70/327] lr: 5.000000e-04 eta: 1:34:50 time: 0.344307 data_time: 0.031242 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.929673 2023/08/10 01:20:24 - mmengine - INFO - Epoch(train) [161][ 80/327] lr: 5.000000e-04 eta: 1:34:47 time: 0.344598 data_time: 0.031743 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.946075 2023/08/10 01:20:28 - mmengine - INFO - Epoch(train) [161][ 90/327] lr: 5.000000e-04 eta: 1:34:43 time: 0.343034 data_time: 0.031498 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.906970 2023/08/10 01:20:31 - mmengine - INFO - Epoch(train) [161][100/327] lr: 5.000000e-04 eta: 1:34:39 time: 0.341439 data_time: 0.031497 memory: 4563 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.947240 2023/08/10 01:20:35 - mmengine - INFO - Epoch(train) [161][110/327] lr: 5.000000e-04 eta: 1:34:36 time: 0.345712 data_time: 0.034161 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.967473 2023/08/10 01:20:38 - mmengine - INFO - Epoch(train) [161][120/327] lr: 5.000000e-04 eta: 1:34:33 time: 0.346300 data_time: 0.034446 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.902083 2023/08/10 01:20:42 - mmengine - INFO - Epoch(train) [161][130/327] lr: 5.000000e-04 eta: 1:34:29 time: 0.346137 data_time: 0.033897 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.973479 2023/08/10 01:20:45 - mmengine - INFO - Epoch(train) [161][140/327] lr: 5.000000e-04 eta: 1:34:26 time: 0.347357 data_time: 0.034260 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.921866 2023/08/10 01:20:49 - mmengine - INFO - Epoch(train) [161][150/327] lr: 5.000000e-04 eta: 1:34:22 time: 0.347492 data_time: 0.034093 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.894620 2023/08/10 01:20:52 - mmengine - INFO - Epoch(train) [161][160/327] lr: 5.000000e-04 eta: 1:34:18 time: 0.343915 data_time: 0.031043 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.899907 2023/08/10 01:20:56 - mmengine - INFO - Epoch(train) [161][170/327] lr: 5.000000e-04 eta: 1:34:15 time: 0.345338 data_time: 0.031290 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.939103 2023/08/10 01:20:59 - mmengine - INFO - Epoch(train) [161][180/327] lr: 5.000000e-04 eta: 1:34:12 time: 0.347043 data_time: 0.032163 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.891270 2023/08/10 01:21:03 - mmengine - INFO - Epoch(train) [161][190/327] lr: 5.000000e-04 eta: 1:34:08 time: 0.347013 data_time: 0.032348 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.937169 2023/08/10 01:21:06 - mmengine - INFO - Epoch(train) [161][200/327] lr: 5.000000e-04 eta: 1:34:05 time: 0.354203 data_time: 0.033275 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.918224 2023/08/10 01:21:10 - mmengine - INFO - Epoch(train) [161][210/327] lr: 5.000000e-04 eta: 1:34:01 time: 0.362164 data_time: 0.033397 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.931034 2023/08/10 01:21:14 - mmengine - INFO - Epoch(train) [161][220/327] lr: 5.000000e-04 eta: 1:33:58 time: 0.367611 data_time: 0.033152 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.930040 2023/08/10 01:21:18 - mmengine - INFO - Epoch(train) [161][230/327] lr: 5.000000e-04 eta: 1:33:54 time: 0.374224 data_time: 0.032221 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.956568 2023/08/10 01:21:22 - mmengine - INFO - Epoch(train) [161][240/327] lr: 5.000000e-04 eta: 1:33:51 time: 0.381405 data_time: 0.031845 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.946245 2023/08/10 01:21:25 - mmengine - INFO - Epoch(train) [161][250/327] lr: 5.000000e-04 eta: 1:33:48 time: 0.376610 data_time: 0.031372 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.936839 2023/08/10 01:21:29 - mmengine - INFO - Epoch(train) [161][260/327] lr: 5.000000e-04 eta: 1:33:44 time: 0.373305 data_time: 0.031337 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.992188 2023/08/10 01:21:33 - mmengine - INFO - Epoch(train) [161][270/327] lr: 5.000000e-04 eta: 1:33:41 time: 0.374230 data_time: 0.035283 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.935399 2023/08/10 01:21:36 - mmengine - INFO - Epoch(train) [161][280/327] lr: 5.000000e-04 eta: 1:33:37 time: 0.368799 data_time: 0.035977 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.933852 2023/08/10 01:21:40 - mmengine - INFO - Epoch(train) [161][290/327] lr: 5.000000e-04 eta: 1:33:34 time: 0.363201 data_time: 0.035835 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.939074 2023/08/10 01:21:43 - mmengine - INFO - Epoch(train) [161][300/327] lr: 5.000000e-04 eta: 1:33:30 time: 0.363663 data_time: 0.035546 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.849509 2023/08/10 01:21:47 - mmengine - INFO - Epoch(train) [161][310/327] lr: 5.000000e-04 eta: 1:33:27 time: 0.361774 data_time: 0.035435 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.959661 2023/08/10 01:21:50 - mmengine - INFO - Epoch(train) [161][320/327] lr: 5.000000e-04 eta: 1:33:23 time: 0.354649 data_time: 0.031453 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.906891 2023/08/10 01:21:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:21:57 - mmengine - INFO - Epoch(train) [162][ 10/327] lr: 5.000000e-04 eta: 1:33:17 time: 0.359586 data_time: 0.034337 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.913151 2023/08/10 01:22:01 - mmengine - INFO - Epoch(train) [162][ 20/327] lr: 5.000000e-04 eta: 1:33:14 time: 0.366754 data_time: 0.034937 memory: 4563 loss: 0.000567 loss_kpt: 0.000567 acc_pose: 0.899501 2023/08/10 01:22:04 - mmengine - INFO - Epoch(train) [162][ 30/327] lr: 5.000000e-04 eta: 1:33:11 time: 0.371503 data_time: 0.035098 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.875000 2023/08/10 01:22:08 - mmengine - INFO - Epoch(train) [162][ 40/327] lr: 5.000000e-04 eta: 1:33:07 time: 0.375524 data_time: 0.034994 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.939695 2023/08/10 01:22:12 - mmengine - INFO - Epoch(train) [162][ 50/327] lr: 5.000000e-04 eta: 1:33:04 time: 0.381349 data_time: 0.036253 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.885776 2023/08/10 01:22:15 - mmengine - INFO - Epoch(train) [162][ 60/327] lr: 5.000000e-04 eta: 1:33:00 time: 0.372288 data_time: 0.032736 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.946050 2023/08/10 01:22:19 - mmengine - INFO - Epoch(train) [162][ 70/327] lr: 5.000000e-04 eta: 1:32:57 time: 0.363383 data_time: 0.032901 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.833436 2023/08/10 01:22:22 - mmengine - INFO - Epoch(train) [162][ 80/327] lr: 5.000000e-04 eta: 1:32:53 time: 0.360539 data_time: 0.033281 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.869767 2023/08/10 01:22:26 - mmengine - INFO - Epoch(train) [162][ 90/327] lr: 5.000000e-04 eta: 1:32:50 time: 0.355807 data_time: 0.033021 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.931531 2023/08/10 01:22:30 - mmengine - INFO - Epoch(train) [162][100/327] lr: 5.000000e-04 eta: 1:32:46 time: 0.355637 data_time: 0.033013 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.950418 2023/08/10 01:22:33 - mmengine - INFO - Epoch(train) [162][110/327] lr: 5.000000e-04 eta: 1:32:43 time: 0.360949 data_time: 0.032138 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.909889 2023/08/10 01:22:37 - mmengine - INFO - Epoch(train) [162][120/327] lr: 5.000000e-04 eta: 1:32:40 time: 0.364475 data_time: 0.031721 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.941342 2023/08/10 01:22:41 - mmengine - INFO - Epoch(train) [162][130/327] lr: 5.000000e-04 eta: 1:32:36 time: 0.363570 data_time: 0.031323 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.926038 2023/08/10 01:22:44 - mmengine - INFO - Epoch(train) [162][140/327] lr: 5.000000e-04 eta: 1:32:33 time: 0.361854 data_time: 0.032128 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.909376 2023/08/10 01:22:48 - mmengine - INFO - Epoch(train) [162][150/327] lr: 5.000000e-04 eta: 1:32:29 time: 0.360893 data_time: 0.032117 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.971250 2023/08/10 01:22:51 - mmengine - INFO - Epoch(train) [162][160/327] lr: 5.000000e-04 eta: 1:32:26 time: 0.355245 data_time: 0.033117 memory: 4563 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.892436 2023/08/10 01:22:55 - mmengine - INFO - Epoch(train) [162][170/327] lr: 5.000000e-04 eta: 1:32:22 time: 0.350851 data_time: 0.033489 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.931400 2023/08/10 01:22:58 - mmengine - INFO - Epoch(train) [162][180/327] lr: 5.000000e-04 eta: 1:32:19 time: 0.347944 data_time: 0.033578 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.908482 2023/08/10 01:23:02 - mmengine - INFO - Epoch(train) [162][190/327] lr: 5.000000e-04 eta: 1:32:15 time: 0.347555 data_time: 0.033013 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.910458 2023/08/10 01:23:05 - mmengine - INFO - Epoch(train) [162][200/327] lr: 5.000000e-04 eta: 1:32:12 time: 0.345504 data_time: 0.033221 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.947332 2023/08/10 01:23:09 - mmengine - INFO - Epoch(train) [162][210/327] lr: 5.000000e-04 eta: 1:32:08 time: 0.346940 data_time: 0.032418 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.964901 2023/08/10 01:23:12 - mmengine - INFO - Epoch(train) [162][220/327] lr: 5.000000e-04 eta: 1:32:05 time: 0.347547 data_time: 0.031863 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.913381 2023/08/10 01:23:15 - mmengine - INFO - Epoch(train) [162][230/327] lr: 5.000000e-04 eta: 1:32:01 time: 0.346640 data_time: 0.031546 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.966340 2023/08/10 01:23:19 - mmengine - INFO - Epoch(train) [162][240/327] lr: 5.000000e-04 eta: 1:31:58 time: 0.345557 data_time: 0.031227 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.923465 2023/08/10 01:23:22 - mmengine - INFO - Epoch(train) [162][250/327] lr: 5.000000e-04 eta: 1:31:54 time: 0.345081 data_time: 0.031107 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.965476 2023/08/10 01:23:26 - mmengine - INFO - Epoch(train) [162][260/327] lr: 5.000000e-04 eta: 1:31:51 time: 0.345552 data_time: 0.031083 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.955000 2023/08/10 01:23:29 - mmengine - INFO - Epoch(train) [162][270/327] lr: 5.000000e-04 eta: 1:31:47 time: 0.348188 data_time: 0.031507 memory: 4563 loss: 0.000562 loss_kpt: 0.000562 acc_pose: 0.915568 2023/08/10 01:23:33 - mmengine - INFO - Epoch(train) [162][280/327] lr: 5.000000e-04 eta: 1:31:44 time: 0.350089 data_time: 0.031950 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.935639 2023/08/10 01:23:36 - mmengine - INFO - Epoch(train) [162][290/327] lr: 5.000000e-04 eta: 1:31:40 time: 0.349364 data_time: 0.031906 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.926257 2023/08/10 01:23:40 - mmengine - INFO - Epoch(train) [162][300/327] lr: 5.000000e-04 eta: 1:31:37 time: 0.351575 data_time: 0.034818 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.871429 2023/08/10 01:23:43 - mmengine - INFO - Epoch(train) [162][310/327] lr: 5.000000e-04 eta: 1:31:33 time: 0.348521 data_time: 0.034904 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.924425 2023/08/10 01:23:47 - mmengine - INFO - Epoch(train) [162][320/327] lr: 5.000000e-04 eta: 1:31:30 time: 0.344799 data_time: 0.034710 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.916935 2023/08/10 01:23:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:23:53 - mmengine - INFO - Epoch(train) [163][ 10/327] lr: 5.000000e-04 eta: 1:31:24 time: 0.346973 data_time: 0.038395 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.939655 2023/08/10 01:23:56 - mmengine - INFO - Epoch(train) [163][ 20/327] lr: 5.000000e-04 eta: 1:31:20 time: 0.347348 data_time: 0.036363 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.936240 2023/08/10 01:23:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:24:00 - mmengine - INFO - Epoch(train) [163][ 30/327] lr: 5.000000e-04 eta: 1:31:17 time: 0.348010 data_time: 0.036174 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.910953 2023/08/10 01:24:03 - mmengine - INFO - Epoch(train) [163][ 40/327] lr: 5.000000e-04 eta: 1:31:13 time: 0.348379 data_time: 0.036042 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.946075 2023/08/10 01:24:07 - mmengine - INFO - Epoch(train) [163][ 50/327] lr: 5.000000e-04 eta: 1:31:10 time: 0.350473 data_time: 0.037308 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.936750 2023/08/10 01:24:10 - mmengine - INFO - Epoch(train) [163][ 60/327] lr: 5.000000e-04 eta: 1:31:06 time: 0.346538 data_time: 0.033464 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.943696 2023/08/10 01:24:14 - mmengine - INFO - Epoch(train) [163][ 70/327] lr: 5.000000e-04 eta: 1:31:03 time: 0.347229 data_time: 0.032906 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.911175 2023/08/10 01:24:17 - mmengine - INFO - Epoch(train) [163][ 80/327] lr: 5.000000e-04 eta: 1:30:59 time: 0.351879 data_time: 0.032902 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.975000 2023/08/10 01:24:21 - mmengine - INFO - Epoch(train) [163][ 90/327] lr: 5.000000e-04 eta: 1:30:56 time: 0.357517 data_time: 0.032982 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.974713 2023/08/10 01:24:24 - mmengine - INFO - Epoch(train) [163][100/327] lr: 5.000000e-04 eta: 1:30:52 time: 0.357823 data_time: 0.032426 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.957163 2023/08/10 01:24:28 - mmengine - INFO - Epoch(train) [163][110/327] lr: 5.000000e-04 eta: 1:30:49 time: 0.356824 data_time: 0.031785 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.966361 2023/08/10 01:24:31 - mmengine - INFO - Epoch(train) [163][120/327] lr: 5.000000e-04 eta: 1:30:45 time: 0.352612 data_time: 0.031333 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.916036 2023/08/10 01:24:35 - mmengine - INFO - Epoch(train) [163][130/327] lr: 5.000000e-04 eta: 1:30:42 time: 0.356476 data_time: 0.031143 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.955357 2023/08/10 01:24:39 - mmengine - INFO - Epoch(train) [163][140/327] lr: 5.000000e-04 eta: 1:30:38 time: 0.354391 data_time: 0.031235 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.851282 2023/08/10 01:24:43 - mmengine - INFO - Epoch(train) [163][150/327] lr: 5.000000e-04 eta: 1:30:35 time: 0.361486 data_time: 0.031264 memory: 4563 loss: 0.000557 loss_kpt: 0.000557 acc_pose: 0.835947 2023/08/10 01:24:46 - mmengine - INFO - Epoch(train) [163][160/327] lr: 5.000000e-04 eta: 1:30:31 time: 0.362254 data_time: 0.031617 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.938889 2023/08/10 01:24:49 - mmengine - INFO - Epoch(train) [163][170/327] lr: 5.000000e-04 eta: 1:30:28 time: 0.362629 data_time: 0.031646 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.964879 2023/08/10 01:24:53 - mmengine - INFO - Epoch(train) [163][180/327] lr: 5.000000e-04 eta: 1:30:24 time: 0.353843 data_time: 0.031797 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.918702 2023/08/10 01:24:56 - mmengine - INFO - Epoch(train) [163][190/327] lr: 5.000000e-04 eta: 1:30:21 time: 0.349939 data_time: 0.031441 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.888654 2023/08/10 01:25:00 - mmengine - INFO - Epoch(train) [163][200/327] lr: 5.000000e-04 eta: 1:30:17 time: 0.349672 data_time: 0.031320 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.892358 2023/08/10 01:25:04 - mmengine - INFO - Epoch(train) [163][210/327] lr: 5.000000e-04 eta: 1:30:14 time: 0.356879 data_time: 0.031529 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.975250 2023/08/10 01:25:08 - mmengine - INFO - Epoch(train) [163][220/327] lr: 5.000000e-04 eta: 1:30:11 time: 0.364732 data_time: 0.032054 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.939844 2023/08/10 01:25:11 - mmengine - INFO - Epoch(train) [163][230/327] lr: 5.000000e-04 eta: 1:30:07 time: 0.366831 data_time: 0.032195 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.983333 2023/08/10 01:25:15 - mmengine - INFO - Epoch(train) [163][240/327] lr: 5.000000e-04 eta: 1:30:04 time: 0.367816 data_time: 0.033215 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.914655 2023/08/10 01:25:18 - mmengine - INFO - Epoch(train) [163][250/327] lr: 5.000000e-04 eta: 1:30:00 time: 0.359449 data_time: 0.033345 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.878387 2023/08/10 01:25:21 - mmengine - INFO - Epoch(train) [163][260/327] lr: 5.000000e-04 eta: 1:29:57 time: 0.352038 data_time: 0.032830 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.948483 2023/08/10 01:25:25 - mmengine - INFO - Epoch(train) [163][270/327] lr: 5.000000e-04 eta: 1:29:53 time: 0.345184 data_time: 0.032394 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.938093 2023/08/10 01:25:28 - mmengine - INFO - Epoch(train) [163][280/327] lr: 5.000000e-04 eta: 1:29:50 time: 0.344055 data_time: 0.032409 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.955551 2023/08/10 01:25:32 - mmengine - INFO - Epoch(train) [163][290/327] lr: 5.000000e-04 eta: 1:29:46 time: 0.343972 data_time: 0.031649 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.954898 2023/08/10 01:25:35 - mmengine - INFO - Epoch(train) [163][300/327] lr: 5.000000e-04 eta: 1:29:43 time: 0.344285 data_time: 0.031691 memory: 4563 loss: 0.000573 loss_kpt: 0.000573 acc_pose: 0.903918 2023/08/10 01:25:39 - mmengine - INFO - Epoch(train) [163][310/327] lr: 5.000000e-04 eta: 1:29:39 time: 0.345559 data_time: 0.031788 memory: 4563 loss: 0.000596 loss_kpt: 0.000596 acc_pose: 0.912884 2023/08/10 01:25:42 - mmengine - INFO - Epoch(train) [163][320/327] lr: 5.000000e-04 eta: 1:29:36 time: 0.345346 data_time: 0.031898 memory: 4563 loss: 0.000593 loss_kpt: 0.000593 acc_pose: 0.913640 2023/08/10 01:25:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:25:49 - mmengine - INFO - Epoch(train) [164][ 10/327] lr: 5.000000e-04 eta: 1:29:30 time: 0.353570 data_time: 0.035527 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.951075 2023/08/10 01:25:52 - mmengine - INFO - Epoch(train) [164][ 20/327] lr: 5.000000e-04 eta: 1:29:26 time: 0.351835 data_time: 0.035284 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.933333 2023/08/10 01:25:55 - mmengine - INFO - Epoch(train) [164][ 30/327] lr: 5.000000e-04 eta: 1:29:23 time: 0.351918 data_time: 0.036024 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.974074 2023/08/10 01:25:59 - mmengine - INFO - Epoch(train) [164][ 40/327] lr: 5.000000e-04 eta: 1:29:19 time: 0.351606 data_time: 0.035949 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.899094 2023/08/10 01:26:02 - mmengine - INFO - Epoch(train) [164][ 50/327] lr: 5.000000e-04 eta: 1:29:16 time: 0.345789 data_time: 0.035574 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.917277 2023/08/10 01:26:06 - mmengine - INFO - Epoch(train) [164][ 60/327] lr: 5.000000e-04 eta: 1:29:12 time: 0.339027 data_time: 0.031648 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.932703 2023/08/10 01:26:09 - mmengine - INFO - Epoch(train) [164][ 70/327] lr: 5.000000e-04 eta: 1:29:09 time: 0.338770 data_time: 0.031559 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.932087 2023/08/10 01:26:12 - mmengine - INFO - Epoch(train) [164][ 80/327] lr: 5.000000e-04 eta: 1:29:05 time: 0.338155 data_time: 0.030801 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.903257 2023/08/10 01:26:16 - mmengine - INFO - Epoch(train) [164][ 90/327] lr: 5.000000e-04 eta: 1:29:01 time: 0.338173 data_time: 0.031678 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.938953 2023/08/10 01:26:19 - mmengine - INFO - Epoch(train) [164][100/327] lr: 5.000000e-04 eta: 1:28:58 time: 0.339429 data_time: 0.032497 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.891824 2023/08/10 01:26:23 - mmengine - INFO - Epoch(train) [164][110/327] lr: 5.000000e-04 eta: 1:28:54 time: 0.339498 data_time: 0.032484 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.974138 2023/08/10 01:26:26 - mmengine - INFO - Epoch(train) [164][120/327] lr: 5.000000e-04 eta: 1:28:51 time: 0.339891 data_time: 0.033075 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.933452 2023/08/10 01:26:29 - mmengine - INFO - Epoch(train) [164][130/327] lr: 5.000000e-04 eta: 1:28:47 time: 0.337900 data_time: 0.033716 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.901020 2023/08/10 01:26:33 - mmengine - INFO - Epoch(train) [164][140/327] lr: 5.000000e-04 eta: 1:28:44 time: 0.338309 data_time: 0.033075 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.909905 2023/08/10 01:26:36 - mmengine - INFO - Epoch(train) [164][150/327] lr: 5.000000e-04 eta: 1:28:40 time: 0.340390 data_time: 0.032655 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.917260 2023/08/10 01:26:40 - mmengine - INFO - Epoch(train) [164][160/327] lr: 5.000000e-04 eta: 1:28:37 time: 0.350156 data_time: 0.033538 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.929337 2023/08/10 01:26:44 - mmengine - INFO - Epoch(train) [164][170/327] lr: 5.000000e-04 eta: 1:28:33 time: 0.354493 data_time: 0.033311 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.936411 2023/08/10 01:26:47 - mmengine - INFO - Epoch(train) [164][180/327] lr: 5.000000e-04 eta: 1:28:30 time: 0.363423 data_time: 0.032764 memory: 4563 loss: 0.000551 loss_kpt: 0.000551 acc_pose: 0.897973 2023/08/10 01:26:51 - mmengine - INFO - Epoch(train) [164][190/327] lr: 5.000000e-04 eta: 1:28:27 time: 0.362750 data_time: 0.032515 memory: 4563 loss: 0.000560 loss_kpt: 0.000560 acc_pose: 0.951344 2023/08/10 01:26:54 - mmengine - INFO - Epoch(train) [164][200/327] lr: 5.000000e-04 eta: 1:28:23 time: 0.358603 data_time: 0.032107 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.908097 2023/08/10 01:26:58 - mmengine - INFO - Epoch(train) [164][210/327] lr: 5.000000e-04 eta: 1:28:20 time: 0.353306 data_time: 0.031667 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.948830 2023/08/10 01:27:01 - mmengine - INFO - Epoch(train) [164][220/327] lr: 5.000000e-04 eta: 1:28:16 time: 0.353768 data_time: 0.031842 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.982143 2023/08/10 01:27:05 - mmengine - INFO - Epoch(train) [164][230/327] lr: 5.000000e-04 eta: 1:28:13 time: 0.344609 data_time: 0.031589 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.991379 2023/08/10 01:27:08 - mmengine - INFO - Epoch(train) [164][240/327] lr: 5.000000e-04 eta: 1:28:09 time: 0.345648 data_time: 0.031866 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.901740 2023/08/10 01:27:12 - mmengine - INFO - Epoch(train) [164][250/327] lr: 5.000000e-04 eta: 1:28:05 time: 0.345556 data_time: 0.032587 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.945866 2023/08/10 01:27:15 - mmengine - INFO - Epoch(train) [164][260/327] lr: 5.000000e-04 eta: 1:28:02 time: 0.342094 data_time: 0.032318 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.939296 2023/08/10 01:27:18 - mmengine - INFO - Epoch(train) [164][270/327] lr: 5.000000e-04 eta: 1:27:58 time: 0.337567 data_time: 0.031646 memory: 4563 loss: 0.000547 loss_kpt: 0.000547 acc_pose: 0.925806 2023/08/10 01:27:22 - mmengine - INFO - Epoch(train) [164][280/327] lr: 5.000000e-04 eta: 1:27:55 time: 0.339257 data_time: 0.031814 memory: 4563 loss: 0.000572 loss_kpt: 0.000572 acc_pose: 0.931816 2023/08/10 01:27:25 - mmengine - INFO - Epoch(train) [164][290/327] lr: 5.000000e-04 eta: 1:27:51 time: 0.341685 data_time: 0.031830 memory: 4563 loss: 0.000578 loss_kpt: 0.000578 acc_pose: 0.858858 2023/08/10 01:27:29 - mmengine - INFO - Epoch(train) [164][300/327] lr: 5.000000e-04 eta: 1:27:48 time: 0.344489 data_time: 0.031173 memory: 4563 loss: 0.000585 loss_kpt: 0.000585 acc_pose: 0.909430 2023/08/10 01:27:32 - mmengine - INFO - Epoch(train) [164][310/327] lr: 5.000000e-04 eta: 1:27:44 time: 0.346282 data_time: 0.031238 memory: 4563 loss: 0.000590 loss_kpt: 0.000590 acc_pose: 0.902259 2023/08/10 01:27:36 - mmengine - INFO - Epoch(train) [164][320/327] lr: 5.000000e-04 eta: 1:27:41 time: 0.345414 data_time: 0.031329 memory: 4563 loss: 0.000581 loss_kpt: 0.000581 acc_pose: 0.931589 2023/08/10 01:27:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:27:41 - mmengine - INFO - Epoch(train) [165][ 10/327] lr: 5.000000e-04 eta: 1:27:35 time: 0.343558 data_time: 0.034905 memory: 4563 loss: 0.000568 loss_kpt: 0.000568 acc_pose: 0.945767 2023/08/10 01:27:45 - mmengine - INFO - Epoch(train) [165][ 20/327] lr: 5.000000e-04 eta: 1:27:31 time: 0.341127 data_time: 0.036217 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.949425 2023/08/10 01:27:48 - mmengine - INFO - Epoch(train) [165][ 30/327] lr: 5.000000e-04 eta: 1:27:28 time: 0.341372 data_time: 0.037081 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.901194 2023/08/10 01:27:52 - mmengine - INFO - Epoch(train) [165][ 40/327] lr: 5.000000e-04 eta: 1:27:24 time: 0.345285 data_time: 0.037451 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.851806 2023/08/10 01:27:55 - mmengine - INFO - Epoch(train) [165][ 50/327] lr: 5.000000e-04 eta: 1:27:21 time: 0.349966 data_time: 0.038635 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.943413 2023/08/10 01:27:59 - mmengine - INFO - Epoch(train) [165][ 60/327] lr: 5.000000e-04 eta: 1:27:17 time: 0.346579 data_time: 0.034286 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.973787 2023/08/10 01:28:02 - mmengine - INFO - Epoch(train) [165][ 70/327] lr: 5.000000e-04 eta: 1:27:14 time: 0.347381 data_time: 0.035728 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.881214 2023/08/10 01:28:06 - mmengine - INFO - Epoch(train) [165][ 80/327] lr: 5.000000e-04 eta: 1:27:10 time: 0.347201 data_time: 0.034709 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.950893 2023/08/10 01:28:09 - mmengine - INFO - Epoch(train) [165][ 90/327] lr: 5.000000e-04 eta: 1:27:07 time: 0.344938 data_time: 0.034270 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.896184 2023/08/10 01:28:13 - mmengine - INFO - Epoch(train) [165][100/327] lr: 5.000000e-04 eta: 1:27:03 time: 0.344294 data_time: 0.034111 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.934082 2023/08/10 01:28:16 - mmengine - INFO - Epoch(train) [165][110/327] lr: 5.000000e-04 eta: 1:27:00 time: 0.344985 data_time: 0.034598 memory: 4563 loss: 0.000556 loss_kpt: 0.000556 acc_pose: 0.950141 2023/08/10 01:28:20 - mmengine - INFO - Epoch(train) [165][120/327] lr: 5.000000e-04 eta: 1:26:56 time: 0.351500 data_time: 0.032139 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.888158 2023/08/10 01:28:24 - mmengine - INFO - Epoch(train) [165][130/327] lr: 5.000000e-04 eta: 1:26:53 time: 0.360000 data_time: 0.032525 memory: 4563 loss: 0.000564 loss_kpt: 0.000564 acc_pose: 0.946075 2023/08/10 01:28:27 - mmengine - INFO - Epoch(train) [165][140/327] lr: 5.000000e-04 eta: 1:26:50 time: 0.362029 data_time: 0.032839 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.872515 2023/08/10 01:28:31 - mmengine - INFO - Epoch(train) [165][150/327] lr: 5.000000e-04 eta: 1:26:46 time: 0.361000 data_time: 0.032250 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.974405 2023/08/10 01:28:34 - mmengine - INFO - Epoch(train) [165][160/327] lr: 5.000000e-04 eta: 1:26:42 time: 0.358731 data_time: 0.031832 memory: 4563 loss: 0.000559 loss_kpt: 0.000559 acc_pose: 0.964879 2023/08/10 01:28:37 - mmengine - INFO - Epoch(train) [165][170/327] lr: 5.000000e-04 eta: 1:26:39 time: 0.350933 data_time: 0.031467 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.914846 2023/08/10 01:28:41 - mmengine - INFO - Epoch(train) [165][180/327] lr: 5.000000e-04 eta: 1:26:35 time: 0.343631 data_time: 0.031267 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.939347 2023/08/10 01:28:44 - mmengine - INFO - Epoch(train) [165][190/327] lr: 5.000000e-04 eta: 1:26:32 time: 0.341450 data_time: 0.031610 memory: 4563 loss: 0.000558 loss_kpt: 0.000558 acc_pose: 0.931667 2023/08/10 01:28:48 - mmengine - INFO - Epoch(train) [165][200/327] lr: 5.000000e-04 eta: 1:26:29 time: 0.349424 data_time: 0.032200 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.957451 2023/08/10 01:28:52 - mmengine - INFO - Epoch(train) [165][210/327] lr: 5.000000e-04 eta: 1:26:25 time: 0.353295 data_time: 0.032181 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.909392 2023/08/10 01:28:55 - mmengine - INFO - Epoch(train) [165][220/327] lr: 5.000000e-04 eta: 1:26:22 time: 0.354784 data_time: 0.032113 memory: 4563 loss: 0.000554 loss_kpt: 0.000554 acc_pose: 0.913852 2023/08/10 01:28:58 - mmengine - INFO - Epoch(train) [165][230/327] lr: 5.000000e-04 eta: 1:26:18 time: 0.352537 data_time: 0.031838 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.931693 2023/08/10 01:29:02 - mmengine - INFO - Epoch(train) [165][240/327] lr: 5.000000e-04 eta: 1:26:14 time: 0.351433 data_time: 0.031714 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.981667 2023/08/10 01:29:05 - mmengine - INFO - Epoch(train) [165][250/327] lr: 5.000000e-04 eta: 1:26:11 time: 0.343822 data_time: 0.031314 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.956260 2023/08/10 01:29:09 - mmengine - INFO - Epoch(train) [165][260/327] lr: 5.000000e-04 eta: 1:26:07 time: 0.339910 data_time: 0.031184 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.911206 2023/08/10 01:29:12 - mmengine - INFO - Epoch(train) [165][270/327] lr: 5.000000e-04 eta: 1:26:04 time: 0.336726 data_time: 0.031123 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.936411 2023/08/10 01:29:15 - mmengine - INFO - Epoch(train) [165][280/327] lr: 5.000000e-04 eta: 1:26:00 time: 0.336202 data_time: 0.031208 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.972149 2023/08/10 01:29:19 - mmengine - INFO - Epoch(train) [165][290/327] lr: 5.000000e-04 eta: 1:25:57 time: 0.335357 data_time: 0.030888 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.931283 2023/08/10 01:29:22 - mmengine - INFO - Epoch(train) [165][300/327] lr: 5.000000e-04 eta: 1:25:53 time: 0.335053 data_time: 0.031032 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.889401 2023/08/10 01:29:25 - mmengine - INFO - Epoch(train) [165][310/327] lr: 5.000000e-04 eta: 1:25:50 time: 0.336847 data_time: 0.031517 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.965741 2023/08/10 01:29:29 - mmengine - INFO - Epoch(train) [165][320/327] lr: 5.000000e-04 eta: 1:25:46 time: 0.339870 data_time: 0.031632 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.917130 2023/08/10 01:29:31 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:29:35 - mmengine - INFO - Epoch(train) [166][ 10/327] lr: 5.000000e-04 eta: 1:25:40 time: 0.348493 data_time: 0.035459 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.899405 2023/08/10 01:29:38 - mmengine - INFO - Epoch(train) [166][ 20/327] lr: 5.000000e-04 eta: 1:25:37 time: 0.348813 data_time: 0.035102 memory: 4563 loss: 0.000542 loss_kpt: 0.000542 acc_pose: 0.919538 2023/08/10 01:29:42 - mmengine - INFO - Epoch(train) [166][ 30/327] lr: 5.000000e-04 eta: 1:25:33 time: 0.345642 data_time: 0.034673 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.852386 2023/08/10 01:29:45 - mmengine - INFO - Epoch(train) [166][ 40/327] lr: 5.000000e-04 eta: 1:25:30 time: 0.345583 data_time: 0.034849 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.950000 2023/08/10 01:29:47 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:29:49 - mmengine - INFO - Epoch(train) [166][ 50/327] lr: 5.000000e-04 eta: 1:25:26 time: 0.342327 data_time: 0.036001 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.897256 2023/08/10 01:29:52 - mmengine - INFO - Epoch(train) [166][ 60/327] lr: 5.000000e-04 eta: 1:25:23 time: 0.340207 data_time: 0.034401 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.953653 2023/08/10 01:29:56 - mmengine - INFO - Epoch(train) [166][ 70/327] lr: 5.000000e-04 eta: 1:25:19 time: 0.345627 data_time: 0.034973 memory: 4563 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.949892 2023/08/10 01:29:59 - mmengine - INFO - Epoch(train) [166][ 80/327] lr: 5.000000e-04 eta: 1:25:16 time: 0.346317 data_time: 0.035088 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.952912 2023/08/10 01:30:03 - mmengine - INFO - Epoch(train) [166][ 90/327] lr: 5.000000e-04 eta: 1:25:12 time: 0.348292 data_time: 0.035277 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.930378 2023/08/10 01:30:06 - mmengine - INFO - Epoch(train) [166][100/327] lr: 5.000000e-04 eta: 1:25:09 time: 0.347467 data_time: 0.034741 memory: 4563 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.904314 2023/08/10 01:30:09 - mmengine - INFO - Epoch(train) [166][110/327] lr: 5.000000e-04 eta: 1:25:05 time: 0.342664 data_time: 0.032175 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.921610 2023/08/10 01:30:13 - mmengine - INFO - Epoch(train) [166][120/327] lr: 5.000000e-04 eta: 1:25:02 time: 0.340354 data_time: 0.031956 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.963245 2023/08/10 01:30:16 - mmengine - INFO - Epoch(train) [166][130/327] lr: 5.000000e-04 eta: 1:24:58 time: 0.340605 data_time: 0.031620 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.939220 2023/08/10 01:30:20 - mmengine - INFO - Epoch(train) [166][140/327] lr: 5.000000e-04 eta: 1:24:55 time: 0.341226 data_time: 0.031558 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.946630 2023/08/10 01:30:23 - mmengine - INFO - Epoch(train) [166][150/327] lr: 5.000000e-04 eta: 1:24:51 time: 0.341723 data_time: 0.031505 memory: 4563 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.914881 2023/08/10 01:30:26 - mmengine - INFO - Epoch(train) [166][160/327] lr: 5.000000e-04 eta: 1:24:48 time: 0.343000 data_time: 0.032024 memory: 4563 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.958315 2023/08/10 01:30:30 - mmengine - INFO - Epoch(train) [166][170/327] lr: 5.000000e-04 eta: 1:24:44 time: 0.340401 data_time: 0.031727 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.956548 2023/08/10 01:30:33 - mmengine - INFO - Epoch(train) [166][180/327] lr: 5.000000e-04 eta: 1:24:41 time: 0.339487 data_time: 0.031761 memory: 4563 loss: 0.000495 loss_kpt: 0.000495 acc_pose: 0.966361 2023/08/10 01:30:37 - mmengine - INFO - Epoch(train) [166][190/327] lr: 5.000000e-04 eta: 1:24:37 time: 0.341155 data_time: 0.031950 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.911744 2023/08/10 01:30:40 - mmengine - INFO - Epoch(train) [166][200/327] lr: 5.000000e-04 eta: 1:24:34 time: 0.342167 data_time: 0.031995 memory: 4563 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.946999 2023/08/10 01:30:44 - mmengine - INFO - Epoch(train) [166][210/327] lr: 5.000000e-04 eta: 1:24:30 time: 0.343129 data_time: 0.031360 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.947826 2023/08/10 01:30:47 - mmengine - INFO - Epoch(train) [166][220/327] lr: 5.000000e-04 eta: 1:24:27 time: 0.342684 data_time: 0.031412 memory: 4563 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.908871 2023/08/10 01:30:50 - mmengine - INFO - Epoch(train) [166][230/327] lr: 5.000000e-04 eta: 1:24:23 time: 0.343561 data_time: 0.031457 memory: 4563 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.931322 2023/08/10 01:30:54 - mmengine - INFO - Epoch(train) [166][240/327] lr: 5.000000e-04 eta: 1:24:20 time: 0.346755 data_time: 0.031351 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.947553 2023/08/10 01:30:58 - mmengine - INFO - Epoch(train) [166][250/327] lr: 5.000000e-04 eta: 1:24:16 time: 0.347617 data_time: 0.031398 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.872547 2023/08/10 01:31:01 - mmengine - INFO - Epoch(train) [166][260/327] lr: 5.000000e-04 eta: 1:24:13 time: 0.348826 data_time: 0.031436 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.921775 2023/08/10 01:31:05 - mmengine - INFO - Epoch(train) [166][270/327] lr: 5.000000e-04 eta: 1:24:09 time: 0.357563 data_time: 0.031415 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.906202 2023/08/10 01:31:08 - mmengine - INFO - Epoch(train) [166][280/327] lr: 5.000000e-04 eta: 1:24:06 time: 0.358683 data_time: 0.031986 memory: 4563 loss: 0.000552 loss_kpt: 0.000552 acc_pose: 0.858374 2023/08/10 01:31:12 - mmengine - INFO - Epoch(train) [166][290/327] lr: 5.000000e-04 eta: 1:24:02 time: 0.355627 data_time: 0.031912 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.965784 2023/08/10 01:31:15 - mmengine - INFO - Epoch(train) [166][300/327] lr: 5.000000e-04 eta: 1:23:59 time: 0.354124 data_time: 0.031921 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.916186 2023/08/10 01:31:19 - mmengine - INFO - Epoch(train) [166][310/327] lr: 5.000000e-04 eta: 1:23:55 time: 0.350690 data_time: 0.032245 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.910971 2023/08/10 01:31:22 - mmengine - INFO - Epoch(train) [166][320/327] lr: 5.000000e-04 eta: 1:23:52 time: 0.342698 data_time: 0.032310 memory: 4563 loss: 0.000561 loss_kpt: 0.000561 acc_pose: 0.936744 2023/08/10 01:31:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:31:28 - mmengine - INFO - Epoch(train) [167][ 10/327] lr: 5.000000e-04 eta: 1:23:46 time: 0.352131 data_time: 0.036360 memory: 4563 loss: 0.000548 loss_kpt: 0.000548 acc_pose: 0.861572 2023/08/10 01:31:32 - mmengine - INFO - Epoch(train) [167][ 20/327] lr: 5.000000e-04 eta: 1:23:42 time: 0.350767 data_time: 0.036388 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.940092 2023/08/10 01:31:35 - mmengine - INFO - Epoch(train) [167][ 30/327] lr: 5.000000e-04 eta: 1:23:39 time: 0.352195 data_time: 0.035671 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.949676 2023/08/10 01:31:39 - mmengine - INFO - Epoch(train) [167][ 40/327] lr: 5.000000e-04 eta: 1:23:35 time: 0.353164 data_time: 0.035448 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.964523 2023/08/10 01:31:42 - mmengine - INFO - Epoch(train) [167][ 50/327] lr: 5.000000e-04 eta: 1:23:32 time: 0.360739 data_time: 0.035358 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.913095 2023/08/10 01:31:46 - mmengine - INFO - Epoch(train) [167][ 60/327] lr: 5.000000e-04 eta: 1:23:28 time: 0.355222 data_time: 0.030634 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.915462 2023/08/10 01:31:50 - mmengine - INFO - Epoch(train) [167][ 70/327] lr: 5.000000e-04 eta: 1:23:25 time: 0.354708 data_time: 0.030395 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.926882 2023/08/10 01:31:53 - mmengine - INFO - Epoch(train) [167][ 80/327] lr: 5.000000e-04 eta: 1:23:21 time: 0.355895 data_time: 0.030774 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.922046 2023/08/10 01:31:56 - mmengine - INFO - Epoch(train) [167][ 90/327] lr: 5.000000e-04 eta: 1:23:18 time: 0.356023 data_time: 0.031573 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 0.905747 2023/08/10 01:32:00 - mmengine - INFO - Epoch(train) [167][100/327] lr: 5.000000e-04 eta: 1:23:14 time: 0.350786 data_time: 0.031843 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.973143 2023/08/10 01:32:03 - mmengine - INFO - Epoch(train) [167][110/327] lr: 5.000000e-04 eta: 1:23:11 time: 0.344531 data_time: 0.031828 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.919882 2023/08/10 01:32:07 - mmengine - INFO - Epoch(train) [167][120/327] lr: 5.000000e-04 eta: 1:23:07 time: 0.343742 data_time: 0.031794 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.962912 2023/08/10 01:32:10 - mmengine - INFO - Epoch(train) [167][130/327] lr: 5.000000e-04 eta: 1:23:04 time: 0.345286 data_time: 0.034687 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.943548 2023/08/10 01:32:14 - mmengine - INFO - Epoch(train) [167][140/327] lr: 5.000000e-04 eta: 1:23:00 time: 0.355492 data_time: 0.034917 memory: 4563 loss: 0.000563 loss_kpt: 0.000563 acc_pose: 0.872085 2023/08/10 01:32:18 - mmengine - INFO - Epoch(train) [167][150/327] lr: 5.000000e-04 eta: 1:22:57 time: 0.358155 data_time: 0.035155 memory: 4563 loss: 0.000570 loss_kpt: 0.000570 acc_pose: 0.876539 2023/08/10 01:32:21 - mmengine - INFO - Epoch(train) [167][160/327] lr: 5.000000e-04 eta: 1:22:53 time: 0.358254 data_time: 0.035156 memory: 4563 loss: 0.000571 loss_kpt: 0.000571 acc_pose: 0.862903 2023/08/10 01:32:25 - mmengine - INFO - Epoch(train) [167][170/327] lr: 5.000000e-04 eta: 1:22:50 time: 0.360438 data_time: 0.035623 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.928195 2023/08/10 01:32:28 - mmengine - INFO - Epoch(train) [167][180/327] lr: 5.000000e-04 eta: 1:22:46 time: 0.358701 data_time: 0.032682 memory: 4563 loss: 0.000574 loss_kpt: 0.000574 acc_pose: 0.938732 2023/08/10 01:32:32 - mmengine - INFO - Epoch(train) [167][190/327] lr: 5.000000e-04 eta: 1:22:43 time: 0.348202 data_time: 0.032271 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.897917 2023/08/10 01:32:35 - mmengine - INFO - Epoch(train) [167][200/327] lr: 5.000000e-04 eta: 1:22:39 time: 0.346089 data_time: 0.032255 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.974343 2023/08/10 01:32:39 - mmengine - INFO - Epoch(train) [167][210/327] lr: 5.000000e-04 eta: 1:22:36 time: 0.346777 data_time: 0.032364 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.934409 2023/08/10 01:32:42 - mmengine - INFO - Epoch(train) [167][220/327] lr: 5.000000e-04 eta: 1:22:32 time: 0.347832 data_time: 0.032107 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.927910 2023/08/10 01:32:46 - mmengine - INFO - Epoch(train) [167][230/327] lr: 5.000000e-04 eta: 1:22:29 time: 0.347625 data_time: 0.032459 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.931093 2023/08/10 01:32:49 - mmengine - INFO - Epoch(train) [167][240/327] lr: 5.000000e-04 eta: 1:22:26 time: 0.356335 data_time: 0.032368 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.899062 2023/08/10 01:32:53 - mmengine - INFO - Epoch(train) [167][250/327] lr: 5.000000e-04 eta: 1:22:22 time: 0.362368 data_time: 0.032202 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.908901 2023/08/10 01:32:57 - mmengine - INFO - Epoch(train) [167][260/327] lr: 5.000000e-04 eta: 1:22:19 time: 0.365004 data_time: 0.032293 memory: 4563 loss: 0.000555 loss_kpt: 0.000555 acc_pose: 0.956548 2023/08/10 01:33:00 - mmengine - INFO - Epoch(train) [167][270/327] lr: 5.000000e-04 eta: 1:22:15 time: 0.365598 data_time: 0.032711 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.924885 2023/08/10 01:33:04 - mmengine - INFO - Epoch(train) [167][280/327] lr: 5.000000e-04 eta: 1:22:12 time: 0.365307 data_time: 0.032751 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.909946 2023/08/10 01:33:07 - mmengine - INFO - Epoch(train) [167][290/327] lr: 5.000000e-04 eta: 1:22:08 time: 0.356674 data_time: 0.032672 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.959409 2023/08/10 01:33:11 - mmengine - INFO - Epoch(train) [167][300/327] lr: 5.000000e-04 eta: 1:22:05 time: 0.348348 data_time: 0.032412 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.915522 2023/08/10 01:33:14 - mmengine - INFO - Epoch(train) [167][310/327] lr: 5.000000e-04 eta: 1:22:01 time: 0.347771 data_time: 0.032123 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.831607 2023/08/10 01:33:18 - mmengine - INFO - Epoch(train) [167][320/327] lr: 5.000000e-04 eta: 1:21:58 time: 0.345122 data_time: 0.031905 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.974256 2023/08/10 01:33:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:33:24 - mmengine - INFO - Epoch(train) [168][ 10/327] lr: 5.000000e-04 eta: 1:21:52 time: 0.350576 data_time: 0.034795 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.933602 2023/08/10 01:33:27 - mmengine - INFO - Epoch(train) [168][ 20/327] lr: 5.000000e-04 eta: 1:21:48 time: 0.352360 data_time: 0.034998 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.941019 2023/08/10 01:33:31 - mmengine - INFO - Epoch(train) [168][ 30/327] lr: 5.000000e-04 eta: 1:21:45 time: 0.354463 data_time: 0.035299 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.944088 2023/08/10 01:33:34 - mmengine - INFO - Epoch(train) [168][ 40/327] lr: 5.000000e-04 eta: 1:21:41 time: 0.352497 data_time: 0.035074 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.937429 2023/08/10 01:33:38 - mmengine - INFO - Epoch(train) [168][ 50/327] lr: 5.000000e-04 eta: 1:21:38 time: 0.352513 data_time: 0.035527 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.949637 2023/08/10 01:33:41 - mmengine - INFO - Epoch(train) [168][ 60/327] lr: 5.000000e-04 eta: 1:21:34 time: 0.347842 data_time: 0.031595 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.923776 2023/08/10 01:33:45 - mmengine - INFO - Epoch(train) [168][ 70/327] lr: 5.000000e-04 eta: 1:21:31 time: 0.346970 data_time: 0.031632 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.941846 2023/08/10 01:33:48 - mmengine - INFO - Epoch(train) [168][ 80/327] lr: 5.000000e-04 eta: 1:21:27 time: 0.344990 data_time: 0.031642 memory: 4563 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.936617 2023/08/10 01:33:52 - mmengine - INFO - Epoch(train) [168][ 90/327] lr: 5.000000e-04 eta: 1:21:24 time: 0.345474 data_time: 0.031627 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.958871 2023/08/10 01:33:55 - mmengine - INFO - Epoch(train) [168][100/327] lr: 5.000000e-04 eta: 1:21:20 time: 0.349194 data_time: 0.031610 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.898235 2023/08/10 01:33:59 - mmengine - INFO - Epoch(train) [168][110/327] lr: 5.000000e-04 eta: 1:21:17 time: 0.354757 data_time: 0.031551 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.914896 2023/08/10 01:34:03 - mmengine - INFO - Epoch(train) [168][120/327] lr: 5.000000e-04 eta: 1:21:13 time: 0.361397 data_time: 0.031232 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.875035 2023/08/10 01:34:06 - mmengine - INFO - Epoch(train) [168][130/327] lr: 5.000000e-04 eta: 1:21:10 time: 0.360679 data_time: 0.030974 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.951071 2023/08/10 01:34:10 - mmengine - INFO - Epoch(train) [168][140/327] lr: 5.000000e-04 eta: 1:21:06 time: 0.364148 data_time: 0.030987 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.948832 2023/08/10 01:34:13 - mmengine - INFO - Epoch(train) [168][150/327] lr: 5.000000e-04 eta: 1:21:03 time: 0.361155 data_time: 0.031069 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.935988 2023/08/10 01:34:17 - mmengine - INFO - Epoch(train) [168][160/327] lr: 5.000000e-04 eta: 1:20:59 time: 0.354643 data_time: 0.031193 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.888153 2023/08/10 01:34:20 - mmengine - INFO - Epoch(train) [168][170/327] lr: 5.000000e-04 eta: 1:20:56 time: 0.347816 data_time: 0.031384 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.948851 2023/08/10 01:34:24 - mmengine - INFO - Epoch(train) [168][180/327] lr: 5.000000e-04 eta: 1:20:52 time: 0.346776 data_time: 0.031228 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.929556 2023/08/10 01:34:27 - mmengine - INFO - Epoch(train) [168][190/327] lr: 5.000000e-04 eta: 1:20:49 time: 0.348274 data_time: 0.031228 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.916741 2023/08/10 01:34:31 - mmengine - INFO - Epoch(train) [168][200/327] lr: 5.000000e-04 eta: 1:20:45 time: 0.347937 data_time: 0.030700 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.950000 2023/08/10 01:34:34 - mmengine - INFO - Epoch(train) [168][210/327] lr: 5.000000e-04 eta: 1:20:42 time: 0.350734 data_time: 0.031166 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.937808 2023/08/10 01:34:38 - mmengine - INFO - Epoch(train) [168][220/327] lr: 5.000000e-04 eta: 1:20:39 time: 0.359059 data_time: 0.031908 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.945453 2023/08/10 01:34:42 - mmengine - INFO - Epoch(train) [168][230/327] lr: 5.000000e-04 eta: 1:20:35 time: 0.361762 data_time: 0.032615 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.947533 2023/08/10 01:34:45 - mmengine - INFO - Epoch(train) [168][240/327] lr: 5.000000e-04 eta: 1:20:32 time: 0.356380 data_time: 0.032491 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.956456 2023/08/10 01:34:49 - mmengine - INFO - Epoch(train) [168][250/327] lr: 5.000000e-04 eta: 1:20:28 time: 0.357031 data_time: 0.032698 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.915497 2023/08/10 01:34:52 - mmengine - INFO - Epoch(train) [168][260/327] lr: 5.000000e-04 eta: 1:20:24 time: 0.352599 data_time: 0.032276 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.918605 2023/08/10 01:34:55 - mmengine - INFO - Epoch(train) [168][270/327] lr: 5.000000e-04 eta: 1:20:21 time: 0.344134 data_time: 0.031283 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.942742 2023/08/10 01:34:59 - mmengine - INFO - Epoch(train) [168][280/327] lr: 5.000000e-04 eta: 1:20:17 time: 0.342441 data_time: 0.030827 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.909084 2023/08/10 01:35:02 - mmengine - INFO - Epoch(train) [168][290/327] lr: 5.000000e-04 eta: 1:20:14 time: 0.343816 data_time: 0.031585 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.835598 2023/08/10 01:35:06 - mmengine - INFO - Epoch(train) [168][300/327] lr: 5.000000e-04 eta: 1:20:10 time: 0.345452 data_time: 0.031811 memory: 4563 loss: 0.000522 loss_kpt: 0.000522 acc_pose: 0.905917 2023/08/10 01:35:09 - mmengine - INFO - Epoch(train) [168][310/327] lr: 5.000000e-04 eta: 1:20:07 time: 0.345753 data_time: 0.032140 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.936098 2023/08/10 01:35:13 - mmengine - INFO - Epoch(train) [168][320/327] lr: 5.000000e-04 eta: 1:20:03 time: 0.347968 data_time: 0.032516 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.974942 2023/08/10 01:35:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:35:19 - mmengine - INFO - Epoch(train) [169][ 10/327] lr: 5.000000e-04 eta: 1:19:58 time: 0.347695 data_time: 0.035370 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.936793 2023/08/10 01:35:22 - mmengine - INFO - Epoch(train) [169][ 20/327] lr: 5.000000e-04 eta: 1:19:54 time: 0.343458 data_time: 0.034912 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.940805 2023/08/10 01:35:25 - mmengine - INFO - Epoch(train) [169][ 30/327] lr: 5.000000e-04 eta: 1:19:50 time: 0.341243 data_time: 0.034589 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.894934 2023/08/10 01:35:29 - mmengine - INFO - Epoch(train) [169][ 40/327] lr: 5.000000e-04 eta: 1:19:47 time: 0.338747 data_time: 0.034356 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.945979 2023/08/10 01:35:32 - mmengine - INFO - Epoch(train) [169][ 50/327] lr: 5.000000e-04 eta: 1:19:43 time: 0.343151 data_time: 0.035030 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.908168 2023/08/10 01:35:36 - mmengine - INFO - Epoch(train) [169][ 60/327] lr: 5.000000e-04 eta: 1:19:40 time: 0.341359 data_time: 0.034483 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.858682 2023/08/10 01:35:37 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:35:39 - mmengine - INFO - Epoch(train) [169][ 70/327] lr: 5.000000e-04 eta: 1:19:36 time: 0.340878 data_time: 0.034923 memory: 4563 loss: 0.000553 loss_kpt: 0.000553 acc_pose: 0.901882 2023/08/10 01:35:42 - mmengine - INFO - Epoch(train) [169][ 80/327] lr: 5.000000e-04 eta: 1:19:33 time: 0.341005 data_time: 0.035435 memory: 4563 loss: 0.000540 loss_kpt: 0.000540 acc_pose: 0.920086 2023/08/10 01:35:46 - mmengine - INFO - Epoch(train) [169][ 90/327] lr: 5.000000e-04 eta: 1:19:29 time: 0.340837 data_time: 0.035553 memory: 4563 loss: 0.000534 loss_kpt: 0.000534 acc_pose: 0.955642 2023/08/10 01:35:49 - mmengine - INFO - Epoch(train) [169][100/327] lr: 5.000000e-04 eta: 1:19:26 time: 0.337625 data_time: 0.035944 memory: 4563 loss: 0.000520 loss_kpt: 0.000520 acc_pose: 0.950211 2023/08/10 01:35:53 - mmengine - INFO - Epoch(train) [169][110/327] lr: 5.000000e-04 eta: 1:19:22 time: 0.338803 data_time: 0.032761 memory: 4563 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.921693 2023/08/10 01:35:56 - mmengine - INFO - Epoch(train) [169][120/327] lr: 5.000000e-04 eta: 1:19:19 time: 0.340970 data_time: 0.033042 memory: 4563 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.954630 2023/08/10 01:35:59 - mmengine - INFO - Epoch(train) [169][130/327] lr: 5.000000e-04 eta: 1:19:15 time: 0.341603 data_time: 0.033353 memory: 4563 loss: 0.000511 loss_kpt: 0.000511 acc_pose: 0.966630 2023/08/10 01:36:03 - mmengine - INFO - Epoch(train) [169][140/327] lr: 5.000000e-04 eta: 1:19:12 time: 0.340253 data_time: 0.033257 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.865894 2023/08/10 01:36:06 - mmengine - INFO - Epoch(train) [169][150/327] lr: 5.000000e-04 eta: 1:19:08 time: 0.338980 data_time: 0.032509 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.879925 2023/08/10 01:36:09 - mmengine - INFO - Epoch(train) [169][160/327] lr: 5.000000e-04 eta: 1:19:05 time: 0.335171 data_time: 0.032302 memory: 4563 loss: 0.000543 loss_kpt: 0.000543 acc_pose: 0.910053 2023/08/10 01:36:13 - mmengine - INFO - Epoch(train) [169][170/327] lr: 5.000000e-04 eta: 1:19:01 time: 0.333901 data_time: 0.031945 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.941611 2023/08/10 01:36:16 - mmengine - INFO - Epoch(train) [169][180/327] lr: 5.000000e-04 eta: 1:18:58 time: 0.335251 data_time: 0.031524 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.959123 2023/08/10 01:36:20 - mmengine - INFO - Epoch(train) [169][190/327] lr: 5.000000e-04 eta: 1:18:54 time: 0.335453 data_time: 0.031418 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.921296 2023/08/10 01:36:23 - mmengine - INFO - Epoch(train) [169][200/327] lr: 5.000000e-04 eta: 1:18:51 time: 0.335137 data_time: 0.031469 memory: 4563 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.949371 2023/08/10 01:36:26 - mmengine - INFO - Epoch(train) [169][210/327] lr: 5.000000e-04 eta: 1:18:47 time: 0.339142 data_time: 0.031471 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.931576 2023/08/10 01:36:30 - mmengine - INFO - Epoch(train) [169][220/327] lr: 5.000000e-04 eta: 1:18:44 time: 0.338349 data_time: 0.030957 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.919614 2023/08/10 01:36:33 - mmengine - INFO - Epoch(train) [169][230/327] lr: 5.000000e-04 eta: 1:18:40 time: 0.339199 data_time: 0.030585 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.947947 2023/08/10 01:36:37 - mmengine - INFO - Epoch(train) [169][240/327] lr: 5.000000e-04 eta: 1:18:37 time: 0.342087 data_time: 0.030803 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.919355 2023/08/10 01:36:40 - mmengine - INFO - Epoch(train) [169][250/327] lr: 5.000000e-04 eta: 1:18:33 time: 0.350189 data_time: 0.031707 memory: 4563 loss: 0.000546 loss_kpt: 0.000546 acc_pose: 0.845320 2023/08/10 01:36:44 - mmengine - INFO - Epoch(train) [169][260/327] lr: 5.000000e-04 eta: 1:18:30 time: 0.346351 data_time: 0.032314 memory: 4563 loss: 0.000549 loss_kpt: 0.000549 acc_pose: 0.917522 2023/08/10 01:36:47 - mmengine - INFO - Epoch(train) [169][270/327] lr: 5.000000e-04 eta: 1:18:26 time: 0.346632 data_time: 0.032397 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.975000 2023/08/10 01:36:50 - mmengine - INFO - Epoch(train) [169][280/327] lr: 5.000000e-04 eta: 1:18:22 time: 0.343222 data_time: 0.032292 memory: 4563 loss: 0.000538 loss_kpt: 0.000538 acc_pose: 1.000000 2023/08/10 01:36:54 - mmengine - INFO - Epoch(train) [169][290/327] lr: 5.000000e-04 eta: 1:18:19 time: 0.341190 data_time: 0.032053 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.874738 2023/08/10 01:36:57 - mmengine - INFO - Epoch(train) [169][300/327] lr: 5.000000e-04 eta: 1:18:15 time: 0.334198 data_time: 0.031151 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.959409 2023/08/10 01:37:00 - mmengine - INFO - Epoch(train) [169][310/327] lr: 5.000000e-04 eta: 1:18:12 time: 0.334592 data_time: 0.031109 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.954034 2023/08/10 01:37:04 - mmengine - INFO - Epoch(train) [169][320/327] lr: 5.000000e-04 eta: 1:18:08 time: 0.337555 data_time: 0.032269 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.906432 2023/08/10 01:37:06 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:37:10 - mmengine - INFO - Epoch(train) [170][ 10/327] lr: 5.000000e-04 eta: 1:18:02 time: 0.341358 data_time: 0.036006 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.885484 2023/08/10 01:37:13 - mmengine - INFO - Epoch(train) [170][ 20/327] lr: 5.000000e-04 eta: 1:17:59 time: 0.340436 data_time: 0.035916 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.950211 2023/08/10 01:37:17 - mmengine - INFO - Epoch(train) [170][ 30/327] lr: 5.000000e-04 eta: 1:17:55 time: 0.341072 data_time: 0.035272 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.965517 2023/08/10 01:37:20 - mmengine - INFO - Epoch(train) [170][ 40/327] lr: 5.000000e-04 eta: 1:17:52 time: 0.344470 data_time: 0.035056 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.947044 2023/08/10 01:37:24 - mmengine - INFO - Epoch(train) [170][ 50/327] lr: 5.000000e-04 eta: 1:17:48 time: 0.344626 data_time: 0.035487 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.932701 2023/08/10 01:37:27 - mmengine - INFO - Epoch(train) [170][ 60/327] lr: 5.000000e-04 eta: 1:17:45 time: 0.342827 data_time: 0.032083 memory: 4563 loss: 0.000541 loss_kpt: 0.000541 acc_pose: 0.926286 2023/08/10 01:37:30 - mmengine - INFO - Epoch(train) [170][ 70/327] lr: 5.000000e-04 eta: 1:17:41 time: 0.343961 data_time: 0.032713 memory: 4563 loss: 0.000550 loss_kpt: 0.000550 acc_pose: 0.911538 2023/08/10 01:37:34 - mmengine - INFO - Epoch(train) [170][ 80/327] lr: 5.000000e-04 eta: 1:17:38 time: 0.341872 data_time: 0.033114 memory: 4563 loss: 0.000545 loss_kpt: 0.000545 acc_pose: 0.940517 2023/08/10 01:37:37 - mmengine - INFO - Epoch(train) [170][ 90/327] lr: 5.000000e-04 eta: 1:17:34 time: 0.337311 data_time: 0.033152 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.950480 2023/08/10 01:37:40 - mmengine - INFO - Epoch(train) [170][100/327] lr: 5.000000e-04 eta: 1:17:31 time: 0.335469 data_time: 0.033103 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.953605 2023/08/10 01:37:44 - mmengine - INFO - Epoch(train) [170][110/327] lr: 5.000000e-04 eta: 1:17:27 time: 0.332971 data_time: 0.032445 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.943548 2023/08/10 01:37:47 - mmengine - INFO - Epoch(train) [170][120/327] lr: 5.000000e-04 eta: 1:17:24 time: 0.333554 data_time: 0.031976 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.925501 2023/08/10 01:37:50 - mmengine - INFO - Epoch(train) [170][130/327] lr: 5.000000e-04 eta: 1:17:20 time: 0.335092 data_time: 0.032026 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.912562 2023/08/10 01:37:54 - mmengine - INFO - Epoch(train) [170][140/327] lr: 5.000000e-04 eta: 1:17:17 time: 0.339315 data_time: 0.032574 memory: 4563 loss: 0.000529 loss_kpt: 0.000529 acc_pose: 0.963932 2023/08/10 01:37:57 - mmengine - INFO - Epoch(train) [170][150/327] lr: 5.000000e-04 eta: 1:17:13 time: 0.341104 data_time: 0.032690 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.965150 2023/08/10 01:38:01 - mmengine - INFO - Epoch(train) [170][160/327] lr: 5.000000e-04 eta: 1:17:10 time: 0.341014 data_time: 0.032672 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.918093 2023/08/10 01:38:04 - mmengine - INFO - Epoch(train) [170][170/327] lr: 5.000000e-04 eta: 1:17:06 time: 0.341223 data_time: 0.033070 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.871839 2023/08/10 01:38:08 - mmengine - INFO - Epoch(train) [170][180/327] lr: 5.000000e-04 eta: 1:17:03 time: 0.341630 data_time: 0.033201 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.947352 2023/08/10 01:38:11 - mmengine - INFO - Epoch(train) [170][190/327] lr: 5.000000e-04 eta: 1:16:59 time: 0.346074 data_time: 0.033142 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.829244 2023/08/10 01:38:15 - mmengine - INFO - Epoch(train) [170][200/327] lr: 5.000000e-04 eta: 1:16:56 time: 0.347425 data_time: 0.033187 memory: 4563 loss: 0.000519 loss_kpt: 0.000519 acc_pose: 0.884544 2023/08/10 01:38:18 - mmengine - INFO - Epoch(train) [170][210/327] lr: 5.000000e-04 eta: 1:16:52 time: 0.353243 data_time: 0.033696 memory: 4563 loss: 0.000523 loss_kpt: 0.000523 acc_pose: 0.873260 2023/08/10 01:38:22 - mmengine - INFO - Epoch(train) [170][220/327] lr: 5.000000e-04 eta: 1:16:49 time: 0.355093 data_time: 0.033743 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.912739 2023/08/10 01:38:25 - mmengine - INFO - Epoch(train) [170][230/327] lr: 5.000000e-04 eta: 1:16:45 time: 0.354412 data_time: 0.033257 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.897992 2023/08/10 01:38:29 - mmengine - INFO - Epoch(train) [170][240/327] lr: 5.000000e-04 eta: 1:16:42 time: 0.346423 data_time: 0.032476 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.890451 2023/08/10 01:38:32 - mmengine - INFO - Epoch(train) [170][250/327] lr: 5.000000e-04 eta: 1:16:38 time: 0.345291 data_time: 0.032069 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.906166 2023/08/10 01:38:35 - mmengine - INFO - Epoch(train) [170][260/327] lr: 5.000000e-04 eta: 1:16:35 time: 0.340416 data_time: 0.032153 memory: 4563 loss: 0.000539 loss_kpt: 0.000539 acc_pose: 0.906322 2023/08/10 01:38:39 - mmengine - INFO - Epoch(train) [170][270/327] lr: 5.000000e-04 eta: 1:16:31 time: 0.340779 data_time: 0.031729 memory: 4563 loss: 0.000544 loss_kpt: 0.000544 acc_pose: 0.910648 2023/08/10 01:38:42 - mmengine - INFO - Epoch(train) [170][280/327] lr: 5.000000e-04 eta: 1:16:28 time: 0.342161 data_time: 0.031714 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.921449 2023/08/10 01:38:46 - mmengine - INFO - Epoch(train) [170][290/327] lr: 5.000000e-04 eta: 1:16:24 time: 0.341758 data_time: 0.032257 memory: 4563 loss: 0.000537 loss_kpt: 0.000537 acc_pose: 0.919540 2023/08/10 01:38:49 - mmengine - INFO - Epoch(train) [170][300/327] lr: 5.000000e-04 eta: 1:16:21 time: 0.340080 data_time: 0.031999 memory: 4563 loss: 0.000535 loss_kpt: 0.000535 acc_pose: 0.925519 2023/08/10 01:38:52 - mmengine - INFO - Epoch(train) [170][310/327] lr: 5.000000e-04 eta: 1:16:17 time: 0.338434 data_time: 0.031088 memory: 4563 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.898731 2023/08/10 01:38:56 - mmengine - INFO - Epoch(train) [170][320/327] lr: 5.000000e-04 eta: 1:16:13 time: 0.335090 data_time: 0.031315 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.918269 2023/08/10 01:38:58 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:38:58 - mmengine - INFO - Saving checkpoint at 170 epochs 2023/08/10 01:39:04 - mmengine - INFO - Epoch(val) [170][10/79] eta: 0:00:14 time: 0.196683 data_time: 0.013480 memory: 4563 2023/08/10 01:39:06 - mmengine - INFO - Epoch(val) [170][20/79] eta: 0:00:11 time: 0.196496 data_time: 0.013401 memory: 1634 2023/08/10 01:39:08 - mmengine - INFO - Epoch(val) [170][30/79] eta: 0:00:09 time: 0.196749 data_time: 0.013579 memory: 1634 2023/08/10 01:39:10 - mmengine - INFO - Epoch(val) [170][40/79] eta: 0:00:07 time: 0.196996 data_time: 0.013810 memory: 1634 2023/08/10 01:39:12 - mmengine - INFO - Epoch(val) [170][50/79] eta: 0:00:05 time: 0.198044 data_time: 0.013616 memory: 1634 2023/08/10 01:39:14 - mmengine - INFO - Epoch(val) [170][60/79] eta: 0:00:03 time: 0.195212 data_time: 0.011533 memory: 1634 2023/08/10 01:39:16 - mmengine - INFO - Epoch(val) [170][70/79] eta: 0:00:01 time: 0.195124 data_time: 0.011433 memory: 1634 2023/08/10 01:39:18 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 01:39:18 - mmengine - INFO - Evaluating AUC... 2023/08/10 01:39:18 - mmengine - INFO - Evaluating EPE... 2023/08/10 01:39:18 - mmengine - INFO - Epoch(val) [170][79/79] PCK: 0.975352 AUC: 0.756710 EPE: 9.141126 data_time: 0.012593 time: 0.194599 2023/08/10 01:39:22 - mmengine - INFO - Epoch(train) [171][ 10/327] lr: 5.000000e-05 eta: 1:16:08 time: 0.339067 data_time: 0.034232 memory: 4563 loss: 0.000536 loss_kpt: 0.000536 acc_pose: 0.934372 2023/08/10 01:39:25 - mmengine - INFO - Epoch(train) [171][ 20/327] lr: 5.000000e-05 eta: 1:16:04 time: 0.341078 data_time: 0.034422 memory: 4563 loss: 0.000532 loss_kpt: 0.000532 acc_pose: 0.910938 2023/08/10 01:39:29 - mmengine - INFO - Epoch(train) [171][ 30/327] lr: 5.000000e-05 eta: 1:16:01 time: 0.346452 data_time: 0.035550 memory: 4563 loss: 0.000521 loss_kpt: 0.000521 acc_pose: 0.982143 2023/08/10 01:39:32 - mmengine - INFO - Epoch(train) [171][ 40/327] lr: 5.000000e-05 eta: 1:15:57 time: 0.350424 data_time: 0.035326 memory: 4563 loss: 0.000524 loss_kpt: 0.000524 acc_pose: 0.915784 2023/08/10 01:39:36 - mmengine - INFO - Epoch(train) [171][ 50/327] lr: 5.000000e-05 eta: 1:15:54 time: 0.351703 data_time: 0.036291 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.917130 2023/08/10 01:39:39 - mmengine - INFO - Epoch(train) [171][ 60/327] lr: 5.000000e-05 eta: 1:15:50 time: 0.342895 data_time: 0.032010 memory: 4563 loss: 0.000514 loss_kpt: 0.000514 acc_pose: 0.906487 2023/08/10 01:39:42 - mmengine - INFO - Epoch(train) [171][ 70/327] lr: 5.000000e-05 eta: 1:15:46 time: 0.341552 data_time: 0.032123 memory: 4563 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.918956 2023/08/10 01:39:46 - mmengine - INFO - Epoch(train) [171][ 80/327] lr: 5.000000e-05 eta: 1:15:43 time: 0.338650 data_time: 0.031416 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.937762 2023/08/10 01:39:49 - mmengine - INFO - Epoch(train) [171][ 90/327] lr: 5.000000e-05 eta: 1:15:39 time: 0.334795 data_time: 0.031225 memory: 4563 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.932759 2023/08/10 01:39:52 - mmengine - INFO - Epoch(train) [171][100/327] lr: 5.000000e-05 eta: 1:15:36 time: 0.336931 data_time: 0.031923 memory: 4563 loss: 0.000527 loss_kpt: 0.000527 acc_pose: 0.971154 2023/08/10 01:39:56 - mmengine - INFO - Epoch(train) [171][110/327] lr: 5.000000e-05 eta: 1:15:32 time: 0.338796 data_time: 0.032759 memory: 4563 loss: 0.000502 loss_kpt: 0.000502 acc_pose: 0.983871 2023/08/10 01:39:59 - mmengine - INFO - Epoch(train) [171][120/327] lr: 5.000000e-05 eta: 1:15:29 time: 0.345077 data_time: 0.032597 memory: 4563 loss: 0.000507 loss_kpt: 0.000507 acc_pose: 0.965209 2023/08/10 01:40:03 - mmengine - INFO - Epoch(train) [171][130/327] lr: 5.000000e-05 eta: 1:15:25 time: 0.343187 data_time: 0.032340 memory: 4563 loss: 0.000531 loss_kpt: 0.000531 acc_pose: 0.883929 2023/08/10 01:40:06 - mmengine - INFO - Epoch(train) [171][140/327] lr: 5.000000e-05 eta: 1:15:22 time: 0.345351 data_time: 0.035693 memory: 4563 loss: 0.000533 loss_kpt: 0.000533 acc_pose: 0.908815 2023/08/10 01:40:10 - mmengine - INFO - Epoch(train) [171][150/327] lr: 5.000000e-05 eta: 1:15:18 time: 0.347414 data_time: 0.035767 memory: 4563 loss: 0.000525 loss_kpt: 0.000525 acc_pose: 0.949368 2023/08/10 01:40:13 - mmengine - INFO - Epoch(train) [171][160/327] lr: 5.000000e-05 eta: 1:15:15 time: 0.347483 data_time: 0.035717 memory: 4563 loss: 0.000530 loss_kpt: 0.000530 acc_pose: 0.889978 2023/08/10 01:40:17 - mmengine - INFO - Epoch(train) [171][170/327] lr: 5.000000e-05 eta: 1:15:11 time: 0.343774 data_time: 0.035846 memory: 4563 loss: 0.000528 loss_kpt: 0.000528 acc_pose: 0.948499 2023/08/10 01:40:20 - mmengine - INFO - Epoch(train) [171][180/327] lr: 5.000000e-05 eta: 1:15:08 time: 0.345159 data_time: 0.036443 memory: 4563 loss: 0.000506 loss_kpt: 0.000506 acc_pose: 0.874621 2023/08/10 01:40:24 - mmengine - INFO - Epoch(train) [171][190/327] lr: 5.000000e-05 eta: 1:15:04 time: 0.344500 data_time: 0.033830 memory: 4563 loss: 0.000503 loss_kpt: 0.000503 acc_pose: 0.922974 2023/08/10 01:40:27 - mmengine - INFO - Epoch(train) [171][200/327] lr: 5.000000e-05 eta: 1:15:01 time: 0.341202 data_time: 0.033876 memory: 4563 loss: 0.000486 loss_kpt: 0.000486 acc_pose: 0.904380 2023/08/10 01:40:30 - mmengine - INFO - Epoch(train) [171][210/327] lr: 5.000000e-05 eta: 1:14:57 time: 0.341798 data_time: 0.033531 memory: 4563 loss: 0.000477 loss_kpt: 0.000477 acc_pose: 0.964459 2023/08/10 01:40:34 - mmengine - INFO - Epoch(train) [171][220/327] lr: 5.000000e-05 eta: 1:14:54 time: 0.340240 data_time: 0.033533 memory: 4563 loss: 0.000486 loss_kpt: 0.000486 acc_pose: 0.893404 2023/08/10 01:40:37 - mmengine - INFO - Epoch(train) [171][230/327] lr: 5.000000e-05 eta: 1:14:50 time: 0.339514 data_time: 0.033029 memory: 4563 loss: 0.000493 loss_kpt: 0.000493 acc_pose: 0.956816 2023/08/10 01:40:41 - mmengine - INFO - Epoch(train) [171][240/327] lr: 5.000000e-05 eta: 1:14:47 time: 0.339666 data_time: 0.032756 memory: 4563 loss: 0.000488 loss_kpt: 0.000488 acc_pose: 0.925297 2023/08/10 01:40:44 - mmengine - INFO - Epoch(train) [171][250/327] lr: 5.000000e-05 eta: 1:14:43 time: 0.338606 data_time: 0.031877 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.945584 2023/08/10 01:40:47 - mmengine - INFO - Epoch(train) [171][260/327] lr: 5.000000e-05 eta: 1:14:40 time: 0.337509 data_time: 0.031484 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.954673 2023/08/10 01:40:51 - mmengine - INFO - Epoch(train) [171][270/327] lr: 5.000000e-05 eta: 1:14:36 time: 0.335886 data_time: 0.031237 memory: 4563 loss: 0.000499 loss_kpt: 0.000499 acc_pose: 0.938897 2023/08/10 01:40:54 - mmengine - INFO - Epoch(train) [171][280/327] lr: 5.000000e-05 eta: 1:14:33 time: 0.335382 data_time: 0.031181 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.913424 2023/08/10 01:40:57 - mmengine - INFO - Epoch(train) [171][290/327] lr: 5.000000e-05 eta: 1:14:29 time: 0.335472 data_time: 0.031372 memory: 4563 loss: 0.000515 loss_kpt: 0.000515 acc_pose: 0.967134 2023/08/10 01:41:01 - mmengine - INFO - Epoch(train) [171][300/327] lr: 5.000000e-05 eta: 1:14:26 time: 0.337578 data_time: 0.031429 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.893548 2023/08/10 01:41:04 - mmengine - INFO - Epoch(train) [171][310/327] lr: 5.000000e-05 eta: 1:14:22 time: 0.339617 data_time: 0.032256 memory: 4563 loss: 0.000516 loss_kpt: 0.000516 acc_pose: 0.980655 2023/08/10 01:41:08 - mmengine - INFO - Epoch(train) [171][320/327] lr: 5.000000e-05 eta: 1:14:19 time: 0.343689 data_time: 0.035884 memory: 4563 loss: 0.000509 loss_kpt: 0.000509 acc_pose: 0.941342 2023/08/10 01:41:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:41:14 - mmengine - INFO - Epoch(train) [172][ 10/327] lr: 5.000000e-05 eta: 1:14:13 time: 0.350222 data_time: 0.039648 memory: 4563 loss: 0.000488 loss_kpt: 0.000488 acc_pose: 0.941667 2023/08/10 01:41:17 - mmengine - INFO - Epoch(train) [172][ 20/327] lr: 5.000000e-05 eta: 1:14:09 time: 0.350180 data_time: 0.039278 memory: 4563 loss: 0.000484 loss_kpt: 0.000484 acc_pose: 0.972149 2023/08/10 01:41:21 - mmengine - INFO - Epoch(train) [172][ 30/327] lr: 5.000000e-05 eta: 1:14:06 time: 0.350110 data_time: 0.039020 memory: 4563 loss: 0.000467 loss_kpt: 0.000467 acc_pose: 0.921419 2023/08/10 01:41:24 - mmengine - INFO - Epoch(train) [172][ 40/327] lr: 5.000000e-05 eta: 1:14:02 time: 0.349181 data_time: 0.035769 memory: 4563 loss: 0.000472 loss_kpt: 0.000472 acc_pose: 0.959625 2023/08/10 01:41:28 - mmengine - INFO - Epoch(train) [172][ 50/327] lr: 5.000000e-05 eta: 1:13:59 time: 0.353997 data_time: 0.035879 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.945388 2023/08/10 01:41:31 - mmengine - INFO - Epoch(train) [172][ 60/327] lr: 5.000000e-05 eta: 1:13:55 time: 0.347571 data_time: 0.031575 memory: 4563 loss: 0.000481 loss_kpt: 0.000481 acc_pose: 0.924256 2023/08/10 01:41:35 - mmengine - INFO - Epoch(train) [172][ 70/327] lr: 5.000000e-05 eta: 1:13:52 time: 0.348181 data_time: 0.032540 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.923718 2023/08/10 01:41:38 - mmengine - INFO - Epoch(train) [172][ 80/327] lr: 5.000000e-05 eta: 1:13:48 time: 0.346864 data_time: 0.033155 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.910053 2023/08/10 01:41:39 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:41:42 - mmengine - INFO - Epoch(train) [172][ 90/327] lr: 5.000000e-05 eta: 1:13:45 time: 0.346965 data_time: 0.033634 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.967708 2023/08/10 01:41:45 - mmengine - INFO - Epoch(train) [172][100/327] lr: 5.000000e-05 eta: 1:13:41 time: 0.345847 data_time: 0.033641 memory: 4563 loss: 0.000504 loss_kpt: 0.000504 acc_pose: 0.868011 2023/08/10 01:41:48 - mmengine - INFO - Epoch(train) [172][110/327] lr: 5.000000e-05 eta: 1:13:38 time: 0.346084 data_time: 0.033541 memory: 4563 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.972527 2023/08/10 01:41:52 - mmengine - INFO - Epoch(train) [172][120/327] lr: 5.000000e-05 eta: 1:13:34 time: 0.346381 data_time: 0.032989 memory: 4563 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.965517 2023/08/10 01:41:55 - mmengine - INFO - Epoch(train) [172][130/327] lr: 5.000000e-05 eta: 1:13:31 time: 0.345502 data_time: 0.032054 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.940972 2023/08/10 01:41:59 - mmengine - INFO - Epoch(train) [172][140/327] lr: 5.000000e-05 eta: 1:13:27 time: 0.346331 data_time: 0.031301 memory: 4563 loss: 0.000490 loss_kpt: 0.000490 acc_pose: 0.845957 2023/08/10 01:42:02 - mmengine - INFO - Epoch(train) [172][150/327] lr: 5.000000e-05 eta: 1:13:24 time: 0.345671 data_time: 0.031206 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.937494 2023/08/10 01:42:06 - mmengine - INFO - Epoch(train) [172][160/327] lr: 5.000000e-05 eta: 1:13:20 time: 0.345654 data_time: 0.031160 memory: 4563 loss: 0.000479 loss_kpt: 0.000479 acc_pose: 0.887007 2023/08/10 01:42:09 - mmengine - INFO - Epoch(train) [172][170/327] lr: 5.000000e-05 eta: 1:13:17 time: 0.348737 data_time: 0.034246 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.974000 2023/08/10 01:42:13 - mmengine - INFO - Epoch(train) [172][180/327] lr: 5.000000e-05 eta: 1:13:13 time: 0.349005 data_time: 0.034280 memory: 4563 loss: 0.000500 loss_kpt: 0.000500 acc_pose: 0.897297 2023/08/10 01:42:17 - mmengine - INFO - Epoch(train) [172][190/327] lr: 5.000000e-05 eta: 1:13:10 time: 0.353962 data_time: 0.035193 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.972222 2023/08/10 01:42:20 - mmengine - INFO - Epoch(train) [172][200/327] lr: 5.000000e-05 eta: 1:13:06 time: 0.363240 data_time: 0.035563 memory: 4563 loss: 0.000518 loss_kpt: 0.000518 acc_pose: 0.951058 2023/08/10 01:42:24 - mmengine - INFO - Epoch(train) [172][210/327] lr: 5.000000e-05 eta: 1:13:03 time: 0.362806 data_time: 0.035559 memory: 4563 loss: 0.000517 loss_kpt: 0.000517 acc_pose: 0.945437 2023/08/10 01:42:27 - mmengine - INFO - Epoch(train) [172][220/327] lr: 5.000000e-05 eta: 1:12:59 time: 0.359060 data_time: 0.032026 memory: 4563 loss: 0.000512 loss_kpt: 0.000512 acc_pose: 0.922169 2023/08/10 01:42:31 - mmengine - INFO - Epoch(train) [172][230/327] lr: 5.000000e-05 eta: 1:12:56 time: 0.358666 data_time: 0.031963 memory: 4563 loss: 0.000510 loss_kpt: 0.000510 acc_pose: 0.881481 2023/08/10 01:42:34 - mmengine - INFO - Epoch(train) [172][240/327] lr: 5.000000e-05 eta: 1:12:52 time: 0.353580 data_time: 0.031045 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.901717 2023/08/10 01:42:38 - mmengine - INFO - Epoch(train) [172][250/327] lr: 5.000000e-05 eta: 1:12:49 time: 0.345500 data_time: 0.030928 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.940683 2023/08/10 01:42:41 - mmengine - INFO - Epoch(train) [172][260/327] lr: 5.000000e-05 eta: 1:12:45 time: 0.352135 data_time: 0.031685 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.973830 2023/08/10 01:42:45 - mmengine - INFO - Epoch(train) [172][270/327] lr: 5.000000e-05 eta: 1:12:42 time: 0.355338 data_time: 0.032469 memory: 4563 loss: 0.000508 loss_kpt: 0.000508 acc_pose: 0.871574 2023/08/10 01:42:48 - mmengine - INFO - Epoch(train) [172][280/327] lr: 5.000000e-05 eta: 1:12:38 time: 0.354642 data_time: 0.032307 memory: 4563 loss: 0.000505 loss_kpt: 0.000505 acc_pose: 0.953984 2023/08/10 01:42:52 - mmengine - INFO - Epoch(train) [172][290/327] lr: 5.000000e-05 eta: 1:12:35 time: 0.353119 data_time: 0.032170 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.958683 2023/08/10 01:42:55 - mmengine - INFO - Epoch(train) [172][300/327] lr: 5.000000e-05 eta: 1:12:31 time: 0.353318 data_time: 0.032114 memory: 4563 loss: 0.000526 loss_kpt: 0.000526 acc_pose: 0.906014 2023/08/10 01:42:59 - mmengine - INFO - Epoch(train) [172][310/327] lr: 5.000000e-05 eta: 1:12:28 time: 0.347349 data_time: 0.031834 memory: 4563 loss: 0.000513 loss_kpt: 0.000513 acc_pose: 0.943011 2023/08/10 01:43:02 - mmengine - INFO - Epoch(train) [172][320/327] lr: 5.000000e-05 eta: 1:12:24 time: 0.345580 data_time: 0.031891 memory: 4563 loss: 0.000501 loss_kpt: 0.000501 acc_pose: 0.896776 2023/08/10 01:43:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:43:08 - mmengine - INFO - Epoch(train) [173][ 10/327] lr: 5.000000e-05 eta: 1:12:18 time: 0.347401 data_time: 0.035407 memory: 4563 loss: 0.000492 loss_kpt: 0.000492 acc_pose: 0.933009 2023/08/10 01:43:12 - mmengine - INFO - Epoch(train) [173][ 20/327] lr: 5.000000e-05 eta: 1:12:15 time: 0.351163 data_time: 0.038058 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.983602 2023/08/10 01:43:15 - mmengine - INFO - Epoch(train) [173][ 30/327] lr: 5.000000e-05 eta: 1:12:11 time: 0.348646 data_time: 0.037895 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.922827 2023/08/10 01:43:19 - mmengine - INFO - Epoch(train) [173][ 40/327] lr: 5.000000e-05 eta: 1:12:08 time: 0.349861 data_time: 0.037847 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.974713 2023/08/10 01:43:22 - mmengine - INFO - Epoch(train) [173][ 50/327] lr: 5.000000e-05 eta: 1:12:04 time: 0.349459 data_time: 0.038278 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.957163 2023/08/10 01:43:26 - mmengine - INFO - Epoch(train) [173][ 60/327] lr: 5.000000e-05 eta: 1:12:01 time: 0.346822 data_time: 0.034666 memory: 4563 loss: 0.000497 loss_kpt: 0.000497 acc_pose: 0.904782 2023/08/10 01:43:29 - mmengine - INFO - Epoch(train) [173][ 70/327] lr: 5.000000e-05 eta: 1:11:57 time: 0.339773 data_time: 0.031873 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.954696 2023/08/10 01:43:32 - mmengine - INFO - Epoch(train) [173][ 80/327] lr: 5.000000e-05 eta: 1:11:54 time: 0.340098 data_time: 0.031689 memory: 4563 loss: 0.000491 loss_kpt: 0.000491 acc_pose: 0.948563 2023/08/10 01:43:36 - mmengine - INFO - Epoch(train) [173][ 90/327] lr: 5.000000e-05 eta: 1:11:50 time: 0.335622 data_time: 0.030852 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.950250 2023/08/10 01:43:39 - mmengine - INFO - Epoch(train) [173][100/327] lr: 5.000000e-05 eta: 1:11:47 time: 0.334735 data_time: 0.030478 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.950000 2023/08/10 01:43:42 - mmengine - INFO - Epoch(train) [173][110/327] lr: 5.000000e-05 eta: 1:11:43 time: 0.335520 data_time: 0.030359 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.942684 2023/08/10 01:43:46 - mmengine - INFO - Epoch(train) [173][120/327] lr: 5.000000e-05 eta: 1:11:40 time: 0.336703 data_time: 0.030263 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.965784 2023/08/10 01:43:49 - mmengine - INFO - Epoch(train) [173][130/327] lr: 5.000000e-05 eta: 1:11:36 time: 0.337902 data_time: 0.030463 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.963889 2023/08/10 01:43:53 - mmengine - INFO - Epoch(train) [173][140/327] lr: 5.000000e-05 eta: 1:11:33 time: 0.338482 data_time: 0.030436 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.928407 2023/08/10 01:43:56 - mmengine - INFO - Epoch(train) [173][150/327] lr: 5.000000e-05 eta: 1:11:29 time: 0.338895 data_time: 0.030750 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.921239 2023/08/10 01:43:59 - mmengine - INFO - Epoch(train) [173][160/327] lr: 5.000000e-05 eta: 1:11:26 time: 0.338333 data_time: 0.030639 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.954579 2023/08/10 01:44:03 - mmengine - INFO - Epoch(train) [173][170/327] lr: 5.000000e-05 eta: 1:11:22 time: 0.345212 data_time: 0.033701 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.923522 2023/08/10 01:44:06 - mmengine - INFO - Epoch(train) [173][180/327] lr: 5.000000e-05 eta: 1:11:19 time: 0.344908 data_time: 0.033564 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.930619 2023/08/10 01:44:10 - mmengine - INFO - Epoch(train) [173][190/327] lr: 5.000000e-05 eta: 1:11:15 time: 0.345138 data_time: 0.033812 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.981481 2023/08/10 01:44:13 - mmengine - INFO - Epoch(train) [173][200/327] lr: 5.000000e-05 eta: 1:11:12 time: 0.346706 data_time: 0.033826 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.959140 2023/08/10 01:44:17 - mmengine - INFO - Epoch(train) [173][210/327] lr: 5.000000e-05 eta: 1:11:08 time: 0.347269 data_time: 0.034241 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.950269 2023/08/10 01:44:20 - mmengine - INFO - Epoch(train) [173][220/327] lr: 5.000000e-05 eta: 1:11:05 time: 0.338376 data_time: 0.030959 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.955268 2023/08/10 01:44:23 - mmengine - INFO - Epoch(train) [173][230/327] lr: 5.000000e-05 eta: 1:11:01 time: 0.336469 data_time: 0.030879 memory: 4563 loss: 0.000470 loss_kpt: 0.000470 acc_pose: 0.915517 2023/08/10 01:44:27 - mmengine - INFO - Epoch(train) [173][240/327] lr: 5.000000e-05 eta: 1:10:58 time: 0.335404 data_time: 0.030604 memory: 4563 loss: 0.000479 loss_kpt: 0.000479 acc_pose: 0.921490 2023/08/10 01:44:30 - mmengine - INFO - Epoch(train) [173][250/327] lr: 5.000000e-05 eta: 1:10:54 time: 0.335438 data_time: 0.030363 memory: 4563 loss: 0.000477 loss_kpt: 0.000477 acc_pose: 0.909372 2023/08/10 01:44:33 - mmengine - INFO - Epoch(train) [173][260/327] lr: 5.000000e-05 eta: 1:10:51 time: 0.335438 data_time: 0.030261 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.908631 2023/08/10 01:44:37 - mmengine - INFO - Epoch(train) [173][270/327] lr: 5.000000e-05 eta: 1:10:47 time: 0.336858 data_time: 0.030611 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.924107 2023/08/10 01:44:40 - mmengine - INFO - Epoch(train) [173][280/327] lr: 5.000000e-05 eta: 1:10:44 time: 0.339079 data_time: 0.031664 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.936111 2023/08/10 01:44:44 - mmengine - INFO - Epoch(train) [173][290/327] lr: 5.000000e-05 eta: 1:10:40 time: 0.340899 data_time: 0.032466 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.848558 2023/08/10 01:44:47 - mmengine - INFO - Epoch(train) [173][300/327] lr: 5.000000e-05 eta: 1:10:37 time: 0.343301 data_time: 0.033147 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.975250 2023/08/10 01:44:51 - mmengine - INFO - Epoch(train) [173][310/327] lr: 5.000000e-05 eta: 1:10:33 time: 0.346079 data_time: 0.033621 memory: 4563 loss: 0.000472 loss_kpt: 0.000472 acc_pose: 0.956458 2023/08/10 01:44:54 - mmengine - INFO - Epoch(train) [173][320/327] lr: 5.000000e-05 eta: 1:10:30 time: 0.346063 data_time: 0.034176 memory: 4563 loss: 0.000479 loss_kpt: 0.000479 acc_pose: 0.901288 2023/08/10 01:44:56 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:45:00 - mmengine - INFO - Epoch(train) [174][ 10/327] lr: 5.000000e-05 eta: 1:10:24 time: 0.348271 data_time: 0.036368 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.931667 2023/08/10 01:45:04 - mmengine - INFO - Epoch(train) [174][ 20/327] lr: 5.000000e-05 eta: 1:10:20 time: 0.345154 data_time: 0.036042 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.942204 2023/08/10 01:45:07 - mmengine - INFO - Epoch(train) [174][ 30/327] lr: 5.000000e-05 eta: 1:10:17 time: 0.343980 data_time: 0.035369 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.910084 2023/08/10 01:45:10 - mmengine - INFO - Epoch(train) [174][ 40/327] lr: 5.000000e-05 eta: 1:10:13 time: 0.339962 data_time: 0.034712 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.934117 2023/08/10 01:45:14 - mmengine - INFO - Epoch(train) [174][ 50/327] lr: 5.000000e-05 eta: 1:10:10 time: 0.340597 data_time: 0.035442 memory: 4563 loss: 0.000470 loss_kpt: 0.000470 acc_pose: 0.910954 2023/08/10 01:45:17 - mmengine - INFO - Epoch(train) [174][ 60/327] lr: 5.000000e-05 eta: 1:10:06 time: 0.335502 data_time: 0.031283 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.936839 2023/08/10 01:45:20 - mmengine - INFO - Epoch(train) [174][ 70/327] lr: 5.000000e-05 eta: 1:10:03 time: 0.335164 data_time: 0.031316 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.964215 2023/08/10 01:45:24 - mmengine - INFO - Epoch(train) [174][ 80/327] lr: 5.000000e-05 eta: 1:09:59 time: 0.335642 data_time: 0.032080 memory: 4563 loss: 0.000472 loss_kpt: 0.000472 acc_pose: 0.968750 2023/08/10 01:45:27 - mmengine - INFO - Epoch(train) [174][ 90/327] lr: 5.000000e-05 eta: 1:09:56 time: 0.337553 data_time: 0.032508 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.909875 2023/08/10 01:45:31 - mmengine - INFO - Epoch(train) [174][100/327] lr: 5.000000e-05 eta: 1:09:52 time: 0.339547 data_time: 0.032620 memory: 4563 loss: 0.000459 loss_kpt: 0.000459 acc_pose: 0.921508 2023/08/10 01:45:34 - mmengine - INFO - Epoch(train) [174][110/327] lr: 5.000000e-05 eta: 1:09:48 time: 0.338879 data_time: 0.032447 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.916206 2023/08/10 01:45:37 - mmengine - INFO - Epoch(train) [174][120/327] lr: 5.000000e-05 eta: 1:09:45 time: 0.340263 data_time: 0.031953 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.914497 2023/08/10 01:45:41 - mmengine - INFO - Epoch(train) [174][130/327] lr: 5.000000e-05 eta: 1:09:41 time: 0.342733 data_time: 0.034264 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.973499 2023/08/10 01:45:44 - mmengine - INFO - Epoch(train) [174][140/327] lr: 5.000000e-05 eta: 1:09:38 time: 0.342471 data_time: 0.034077 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.908037 2023/08/10 01:45:48 - mmengine - INFO - Epoch(train) [174][150/327] lr: 5.000000e-05 eta: 1:09:34 time: 0.340313 data_time: 0.033787 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.926422 2023/08/10 01:45:51 - mmengine - INFO - Epoch(train) [174][160/327] lr: 5.000000e-05 eta: 1:09:31 time: 0.341895 data_time: 0.034317 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.964240 2023/08/10 01:45:54 - mmengine - INFO - Epoch(train) [174][170/327] lr: 5.000000e-05 eta: 1:09:27 time: 0.339534 data_time: 0.034821 memory: 4563 loss: 0.000476 loss_kpt: 0.000476 acc_pose: 0.973191 2023/08/10 01:45:58 - mmengine - INFO - Epoch(train) [174][180/327] lr: 5.000000e-05 eta: 1:09:24 time: 0.337445 data_time: 0.032445 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.948851 2023/08/10 01:46:01 - mmengine - INFO - Epoch(train) [174][190/327] lr: 5.000000e-05 eta: 1:09:20 time: 0.337061 data_time: 0.033505 memory: 4563 loss: 0.000476 loss_kpt: 0.000476 acc_pose: 0.920744 2023/08/10 01:46:05 - mmengine - INFO - Epoch(train) [174][200/327] lr: 5.000000e-05 eta: 1:09:17 time: 0.340092 data_time: 0.034506 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.958046 2023/08/10 01:46:08 - mmengine - INFO - Epoch(train) [174][210/327] lr: 5.000000e-05 eta: 1:09:13 time: 0.340177 data_time: 0.033956 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.973417 2023/08/10 01:46:11 - mmengine - INFO - Epoch(train) [174][220/327] lr: 5.000000e-05 eta: 1:09:10 time: 0.340958 data_time: 0.033416 memory: 4563 loss: 0.000498 loss_kpt: 0.000498 acc_pose: 0.916593 2023/08/10 01:46:15 - mmengine - INFO - Epoch(train) [174][230/327] lr: 5.000000e-05 eta: 1:09:06 time: 0.345949 data_time: 0.033169 memory: 4563 loss: 0.000493 loss_kpt: 0.000493 acc_pose: 0.991667 2023/08/10 01:46:19 - mmengine - INFO - Epoch(train) [174][240/327] lr: 5.000000e-05 eta: 1:09:03 time: 0.355163 data_time: 0.032351 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.908565 2023/08/10 01:46:22 - mmengine - INFO - Epoch(train) [174][250/327] lr: 5.000000e-05 eta: 1:08:59 time: 0.356706 data_time: 0.031577 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.946932 2023/08/10 01:46:26 - mmengine - INFO - Epoch(train) [174][260/327] lr: 5.000000e-05 eta: 1:08:56 time: 0.355101 data_time: 0.031566 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.943681 2023/08/10 01:46:29 - mmengine - INFO - Epoch(train) [174][270/327] lr: 5.000000e-05 eta: 1:08:52 time: 0.354582 data_time: 0.031771 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.966648 2023/08/10 01:46:32 - mmengine - INFO - Epoch(train) [174][280/327] lr: 5.000000e-05 eta: 1:08:49 time: 0.349060 data_time: 0.031421 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.900000 2023/08/10 01:46:36 - mmengine - INFO - Epoch(train) [174][290/327] lr: 5.000000e-05 eta: 1:08:45 time: 0.339262 data_time: 0.031410 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.911391 2023/08/10 01:46:39 - mmengine - INFO - Epoch(train) [174][300/327] lr: 5.000000e-05 eta: 1:08:42 time: 0.336108 data_time: 0.031635 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.964980 2023/08/10 01:46:43 - mmengine - INFO - Epoch(train) [174][310/327] lr: 5.000000e-05 eta: 1:08:38 time: 0.335789 data_time: 0.031641 memory: 4563 loss: 0.000484 loss_kpt: 0.000484 acc_pose: 0.948543 2023/08/10 01:46:46 - mmengine - INFO - Epoch(train) [174][320/327] lr: 5.000000e-05 eta: 1:08:35 time: 0.336302 data_time: 0.031983 memory: 4563 loss: 0.000479 loss_kpt: 0.000479 acc_pose: 0.965385 2023/08/10 01:46:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:46:52 - mmengine - INFO - Epoch(train) [175][ 10/327] lr: 5.000000e-05 eta: 1:08:29 time: 0.340184 data_time: 0.035134 memory: 4563 loss: 0.000471 loss_kpt: 0.000471 acc_pose: 0.929406 2023/08/10 01:46:55 - mmengine - INFO - Epoch(train) [175][ 20/327] lr: 5.000000e-05 eta: 1:08:25 time: 0.341174 data_time: 0.035363 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.935556 2023/08/10 01:46:59 - mmengine - INFO - Epoch(train) [175][ 30/327] lr: 5.000000e-05 eta: 1:08:22 time: 0.349243 data_time: 0.035724 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.907662 2023/08/10 01:47:03 - mmengine - INFO - Epoch(train) [175][ 40/327] lr: 5.000000e-05 eta: 1:08:18 time: 0.352166 data_time: 0.035387 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.938776 2023/08/10 01:47:06 - mmengine - INFO - Epoch(train) [175][ 50/327] lr: 5.000000e-05 eta: 1:08:15 time: 0.355940 data_time: 0.036669 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.938296 2023/08/10 01:47:10 - mmengine - INFO - Epoch(train) [175][ 60/327] lr: 5.000000e-05 eta: 1:08:11 time: 0.352812 data_time: 0.032832 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.896243 2023/08/10 01:47:13 - mmengine - INFO - Epoch(train) [175][ 70/327] lr: 5.000000e-05 eta: 1:08:08 time: 0.352707 data_time: 0.032819 memory: 4563 loss: 0.000476 loss_kpt: 0.000476 acc_pose: 0.755558 2023/08/10 01:47:16 - mmengine - INFO - Epoch(train) [175][ 80/327] lr: 5.000000e-05 eta: 1:08:04 time: 0.346426 data_time: 0.032327 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.893630 2023/08/10 01:47:20 - mmengine - INFO - Epoch(train) [175][ 90/327] lr: 5.000000e-05 eta: 1:08:01 time: 0.345111 data_time: 0.032643 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.949981 2023/08/10 01:47:23 - mmengine - INFO - Epoch(train) [175][100/327] lr: 5.000000e-05 eta: 1:07:57 time: 0.347477 data_time: 0.035530 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.975000 2023/08/10 01:47:24 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:47:27 - mmengine - INFO - Epoch(train) [175][110/327] lr: 5.000000e-05 eta: 1:07:54 time: 0.347752 data_time: 0.035049 memory: 4563 loss: 0.000470 loss_kpt: 0.000470 acc_pose: 0.890527 2023/08/10 01:47:30 - mmengine - INFO - Epoch(train) [175][120/327] lr: 5.000000e-05 eta: 1:07:50 time: 0.347695 data_time: 0.034494 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.939220 2023/08/10 01:47:34 - mmengine - INFO - Epoch(train) [175][130/327] lr: 5.000000e-05 eta: 1:07:47 time: 0.349282 data_time: 0.034660 memory: 4563 loss: 0.000467 loss_kpt: 0.000467 acc_pose: 0.951613 2023/08/10 01:47:37 - mmengine - INFO - Epoch(train) [175][140/327] lr: 5.000000e-05 eta: 1:07:43 time: 0.350853 data_time: 0.034801 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.915517 2023/08/10 01:47:41 - mmengine - INFO - Epoch(train) [175][150/327] lr: 5.000000e-05 eta: 1:07:40 time: 0.351492 data_time: 0.031956 memory: 4563 loss: 0.000471 loss_kpt: 0.000471 acc_pose: 0.975000 2023/08/10 01:47:45 - mmengine - INFO - Epoch(train) [175][160/327] lr: 5.000000e-05 eta: 1:07:37 time: 0.351813 data_time: 0.032398 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.923235 2023/08/10 01:47:48 - mmengine - INFO - Epoch(train) [175][170/327] lr: 5.000000e-05 eta: 1:07:33 time: 0.359701 data_time: 0.033254 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.963177 2023/08/10 01:47:52 - mmengine - INFO - Epoch(train) [175][180/327] lr: 5.000000e-05 eta: 1:07:30 time: 0.367182 data_time: 0.033175 memory: 4563 loss: 0.000459 loss_kpt: 0.000459 acc_pose: 0.964881 2023/08/10 01:47:56 - mmengine - INFO - Epoch(train) [175][190/327] lr: 5.000000e-05 eta: 1:07:26 time: 0.373131 data_time: 0.032795 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.949138 2023/08/10 01:48:00 - mmengine - INFO - Epoch(train) [175][200/327] lr: 5.000000e-05 eta: 1:07:23 time: 0.377289 data_time: 0.032622 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.964550 2023/08/10 01:48:04 - mmengine - INFO - Epoch(train) [175][210/327] lr: 5.000000e-05 eta: 1:07:19 time: 0.382976 data_time: 0.032417 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.967204 2023/08/10 01:48:07 - mmengine - INFO - Epoch(train) [175][220/327] lr: 5.000000e-05 eta: 1:07:16 time: 0.379118 data_time: 0.032125 memory: 4563 loss: 0.000470 loss_kpt: 0.000470 acc_pose: 0.926061 2023/08/10 01:48:11 - mmengine - INFO - Epoch(train) [175][230/327] lr: 5.000000e-05 eta: 1:07:12 time: 0.370734 data_time: 0.032580 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.949702 2023/08/10 01:48:14 - mmengine - INFO - Epoch(train) [175][240/327] lr: 5.000000e-05 eta: 1:07:09 time: 0.364292 data_time: 0.032619 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.935668 2023/08/10 01:48:18 - mmengine - INFO - Epoch(train) [175][250/327] lr: 5.000000e-05 eta: 1:07:05 time: 0.356765 data_time: 0.032198 memory: 4563 loss: 0.000481 loss_kpt: 0.000481 acc_pose: 0.982738 2023/08/10 01:48:21 - mmengine - INFO - Epoch(train) [175][260/327] lr: 5.000000e-05 eta: 1:07:02 time: 0.351379 data_time: 0.031909 memory: 4563 loss: 0.000488 loss_kpt: 0.000488 acc_pose: 0.863988 2023/08/10 01:48:25 - mmengine - INFO - Epoch(train) [175][270/327] lr: 5.000000e-05 eta: 1:06:58 time: 0.348439 data_time: 0.031390 memory: 4563 loss: 0.000476 loss_kpt: 0.000476 acc_pose: 0.930806 2023/08/10 01:48:29 - mmengine - INFO - Epoch(train) [175][280/327] lr: 5.000000e-05 eta: 1:06:55 time: 0.356593 data_time: 0.034256 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.960433 2023/08/10 01:48:32 - mmengine - INFO - Epoch(train) [175][290/327] lr: 5.000000e-05 eta: 1:06:52 time: 0.355935 data_time: 0.034264 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.933871 2023/08/10 01:48:36 - mmengine - INFO - Epoch(train) [175][300/327] lr: 5.000000e-05 eta: 1:06:48 time: 0.356669 data_time: 0.034630 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.983007 2023/08/10 01:48:39 - mmengine - INFO - Epoch(train) [175][310/327] lr: 5.000000e-05 eta: 1:06:45 time: 0.353999 data_time: 0.034648 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.896096 2023/08/10 01:48:42 - mmengine - INFO - Epoch(train) [175][320/327] lr: 5.000000e-05 eta: 1:06:41 time: 0.352035 data_time: 0.034570 memory: 4563 loss: 0.000483 loss_kpt: 0.000483 acc_pose: 0.941572 2023/08/10 01:48:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:48:48 - mmengine - INFO - Epoch(train) [176][ 10/327] lr: 5.000000e-05 eta: 1:06:35 time: 0.346925 data_time: 0.034170 memory: 4563 loss: 0.000481 loss_kpt: 0.000481 acc_pose: 0.951509 2023/08/10 01:48:52 - mmengine - INFO - Epoch(train) [176][ 20/327] lr: 5.000000e-05 eta: 1:06:32 time: 0.349227 data_time: 0.033884 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.971250 2023/08/10 01:48:55 - mmengine - INFO - Epoch(train) [176][ 30/327] lr: 5.000000e-05 eta: 1:06:28 time: 0.349511 data_time: 0.033808 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.921775 2023/08/10 01:48:59 - mmengine - INFO - Epoch(train) [176][ 40/327] lr: 5.000000e-05 eta: 1:06:25 time: 0.351405 data_time: 0.034027 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.897989 2023/08/10 01:49:02 - mmengine - INFO - Epoch(train) [176][ 50/327] lr: 5.000000e-05 eta: 1:06:21 time: 0.351222 data_time: 0.034708 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.968246 2023/08/10 01:49:06 - mmengine - INFO - Epoch(train) [176][ 60/327] lr: 5.000000e-05 eta: 1:06:18 time: 0.347940 data_time: 0.031521 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.836307 2023/08/10 01:49:09 - mmengine - INFO - Epoch(train) [176][ 70/327] lr: 5.000000e-05 eta: 1:06:14 time: 0.348661 data_time: 0.032271 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.922784 2023/08/10 01:49:13 - mmengine - INFO - Epoch(train) [176][ 80/327] lr: 5.000000e-05 eta: 1:06:11 time: 0.347714 data_time: 0.032381 memory: 4563 loss: 0.000483 loss_kpt: 0.000483 acc_pose: 0.952369 2023/08/10 01:49:17 - mmengine - INFO - Epoch(train) [176][ 90/327] lr: 5.000000e-05 eta: 1:06:07 time: 0.352671 data_time: 0.032742 memory: 4563 loss: 0.000484 loss_kpt: 0.000484 acc_pose: 0.938640 2023/08/10 01:49:20 - mmengine - INFO - Epoch(train) [176][100/327] lr: 5.000000e-05 eta: 1:06:04 time: 0.356190 data_time: 0.032803 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.922660 2023/08/10 01:49:24 - mmengine - INFO - Epoch(train) [176][110/327] lr: 5.000000e-05 eta: 1:06:00 time: 0.357253 data_time: 0.032705 memory: 4563 loss: 0.000476 loss_kpt: 0.000476 acc_pose: 0.949963 2023/08/10 01:49:28 - mmengine - INFO - Epoch(train) [176][120/327] lr: 5.000000e-05 eta: 1:05:57 time: 0.362143 data_time: 0.032588 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.943229 2023/08/10 01:49:31 - mmengine - INFO - Epoch(train) [176][130/327] lr: 5.000000e-05 eta: 1:05:53 time: 0.363971 data_time: 0.032926 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.970546 2023/08/10 01:49:35 - mmengine - INFO - Epoch(train) [176][140/327] lr: 5.000000e-05 eta: 1:05:50 time: 0.360670 data_time: 0.033138 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.950129 2023/08/10 01:49:38 - mmengine - INFO - Epoch(train) [176][150/327] lr: 5.000000e-05 eta: 1:05:46 time: 0.358016 data_time: 0.033145 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.949554 2023/08/10 01:49:42 - mmengine - INFO - Epoch(train) [176][160/327] lr: 5.000000e-05 eta: 1:05:43 time: 0.357838 data_time: 0.032976 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.925482 2023/08/10 01:49:45 - mmengine - INFO - Epoch(train) [176][170/327] lr: 5.000000e-05 eta: 1:05:39 time: 0.349940 data_time: 0.032712 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.974117 2023/08/10 01:49:49 - mmengine - INFO - Epoch(train) [176][180/327] lr: 5.000000e-05 eta: 1:05:36 time: 0.349681 data_time: 0.032579 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.964286 2023/08/10 01:49:52 - mmengine - INFO - Epoch(train) [176][190/327] lr: 5.000000e-05 eta: 1:05:32 time: 0.346182 data_time: 0.031734 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.925161 2023/08/10 01:49:55 - mmengine - INFO - Epoch(train) [176][200/327] lr: 5.000000e-05 eta: 1:05:29 time: 0.345012 data_time: 0.031365 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.929472 2023/08/10 01:49:59 - mmengine - INFO - Epoch(train) [176][210/327] lr: 5.000000e-05 eta: 1:05:25 time: 0.344144 data_time: 0.031584 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.945915 2023/08/10 01:50:03 - mmengine - INFO - Epoch(train) [176][220/327] lr: 5.000000e-05 eta: 1:05:22 time: 0.351298 data_time: 0.031725 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.911022 2023/08/10 01:50:06 - mmengine - INFO - Epoch(train) [176][230/327] lr: 5.000000e-05 eta: 1:05:18 time: 0.355970 data_time: 0.031805 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.972149 2023/08/10 01:50:10 - mmengine - INFO - Epoch(train) [176][240/327] lr: 5.000000e-05 eta: 1:05:15 time: 0.360636 data_time: 0.032034 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.939844 2023/08/10 01:50:14 - mmengine - INFO - Epoch(train) [176][250/327] lr: 5.000000e-05 eta: 1:05:11 time: 0.362939 data_time: 0.032446 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.935525 2023/08/10 01:50:17 - mmengine - INFO - Epoch(train) [176][260/327] lr: 5.000000e-05 eta: 1:05:08 time: 0.363982 data_time: 0.032299 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.968750 2023/08/10 01:50:20 - mmengine - INFO - Epoch(train) [176][270/327] lr: 5.000000e-05 eta: 1:05:04 time: 0.356702 data_time: 0.031763 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.955642 2023/08/10 01:50:24 - mmengine - INFO - Epoch(train) [176][280/327] lr: 5.000000e-05 eta: 1:05:01 time: 0.352674 data_time: 0.034229 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.958009 2023/08/10 01:50:27 - mmengine - INFO - Epoch(train) [176][290/327] lr: 5.000000e-05 eta: 1:04:57 time: 0.348019 data_time: 0.034046 memory: 4563 loss: 0.000467 loss_kpt: 0.000467 acc_pose: 0.912051 2023/08/10 01:50:31 - mmengine - INFO - Epoch(train) [176][300/327] lr: 5.000000e-05 eta: 1:04:54 time: 0.349213 data_time: 0.033929 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.950538 2023/08/10 01:50:34 - mmengine - INFO - Epoch(train) [176][310/327] lr: 5.000000e-05 eta: 1:04:50 time: 0.348745 data_time: 0.033676 memory: 4563 loss: 0.000471 loss_kpt: 0.000471 acc_pose: 0.941016 2023/08/10 01:50:38 - mmengine - INFO - Epoch(train) [176][320/327] lr: 5.000000e-05 eta: 1:04:47 time: 0.349507 data_time: 0.034155 memory: 4563 loss: 0.000477 loss_kpt: 0.000477 acc_pose: 0.922352 2023/08/10 01:50:40 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:50:44 - mmengine - INFO - Epoch(train) [177][ 10/327] lr: 5.000000e-05 eta: 1:04:41 time: 0.347269 data_time: 0.034102 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.846322 2023/08/10 01:50:47 - mmengine - INFO - Epoch(train) [177][ 20/327] lr: 5.000000e-05 eta: 1:04:37 time: 0.344341 data_time: 0.033766 memory: 4563 loss: 0.000480 loss_kpt: 0.000480 acc_pose: 0.930334 2023/08/10 01:50:51 - mmengine - INFO - Epoch(train) [177][ 30/327] lr: 5.000000e-05 eta: 1:04:34 time: 0.343124 data_time: 0.034004 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.925232 2023/08/10 01:50:54 - mmengine - INFO - Epoch(train) [177][ 40/327] lr: 5.000000e-05 eta: 1:04:30 time: 0.342216 data_time: 0.034345 memory: 4563 loss: 0.000472 loss_kpt: 0.000472 acc_pose: 0.942992 2023/08/10 01:50:57 - mmengine - INFO - Epoch(train) [177][ 50/327] lr: 5.000000e-05 eta: 1:04:27 time: 0.343174 data_time: 0.035347 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.957085 2023/08/10 01:51:01 - mmengine - INFO - Epoch(train) [177][ 60/327] lr: 5.000000e-05 eta: 1:04:23 time: 0.342067 data_time: 0.031717 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.947332 2023/08/10 01:51:04 - mmengine - INFO - Epoch(train) [177][ 70/327] lr: 5.000000e-05 eta: 1:04:20 time: 0.342391 data_time: 0.031849 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.949415 2023/08/10 01:51:08 - mmengine - INFO - Epoch(train) [177][ 80/327] lr: 5.000000e-05 eta: 1:04:16 time: 0.339247 data_time: 0.031706 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.949713 2023/08/10 01:51:11 - mmengine - INFO - Epoch(train) [177][ 90/327] lr: 5.000000e-05 eta: 1:04:13 time: 0.336842 data_time: 0.031103 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.914905 2023/08/10 01:51:15 - mmengine - INFO - Epoch(train) [177][100/327] lr: 5.000000e-05 eta: 1:04:09 time: 0.344368 data_time: 0.031986 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.946032 2023/08/10 01:51:18 - mmengine - INFO - Epoch(train) [177][110/327] lr: 5.000000e-05 eta: 1:04:06 time: 0.351130 data_time: 0.035183 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.964583 2023/08/10 01:51:22 - mmengine - INFO - Epoch(train) [177][120/327] lr: 5.000000e-05 eta: 1:04:03 time: 0.355024 data_time: 0.035104 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.975000 2023/08/10 01:51:26 - mmengine - INFO - Epoch(train) [177][130/327] lr: 5.000000e-05 eta: 1:03:59 time: 0.361520 data_time: 0.035131 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.974760 2023/08/10 01:51:29 - mmengine - INFO - Epoch(train) [177][140/327] lr: 5.000000e-05 eta: 1:03:56 time: 0.362124 data_time: 0.035050 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.971866 2023/08/10 01:51:32 - mmengine - INFO - Epoch(train) [177][150/327] lr: 5.000000e-05 eta: 1:03:52 time: 0.354030 data_time: 0.034208 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.974713 2023/08/10 01:51:36 - mmengine - INFO - Epoch(train) [177][160/327] lr: 5.000000e-05 eta: 1:03:48 time: 0.344062 data_time: 0.030582 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.914614 2023/08/10 01:51:39 - mmengine - INFO - Epoch(train) [177][170/327] lr: 5.000000e-05 eta: 1:03:45 time: 0.342772 data_time: 0.030858 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.935484 2023/08/10 01:51:43 - mmengine - INFO - Epoch(train) [177][180/327] lr: 5.000000e-05 eta: 1:03:41 time: 0.339600 data_time: 0.031029 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.920788 2023/08/10 01:51:46 - mmengine - INFO - Epoch(train) [177][190/327] lr: 5.000000e-05 eta: 1:03:38 time: 0.340324 data_time: 0.031587 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.902249 2023/08/10 01:51:49 - mmengine - INFO - Epoch(train) [177][200/327] lr: 5.000000e-05 eta: 1:03:34 time: 0.341217 data_time: 0.031830 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.932949 2023/08/10 01:51:53 - mmengine - INFO - Epoch(train) [177][210/327] lr: 5.000000e-05 eta: 1:03:31 time: 0.342505 data_time: 0.032590 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.966935 2023/08/10 01:51:56 - mmengine - INFO - Epoch(train) [177][220/327] lr: 5.000000e-05 eta: 1:03:27 time: 0.340213 data_time: 0.032352 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.929696 2023/08/10 01:51:59 - mmengine - INFO - Epoch(train) [177][230/327] lr: 5.000000e-05 eta: 1:03:24 time: 0.337213 data_time: 0.032003 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.899803 2023/08/10 01:52:03 - mmengine - INFO - Epoch(train) [177][240/327] lr: 5.000000e-05 eta: 1:03:20 time: 0.338473 data_time: 0.031500 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.948955 2023/08/10 01:52:07 - mmengine - INFO - Epoch(train) [177][250/327] lr: 5.000000e-05 eta: 1:03:17 time: 0.342417 data_time: 0.031375 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.871942 2023/08/10 01:52:10 - mmengine - INFO - Epoch(train) [177][260/327] lr: 5.000000e-05 eta: 1:03:13 time: 0.347023 data_time: 0.031489 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.958854 2023/08/10 01:52:14 - mmengine - INFO - Epoch(train) [177][270/327] lr: 5.000000e-05 eta: 1:03:10 time: 0.349422 data_time: 0.031598 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.931708 2023/08/10 01:52:17 - mmengine - INFO - Epoch(train) [177][280/327] lr: 5.000000e-05 eta: 1:03:06 time: 0.349972 data_time: 0.032799 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.901672 2023/08/10 01:52:21 - mmengine - INFO - Epoch(train) [177][290/327] lr: 5.000000e-05 eta: 1:03:03 time: 0.350873 data_time: 0.034012 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.965209 2023/08/10 01:52:24 - mmengine - INFO - Epoch(train) [177][300/327] lr: 5.000000e-05 eta: 1:02:59 time: 0.346375 data_time: 0.034797 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.934946 2023/08/10 01:52:27 - mmengine - INFO - Epoch(train) [177][310/327] lr: 5.000000e-05 eta: 1:02:56 time: 0.341427 data_time: 0.034791 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.948235 2023/08/10 01:52:31 - mmengine - INFO - Epoch(train) [177][320/327] lr: 5.000000e-05 eta: 1:02:52 time: 0.339585 data_time: 0.034790 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.955642 2023/08/10 01:52:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:52:37 - mmengine - INFO - Epoch(train) [178][ 10/327] lr: 5.000000e-05 eta: 1:02:46 time: 0.347372 data_time: 0.036730 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.940189 2023/08/10 01:52:41 - mmengine - INFO - Epoch(train) [178][ 20/327] lr: 5.000000e-05 eta: 1:02:43 time: 0.353477 data_time: 0.035768 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.975250 2023/08/10 01:52:44 - mmengine - INFO - Epoch(train) [178][ 30/327] lr: 5.000000e-05 eta: 1:02:40 time: 0.352530 data_time: 0.034748 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.915439 2023/08/10 01:52:47 - mmengine - INFO - Epoch(train) [178][ 40/327] lr: 5.000000e-05 eta: 1:02:36 time: 0.351498 data_time: 0.034441 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.982051 2023/08/10 01:52:51 - mmengine - INFO - Epoch(train) [178][ 50/327] lr: 5.000000e-05 eta: 1:02:32 time: 0.351573 data_time: 0.034835 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.950269 2023/08/10 01:52:54 - mmengine - INFO - Epoch(train) [178][ 60/327] lr: 5.000000e-05 eta: 1:02:29 time: 0.343677 data_time: 0.030835 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.896011 2023/08/10 01:52:57 - mmengine - INFO - Epoch(train) [178][ 70/327] lr: 5.000000e-05 eta: 1:02:25 time: 0.334942 data_time: 0.031166 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.946052 2023/08/10 01:53:01 - mmengine - INFO - Epoch(train) [178][ 80/327] lr: 5.000000e-05 eta: 1:02:22 time: 0.342017 data_time: 0.031952 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.920722 2023/08/10 01:53:04 - mmengine - INFO - Epoch(train) [178][ 90/327] lr: 5.000000e-05 eta: 1:02:18 time: 0.341310 data_time: 0.031767 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.966379 2023/08/10 01:53:08 - mmengine - INFO - Epoch(train) [178][100/327] lr: 5.000000e-05 eta: 1:02:15 time: 0.343192 data_time: 0.031703 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.942186 2023/08/10 01:53:11 - mmengine - INFO - Epoch(train) [178][110/327] lr: 5.000000e-05 eta: 1:02:11 time: 0.345086 data_time: 0.032033 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.931034 2023/08/10 01:53:15 - mmengine - INFO - Epoch(train) [178][120/327] lr: 5.000000e-05 eta: 1:02:08 time: 0.347567 data_time: 0.032278 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.966071 2023/08/10 01:53:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:53:18 - mmengine - INFO - Epoch(train) [178][130/327] lr: 5.000000e-05 eta: 1:02:04 time: 0.342403 data_time: 0.032176 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.941092 2023/08/10 01:53:22 - mmengine - INFO - Epoch(train) [178][140/327] lr: 5.000000e-05 eta: 1:02:01 time: 0.344445 data_time: 0.032389 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.984375 2023/08/10 01:53:25 - mmengine - INFO - Epoch(train) [178][150/327] lr: 5.000000e-05 eta: 1:01:57 time: 0.342873 data_time: 0.032794 memory: 4563 loss: 0.000467 loss_kpt: 0.000467 acc_pose: 0.966630 2023/08/10 01:53:28 - mmengine - INFO - Epoch(train) [178][160/327] lr: 5.000000e-05 eta: 1:01:54 time: 0.343323 data_time: 0.033046 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.974713 2023/08/10 01:53:32 - mmengine - INFO - Epoch(train) [178][170/327] lr: 5.000000e-05 eta: 1:01:50 time: 0.342825 data_time: 0.033004 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.971510 2023/08/10 01:53:35 - mmengine - INFO - Epoch(train) [178][180/327] lr: 5.000000e-05 eta: 1:01:47 time: 0.344543 data_time: 0.032950 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.975194 2023/08/10 01:53:39 - mmengine - INFO - Epoch(train) [178][190/327] lr: 5.000000e-05 eta: 1:01:43 time: 0.350222 data_time: 0.036155 memory: 4563 loss: 0.000459 loss_kpt: 0.000459 acc_pose: 0.952604 2023/08/10 01:53:42 - mmengine - INFO - Epoch(train) [178][200/327] lr: 5.000000e-05 eta: 1:01:40 time: 0.351140 data_time: 0.035908 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.935215 2023/08/10 01:53:46 - mmengine - INFO - Epoch(train) [178][210/327] lr: 5.000000e-05 eta: 1:01:36 time: 0.349464 data_time: 0.035293 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.931814 2023/08/10 01:53:49 - mmengine - INFO - Epoch(train) [178][220/327] lr: 5.000000e-05 eta: 1:01:33 time: 0.351405 data_time: 0.035903 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.948543 2023/08/10 01:53:53 - mmengine - INFO - Epoch(train) [178][230/327] lr: 5.000000e-05 eta: 1:01:29 time: 0.348201 data_time: 0.035316 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.893224 2023/08/10 01:53:56 - mmengine - INFO - Epoch(train) [178][240/327] lr: 5.000000e-05 eta: 1:01:26 time: 0.340635 data_time: 0.031914 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.873331 2023/08/10 01:54:00 - mmengine - INFO - Epoch(train) [178][250/327] lr: 5.000000e-05 eta: 1:01:22 time: 0.340870 data_time: 0.032002 memory: 4563 loss: 0.000465 loss_kpt: 0.000465 acc_pose: 0.927864 2023/08/10 01:54:03 - mmengine - INFO - Epoch(train) [178][260/327] lr: 5.000000e-05 eta: 1:01:19 time: 0.341418 data_time: 0.032290 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.939778 2023/08/10 01:54:06 - mmengine - INFO - Epoch(train) [178][270/327] lr: 5.000000e-05 eta: 1:01:15 time: 0.340137 data_time: 0.031353 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.912298 2023/08/10 01:54:10 - mmengine - INFO - Epoch(train) [178][280/327] lr: 5.000000e-05 eta: 1:01:12 time: 0.341553 data_time: 0.031674 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.957143 2023/08/10 01:54:13 - mmengine - INFO - Epoch(train) [178][290/327] lr: 5.000000e-05 eta: 1:01:08 time: 0.344349 data_time: 0.032766 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.921426 2023/08/10 01:54:17 - mmengine - INFO - Epoch(train) [178][300/327] lr: 5.000000e-05 eta: 1:01:05 time: 0.346411 data_time: 0.032572 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.916423 2023/08/10 01:54:20 - mmengine - INFO - Epoch(train) [178][310/327] lr: 5.000000e-05 eta: 1:01:01 time: 0.344697 data_time: 0.032265 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.949138 2023/08/10 01:54:24 - mmengine - INFO - Epoch(train) [178][320/327] lr: 5.000000e-05 eta: 1:00:58 time: 0.341642 data_time: 0.032221 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.891494 2023/08/10 01:54:26 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:54:30 - mmengine - INFO - Epoch(train) [179][ 10/327] lr: 5.000000e-05 eta: 1:00:52 time: 0.345335 data_time: 0.035048 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.991379 2023/08/10 01:54:33 - mmengine - INFO - Epoch(train) [179][ 20/327] lr: 5.000000e-05 eta: 1:00:48 time: 0.346605 data_time: 0.034849 memory: 4563 loss: 0.000469 loss_kpt: 0.000469 acc_pose: 0.956545 2023/08/10 01:54:37 - mmengine - INFO - Epoch(train) [179][ 30/327] lr: 5.000000e-05 eta: 1:00:45 time: 0.351421 data_time: 0.035219 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.913177 2023/08/10 01:54:40 - mmengine - INFO - Epoch(train) [179][ 40/327] lr: 5.000000e-05 eta: 1:00:42 time: 0.355369 data_time: 0.034971 memory: 4563 loss: 0.000465 loss_kpt: 0.000465 acc_pose: 0.944907 2023/08/10 01:54:44 - mmengine - INFO - Epoch(train) [179][ 50/327] lr: 5.000000e-05 eta: 1:00:38 time: 0.357515 data_time: 0.035287 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.941572 2023/08/10 01:54:47 - mmengine - INFO - Epoch(train) [179][ 60/327] lr: 5.000000e-05 eta: 1:00:35 time: 0.352062 data_time: 0.031106 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.943143 2023/08/10 01:54:51 - mmengine - INFO - Epoch(train) [179][ 70/327] lr: 5.000000e-05 eta: 1:00:31 time: 0.349470 data_time: 0.030941 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.949190 2023/08/10 01:54:54 - mmengine - INFO - Epoch(train) [179][ 80/327] lr: 5.000000e-05 eta: 1:00:28 time: 0.350376 data_time: 0.030940 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.894231 2023/08/10 01:54:58 - mmengine - INFO - Epoch(train) [179][ 90/327] lr: 5.000000e-05 eta: 1:00:24 time: 0.357346 data_time: 0.031768 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.937739 2023/08/10 01:55:02 - mmengine - INFO - Epoch(train) [179][100/327] lr: 5.000000e-05 eta: 1:00:21 time: 0.358273 data_time: 0.031945 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.983315 2023/08/10 01:55:05 - mmengine - INFO - Epoch(train) [179][110/327] lr: 5.000000e-05 eta: 1:00:17 time: 0.357446 data_time: 0.032024 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.967204 2023/08/10 01:55:08 - mmengine - INFO - Epoch(train) [179][120/327] lr: 5.000000e-05 eta: 1:00:14 time: 0.356696 data_time: 0.032033 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.966322 2023/08/10 01:55:12 - mmengine - INFO - Epoch(train) [179][130/327] lr: 5.000000e-05 eta: 1:00:10 time: 0.352025 data_time: 0.031797 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.962963 2023/08/10 01:55:15 - mmengine - INFO - Epoch(train) [179][140/327] lr: 5.000000e-05 eta: 1:00:07 time: 0.344054 data_time: 0.031337 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.931568 2023/08/10 01:55:19 - mmengine - INFO - Epoch(train) [179][150/327] lr: 5.000000e-05 eta: 1:00:03 time: 0.343713 data_time: 0.031404 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.909885 2023/08/10 01:55:22 - mmengine - INFO - Epoch(train) [179][160/327] lr: 5.000000e-05 eta: 1:00:00 time: 0.344589 data_time: 0.031383 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.948235 2023/08/10 01:55:26 - mmengine - INFO - Epoch(train) [179][170/327] lr: 5.000000e-05 eta: 0:59:56 time: 0.346663 data_time: 0.031647 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.916946 2023/08/10 01:55:29 - mmengine - INFO - Epoch(train) [179][180/327] lr: 5.000000e-05 eta: 0:59:53 time: 0.346641 data_time: 0.031521 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.982676 2023/08/10 01:55:33 - mmengine - INFO - Epoch(train) [179][190/327] lr: 5.000000e-05 eta: 0:59:49 time: 0.345328 data_time: 0.031221 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.936772 2023/08/10 01:55:36 - mmengine - INFO - Epoch(train) [179][200/327] lr: 5.000000e-05 eta: 0:59:46 time: 0.345844 data_time: 0.031072 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.915568 2023/08/10 01:55:40 - mmengine - INFO - Epoch(train) [179][210/327] lr: 5.000000e-05 eta: 0:59:42 time: 0.345772 data_time: 0.031344 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.949881 2023/08/10 01:55:43 - mmengine - INFO - Epoch(train) [179][220/327] lr: 5.000000e-05 eta: 0:59:39 time: 0.351002 data_time: 0.031369 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.890805 2023/08/10 01:55:47 - mmengine - INFO - Epoch(train) [179][230/327] lr: 5.000000e-05 eta: 0:59:35 time: 0.355471 data_time: 0.031680 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.948752 2023/08/10 01:55:50 - mmengine - INFO - Epoch(train) [179][240/327] lr: 5.000000e-05 eta: 0:59:32 time: 0.354378 data_time: 0.031723 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.907662 2023/08/10 01:55:54 - mmengine - INFO - Epoch(train) [179][250/327] lr: 5.000000e-05 eta: 0:59:28 time: 0.353064 data_time: 0.031794 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.955902 2023/08/10 01:55:57 - mmengine - INFO - Epoch(train) [179][260/327] lr: 5.000000e-05 eta: 0:59:25 time: 0.352178 data_time: 0.031523 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.974425 2023/08/10 01:56:01 - mmengine - INFO - Epoch(train) [179][270/327] lr: 5.000000e-05 eta: 0:59:21 time: 0.345348 data_time: 0.031536 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.950893 2023/08/10 01:56:04 - mmengine - INFO - Epoch(train) [179][280/327] lr: 5.000000e-05 eta: 0:59:18 time: 0.343466 data_time: 0.031915 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.904696 2023/08/10 01:56:08 - mmengine - INFO - Epoch(train) [179][290/327] lr: 5.000000e-05 eta: 0:59:14 time: 0.344273 data_time: 0.032218 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.890593 2023/08/10 01:56:11 - mmengine - INFO - Epoch(train) [179][300/327] lr: 5.000000e-05 eta: 0:59:11 time: 0.346503 data_time: 0.032647 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.912768 2023/08/10 01:56:15 - mmengine - INFO - Epoch(train) [179][310/327] lr: 5.000000e-05 eta: 0:59:07 time: 0.347927 data_time: 0.032874 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.933333 2023/08/10 01:56:18 - mmengine - INFO - Epoch(train) [179][320/327] lr: 5.000000e-05 eta: 0:59:04 time: 0.348491 data_time: 0.032605 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.991379 2023/08/10 01:56:20 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:56:24 - mmengine - INFO - Epoch(train) [180][ 10/327] lr: 5.000000e-05 eta: 0:58:58 time: 0.348627 data_time: 0.035323 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.911330 2023/08/10 01:56:28 - mmengine - INFO - Epoch(train) [180][ 20/327] lr: 5.000000e-05 eta: 0:58:54 time: 0.355729 data_time: 0.035415 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.982759 2023/08/10 01:56:31 - mmengine - INFO - Epoch(train) [180][ 30/327] lr: 5.000000e-05 eta: 0:58:51 time: 0.354934 data_time: 0.035136 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.949425 2023/08/10 01:56:35 - mmengine - INFO - Epoch(train) [180][ 40/327] lr: 5.000000e-05 eta: 0:58:47 time: 0.355420 data_time: 0.035310 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.974138 2023/08/10 01:56:38 - mmengine - INFO - Epoch(train) [180][ 50/327] lr: 5.000000e-05 eta: 0:58:44 time: 0.356488 data_time: 0.035733 memory: 4563 loss: 0.000461 loss_kpt: 0.000461 acc_pose: 0.950501 2023/08/10 01:56:42 - mmengine - INFO - Epoch(train) [180][ 60/327] lr: 5.000000e-05 eta: 0:58:40 time: 0.351591 data_time: 0.031535 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.919485 2023/08/10 01:56:45 - mmengine - INFO - Epoch(train) [180][ 70/327] lr: 5.000000e-05 eta: 0:58:37 time: 0.343602 data_time: 0.030995 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.948235 2023/08/10 01:56:49 - mmengine - INFO - Epoch(train) [180][ 80/327] lr: 5.000000e-05 eta: 0:58:33 time: 0.343516 data_time: 0.031396 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.966322 2023/08/10 01:56:52 - mmengine - INFO - Epoch(train) [180][ 90/327] lr: 5.000000e-05 eta: 0:58:30 time: 0.343648 data_time: 0.032138 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.933507 2023/08/10 01:56:56 - mmengine - INFO - Epoch(train) [180][100/327] lr: 5.000000e-05 eta: 0:58:26 time: 0.345175 data_time: 0.032949 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.924388 2023/08/10 01:56:59 - mmengine - INFO - Epoch(train) [180][110/327] lr: 5.000000e-05 eta: 0:58:23 time: 0.346959 data_time: 0.033477 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.981812 2023/08/10 01:57:03 - mmengine - INFO - Epoch(train) [180][120/327] lr: 5.000000e-05 eta: 0:58:19 time: 0.349390 data_time: 0.036691 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.934390 2023/08/10 01:57:06 - mmengine - INFO - Epoch(train) [180][130/327] lr: 5.000000e-05 eta: 0:58:16 time: 0.348003 data_time: 0.036214 memory: 4563 loss: 0.000478 loss_kpt: 0.000478 acc_pose: 0.953984 2023/08/10 01:57:09 - mmengine - INFO - Epoch(train) [180][140/327] lr: 5.000000e-05 eta: 0:58:12 time: 0.346360 data_time: 0.035319 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.939881 2023/08/10 01:57:13 - mmengine - INFO - Epoch(train) [180][150/327] lr: 5.000000e-05 eta: 0:58:09 time: 0.348668 data_time: 0.035364 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.991935 2023/08/10 01:57:16 - mmengine - INFO - Epoch(train) [180][160/327] lr: 5.000000e-05 eta: 0:58:05 time: 0.348130 data_time: 0.035039 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.966648 2023/08/10 01:57:20 - mmengine - INFO - Epoch(train) [180][170/327] lr: 5.000000e-05 eta: 0:58:02 time: 0.345904 data_time: 0.031958 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.904249 2023/08/10 01:57:23 - mmengine - INFO - Epoch(train) [180][180/327] lr: 5.000000e-05 eta: 0:57:58 time: 0.350216 data_time: 0.032613 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.920912 2023/08/10 01:57:27 - mmengine - INFO - Epoch(train) [180][190/327] lr: 5.000000e-05 eta: 0:57:55 time: 0.353773 data_time: 0.033339 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.948851 2023/08/10 01:57:31 - mmengine - INFO - Epoch(train) [180][200/327] lr: 5.000000e-05 eta: 0:57:51 time: 0.350501 data_time: 0.032475 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.955453 2023/08/10 01:57:34 - mmengine - INFO - Epoch(train) [180][210/327] lr: 5.000000e-05 eta: 0:57:48 time: 0.350842 data_time: 0.032288 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.908276 2023/08/10 01:57:37 - mmengine - INFO - Epoch(train) [180][220/327] lr: 5.000000e-05 eta: 0:57:44 time: 0.351977 data_time: 0.032153 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.930268 2023/08/10 01:57:41 - mmengine - INFO - Epoch(train) [180][230/327] lr: 5.000000e-05 eta: 0:57:41 time: 0.351241 data_time: 0.032028 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.974694 2023/08/10 01:57:45 - mmengine - INFO - Epoch(train) [180][240/327] lr: 5.000000e-05 eta: 0:57:37 time: 0.348970 data_time: 0.031816 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.953986 2023/08/10 01:57:48 - mmengine - INFO - Epoch(train) [180][250/327] lr: 5.000000e-05 eta: 0:57:34 time: 0.350432 data_time: 0.032272 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.951058 2023/08/10 01:57:51 - mmengine - INFO - Epoch(train) [180][260/327] lr: 5.000000e-05 eta: 0:57:30 time: 0.348798 data_time: 0.032227 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.948543 2023/08/10 01:57:55 - mmengine - INFO - Epoch(train) [180][270/327] lr: 5.000000e-05 eta: 0:57:27 time: 0.353382 data_time: 0.032687 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.966648 2023/08/10 01:57:59 - mmengine - INFO - Epoch(train) [180][280/327] lr: 5.000000e-05 eta: 0:57:23 time: 0.351233 data_time: 0.032145 memory: 4563 loss: 0.000475 loss_kpt: 0.000475 acc_pose: 0.948543 2023/08/10 01:58:02 - mmengine - INFO - Epoch(train) [180][290/327] lr: 5.000000e-05 eta: 0:57:20 time: 0.351320 data_time: 0.031921 memory: 4563 loss: 0.000486 loss_kpt: 0.000486 acc_pose: 0.932553 2023/08/10 01:58:06 - mmengine - INFO - Epoch(train) [180][300/327] lr: 5.000000e-05 eta: 0:57:16 time: 0.351389 data_time: 0.031567 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.947861 2023/08/10 01:58:09 - mmengine - INFO - Epoch(train) [180][310/327] lr: 5.000000e-05 eta: 0:57:13 time: 0.353537 data_time: 0.031750 memory: 4563 loss: 0.000484 loss_kpt: 0.000484 acc_pose: 0.926587 2023/08/10 01:58:13 - mmengine - INFO - Epoch(train) [180][320/327] lr: 5.000000e-05 eta: 0:57:09 time: 0.348704 data_time: 0.032052 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.872984 2023/08/10 01:58:15 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:58:15 - mmengine - INFO - Saving checkpoint at 180 epochs 2023/08/10 01:58:21 - mmengine - INFO - Epoch(val) [180][10/79] eta: 0:00:14 time: 0.195231 data_time: 0.012874 memory: 4563 2023/08/10 01:58:23 - mmengine - INFO - Epoch(val) [180][20/79] eta: 0:00:11 time: 0.195170 data_time: 0.012861 memory: 1634 2023/08/10 01:58:25 - mmengine - INFO - Epoch(val) [180][30/79] eta: 0:00:09 time: 0.195371 data_time: 0.012979 memory: 1634 2023/08/10 01:58:27 - mmengine - INFO - Epoch(val) [180][40/79] eta: 0:00:07 time: 0.195552 data_time: 0.013017 memory: 1634 2023/08/10 01:58:29 - mmengine - INFO - Epoch(val) [180][50/79] eta: 0:00:05 time: 0.197775 data_time: 0.013347 memory: 1634 2023/08/10 01:58:31 - mmengine - INFO - Epoch(val) [180][60/79] eta: 0:00:03 time: 0.195355 data_time: 0.011417 memory: 1634 2023/08/10 01:58:33 - mmengine - INFO - Epoch(val) [180][70/79] eta: 0:00:01 time: 0.195204 data_time: 0.011316 memory: 1634 2023/08/10 01:58:35 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 01:58:35 - mmengine - INFO - Evaluating AUC... 2023/08/10 01:58:35 - mmengine - INFO - Evaluating EPE... 2023/08/10 01:58:35 - mmengine - INFO - Epoch(val) [180][79/79] PCK: 0.980315 AUC: 0.761879 EPE: 8.534793 data_time: 0.012401 time: 0.194191 2023/08/10 01:58:35 - mmengine - INFO - The previous best checkpoint /root/mmpose/work_dirs/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192/best_AUC_epoch_120.pth is removed 2023/08/10 01:58:37 - mmengine - INFO - The best checkpoint with 0.7619 AUC at 180 epoch is saved to best_AUC_epoch_180.pth. 2023/08/10 01:58:45 - mmengine - INFO - Epoch(train) [181][ 10/327] lr: 5.000000e-05 eta: 0:57:04 time: 0.348937 data_time: 0.035093 memory: 4563 loss: 0.000482 loss_kpt: 0.000482 acc_pose: 0.924082 2023/08/10 01:58:48 - mmengine - INFO - Epoch(train) [181][ 20/327] lr: 5.000000e-05 eta: 0:57:00 time: 0.346749 data_time: 0.034989 memory: 4563 loss: 0.000487 loss_kpt: 0.000487 acc_pose: 0.965497 2023/08/10 01:58:51 - mmengine - INFO - Epoch(train) [181][ 30/327] lr: 5.000000e-05 eta: 0:56:57 time: 0.345780 data_time: 0.035287 memory: 4563 loss: 0.000485 loss_kpt: 0.000485 acc_pose: 0.958584 2023/08/10 01:58:55 - mmengine - INFO - Epoch(train) [181][ 40/327] lr: 5.000000e-05 eta: 0:56:53 time: 0.346049 data_time: 0.034845 memory: 4563 loss: 0.000488 loss_kpt: 0.000488 acc_pose: 0.957143 2023/08/10 01:58:58 - mmengine - INFO - Epoch(train) [181][ 50/327] lr: 5.000000e-05 eta: 0:56:50 time: 0.347769 data_time: 0.035721 memory: 4563 loss: 0.000465 loss_kpt: 0.000465 acc_pose: 0.973214 2023/08/10 01:59:02 - mmengine - INFO - Epoch(train) [181][ 60/327] lr: 5.000000e-05 eta: 0:56:46 time: 0.347013 data_time: 0.035228 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.932990 2023/08/10 01:59:05 - mmengine - INFO - Epoch(train) [181][ 70/327] lr: 5.000000e-05 eta: 0:56:43 time: 0.346536 data_time: 0.034991 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.892573 2023/08/10 01:59:09 - mmengine - INFO - Epoch(train) [181][ 80/327] lr: 5.000000e-05 eta: 0:56:39 time: 0.345307 data_time: 0.035022 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.951075 2023/08/10 01:59:12 - mmengine - INFO - Epoch(train) [181][ 90/327] lr: 5.000000e-05 eta: 0:56:35 time: 0.341642 data_time: 0.034754 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.983046 2023/08/10 01:59:16 - mmengine - INFO - Epoch(train) [181][100/327] lr: 5.000000e-05 eta: 0:56:32 time: 0.341212 data_time: 0.034055 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.956424 2023/08/10 01:59:19 - mmengine - INFO - Epoch(train) [181][110/327] lr: 5.000000e-05 eta: 0:56:28 time: 0.338733 data_time: 0.032226 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.954269 2023/08/10 01:59:22 - mmengine - INFO - Epoch(train) [181][120/327] lr: 5.000000e-05 eta: 0:56:25 time: 0.341739 data_time: 0.032811 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.945805 2023/08/10 01:59:26 - mmengine - INFO - Epoch(train) [181][130/327] lr: 5.000000e-05 eta: 0:56:21 time: 0.340211 data_time: 0.032523 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.972835 2023/08/10 01:59:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 01:59:29 - mmengine - INFO - Epoch(train) [181][140/327] lr: 5.000000e-05 eta: 0:56:18 time: 0.341060 data_time: 0.032549 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.938294 2023/08/10 01:59:33 - mmengine - INFO - Epoch(train) [181][150/327] lr: 5.000000e-05 eta: 0:56:14 time: 0.342772 data_time: 0.033120 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.952083 2023/08/10 01:59:36 - mmengine - INFO - Epoch(train) [181][160/327] lr: 5.000000e-05 eta: 0:56:11 time: 0.341597 data_time: 0.031759 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.925751 2023/08/10 01:59:39 - mmengine - INFO - Epoch(train) [181][170/327] lr: 5.000000e-05 eta: 0:56:07 time: 0.339431 data_time: 0.031374 memory: 4563 loss: 0.000459 loss_kpt: 0.000459 acc_pose: 0.946052 2023/08/10 01:59:43 - mmengine - INFO - Epoch(train) [181][180/327] lr: 5.000000e-05 eta: 0:56:04 time: 0.344119 data_time: 0.031648 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.966648 2023/08/10 01:59:46 - mmengine - INFO - Epoch(train) [181][190/327] lr: 5.000000e-05 eta: 0:56:00 time: 0.346839 data_time: 0.031714 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.953499 2023/08/10 01:59:50 - mmengine - INFO - Epoch(train) [181][200/327] lr: 5.000000e-05 eta: 0:55:57 time: 0.347279 data_time: 0.031402 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.846470 2023/08/10 01:59:54 - mmengine - INFO - Epoch(train) [181][210/327] lr: 5.000000e-05 eta: 0:55:53 time: 0.350153 data_time: 0.031474 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 1.000000 2023/08/10 01:59:57 - mmengine - INFO - Epoch(train) [181][220/327] lr: 5.000000e-05 eta: 0:55:50 time: 0.349128 data_time: 0.031135 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.947149 2023/08/10 02:00:01 - mmengine - INFO - Epoch(train) [181][230/327] lr: 5.000000e-05 eta: 0:55:46 time: 0.350358 data_time: 0.031105 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.953214 2023/08/10 02:00:04 - mmengine - INFO - Epoch(train) [181][240/327] lr: 5.000000e-05 eta: 0:55:43 time: 0.349816 data_time: 0.031496 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.928301 2023/08/10 02:00:07 - mmengine - INFO - Epoch(train) [181][250/327] lr: 5.000000e-05 eta: 0:55:39 time: 0.347904 data_time: 0.031237 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.992188 2023/08/10 02:00:11 - mmengine - INFO - Epoch(train) [181][260/327] lr: 5.000000e-05 eta: 0:55:36 time: 0.347796 data_time: 0.031560 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.943263 2023/08/10 02:00:14 - mmengine - INFO - Epoch(train) [181][270/327] lr: 5.000000e-05 eta: 0:55:32 time: 0.347847 data_time: 0.031822 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.982143 2023/08/10 02:00:18 - mmengine - INFO - Epoch(train) [181][280/327] lr: 5.000000e-05 eta: 0:55:29 time: 0.342284 data_time: 0.031460 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.965084 2023/08/10 02:00:21 - mmengine - INFO - Epoch(train) [181][290/327] lr: 5.000000e-05 eta: 0:55:25 time: 0.339369 data_time: 0.031092 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.922660 2023/08/10 02:00:24 - mmengine - INFO - Epoch(train) [181][300/327] lr: 5.000000e-05 eta: 0:55:22 time: 0.339424 data_time: 0.031029 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.938116 2023/08/10 02:00:28 - mmengine - INFO - Epoch(train) [181][310/327] lr: 5.000000e-05 eta: 0:55:18 time: 0.337046 data_time: 0.030852 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.956545 2023/08/10 02:00:31 - mmengine - INFO - Epoch(train) [181][320/327] lr: 5.000000e-05 eta: 0:55:15 time: 0.336362 data_time: 0.030700 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.925864 2023/08/10 02:00:33 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:00:37 - mmengine - INFO - Epoch(train) [182][ 10/327] lr: 5.000000e-05 eta: 0:55:09 time: 0.342483 data_time: 0.033871 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.949676 2023/08/10 02:00:41 - mmengine - INFO - Epoch(train) [182][ 20/327] lr: 5.000000e-05 eta: 0:55:05 time: 0.342826 data_time: 0.033781 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.919963 2023/08/10 02:00:44 - mmengine - INFO - Epoch(train) [182][ 30/327] lr: 5.000000e-05 eta: 0:55:02 time: 0.343965 data_time: 0.033867 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.965497 2023/08/10 02:00:48 - mmengine - INFO - Epoch(train) [182][ 40/327] lr: 5.000000e-05 eta: 0:54:59 time: 0.348906 data_time: 0.037107 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.981764 2023/08/10 02:00:51 - mmengine - INFO - Epoch(train) [182][ 50/327] lr: 5.000000e-05 eta: 0:54:55 time: 0.351536 data_time: 0.037620 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.958602 2023/08/10 02:00:55 - mmengine - INFO - Epoch(train) [182][ 60/327] lr: 5.000000e-05 eta: 0:54:52 time: 0.349528 data_time: 0.034056 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.967204 2023/08/10 02:00:58 - mmengine - INFO - Epoch(train) [182][ 70/327] lr: 5.000000e-05 eta: 0:54:48 time: 0.350948 data_time: 0.034438 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.948522 2023/08/10 02:01:02 - mmengine - INFO - Epoch(train) [182][ 80/327] lr: 5.000000e-05 eta: 0:54:45 time: 0.351476 data_time: 0.034621 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.954425 2023/08/10 02:01:05 - mmengine - INFO - Epoch(train) [182][ 90/327] lr: 5.000000e-05 eta: 0:54:41 time: 0.350250 data_time: 0.032002 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.950538 2023/08/10 02:01:09 - mmengine - INFO - Epoch(train) [182][100/327] lr: 5.000000e-05 eta: 0:54:38 time: 0.351848 data_time: 0.032224 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.965766 2023/08/10 02:01:12 - mmengine - INFO - Epoch(train) [182][110/327] lr: 5.000000e-05 eta: 0:54:34 time: 0.350703 data_time: 0.032283 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.975269 2023/08/10 02:01:16 - mmengine - INFO - Epoch(train) [182][120/327] lr: 5.000000e-05 eta: 0:54:31 time: 0.351184 data_time: 0.032262 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.889019 2023/08/10 02:01:19 - mmengine - INFO - Epoch(train) [182][130/327] lr: 5.000000e-05 eta: 0:54:27 time: 0.355172 data_time: 0.032025 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.921866 2023/08/10 02:01:23 - mmengine - INFO - Epoch(train) [182][140/327] lr: 5.000000e-05 eta: 0:54:24 time: 0.356876 data_time: 0.032161 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.933279 2023/08/10 02:01:26 - mmengine - INFO - Epoch(train) [182][150/327] lr: 5.000000e-05 eta: 0:54:20 time: 0.355001 data_time: 0.031729 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.932163 2023/08/10 02:01:30 - mmengine - INFO - Epoch(train) [182][160/327] lr: 5.000000e-05 eta: 0:54:17 time: 0.354185 data_time: 0.031544 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.953984 2023/08/10 02:01:33 - mmengine - INFO - Epoch(train) [182][170/327] lr: 5.000000e-05 eta: 0:54:13 time: 0.350994 data_time: 0.030934 memory: 4563 loss: 0.000465 loss_kpt: 0.000465 acc_pose: 0.875502 2023/08/10 02:01:37 - mmengine - INFO - Epoch(train) [182][180/327] lr: 5.000000e-05 eta: 0:54:10 time: 0.346796 data_time: 0.030906 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.982451 2023/08/10 02:01:40 - mmengine - INFO - Epoch(train) [182][190/327] lr: 5.000000e-05 eta: 0:54:06 time: 0.344607 data_time: 0.030328 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.942272 2023/08/10 02:01:44 - mmengine - INFO - Epoch(train) [182][200/327] lr: 5.000000e-05 eta: 0:54:03 time: 0.347971 data_time: 0.033584 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.947352 2023/08/10 02:01:47 - mmengine - INFO - Epoch(train) [182][210/327] lr: 5.000000e-05 eta: 0:53:59 time: 0.348281 data_time: 0.033832 memory: 4563 loss: 0.000467 loss_kpt: 0.000467 acc_pose: 0.958257 2023/08/10 02:01:51 - mmengine - INFO - Epoch(train) [182][220/327] lr: 5.000000e-05 eta: 0:53:56 time: 0.347966 data_time: 0.033984 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.930993 2023/08/10 02:01:54 - mmengine - INFO - Epoch(train) [182][230/327] lr: 5.000000e-05 eta: 0:53:52 time: 0.346967 data_time: 0.034051 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.939329 2023/08/10 02:01:58 - mmengine - INFO - Epoch(train) [182][240/327] lr: 5.000000e-05 eta: 0:53:49 time: 0.345577 data_time: 0.034095 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.974942 2023/08/10 02:02:01 - mmengine - INFO - Epoch(train) [182][250/327] lr: 5.000000e-05 eta: 0:53:45 time: 0.342343 data_time: 0.031066 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.925517 2023/08/10 02:02:05 - mmengine - INFO - Epoch(train) [182][260/327] lr: 5.000000e-05 eta: 0:53:42 time: 0.345172 data_time: 0.030983 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.980769 2023/08/10 02:02:08 - mmengine - INFO - Epoch(train) [182][270/327] lr: 5.000000e-05 eta: 0:53:38 time: 0.355293 data_time: 0.031271 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.991071 2023/08/10 02:02:12 - mmengine - INFO - Epoch(train) [182][280/327] lr: 5.000000e-05 eta: 0:53:35 time: 0.359803 data_time: 0.031765 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.949612 2023/08/10 02:02:16 - mmengine - INFO - Epoch(train) [182][290/327] lr: 5.000000e-05 eta: 0:53:31 time: 0.359821 data_time: 0.031657 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.928241 2023/08/10 02:02:19 - mmengine - INFO - Epoch(train) [182][300/327] lr: 5.000000e-05 eta: 0:53:28 time: 0.360469 data_time: 0.031671 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.937500 2023/08/10 02:02:22 - mmengine - INFO - Epoch(train) [182][310/327] lr: 5.000000e-05 eta: 0:53:24 time: 0.356738 data_time: 0.031540 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.952966 2023/08/10 02:02:26 - mmengine - INFO - Epoch(train) [182][320/327] lr: 5.000000e-05 eta: 0:53:21 time: 0.347329 data_time: 0.031363 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.975806 2023/08/10 02:02:28 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:02:32 - mmengine - INFO - Epoch(train) [183][ 10/327] lr: 5.000000e-05 eta: 0:53:15 time: 0.349242 data_time: 0.033328 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.917044 2023/08/10 02:02:36 - mmengine - INFO - Epoch(train) [183][ 20/327] lr: 5.000000e-05 eta: 0:53:11 time: 0.353011 data_time: 0.033613 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.940904 2023/08/10 02:02:39 - mmengine - INFO - Epoch(train) [183][ 30/327] lr: 5.000000e-05 eta: 0:53:08 time: 0.353534 data_time: 0.033366 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.947222 2023/08/10 02:02:43 - mmengine - INFO - Epoch(train) [183][ 40/327] lr: 5.000000e-05 eta: 0:53:04 time: 0.353774 data_time: 0.033423 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.903195 2023/08/10 02:02:46 - mmengine - INFO - Epoch(train) [183][ 50/327] lr: 5.000000e-05 eta: 0:53:01 time: 0.354649 data_time: 0.034323 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.914786 2023/08/10 02:02:50 - mmengine - INFO - Epoch(train) [183][ 60/327] lr: 5.000000e-05 eta: 0:52:57 time: 0.352395 data_time: 0.030845 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.943110 2023/08/10 02:02:53 - mmengine - INFO - Epoch(train) [183][ 70/327] lr: 5.000000e-05 eta: 0:52:54 time: 0.349827 data_time: 0.031031 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.939306 2023/08/10 02:02:57 - mmengine - INFO - Epoch(train) [183][ 80/327] lr: 5.000000e-05 eta: 0:52:50 time: 0.352999 data_time: 0.031646 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.983567 2023/08/10 02:03:00 - mmengine - INFO - Epoch(train) [183][ 90/327] lr: 5.000000e-05 eta: 0:52:47 time: 0.354490 data_time: 0.031984 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.936638 2023/08/10 02:03:04 - mmengine - INFO - Epoch(train) [183][100/327] lr: 5.000000e-05 eta: 0:52:43 time: 0.354645 data_time: 0.031966 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.982759 2023/08/10 02:03:07 - mmengine - INFO - Epoch(train) [183][110/327] lr: 5.000000e-05 eta: 0:52:40 time: 0.352167 data_time: 0.031745 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.930622 2023/08/10 02:03:11 - mmengine - INFO - Epoch(train) [183][120/327] lr: 5.000000e-05 eta: 0:52:36 time: 0.351654 data_time: 0.031571 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.991071 2023/08/10 02:03:14 - mmengine - INFO - Epoch(train) [183][130/327] lr: 5.000000e-05 eta: 0:52:33 time: 0.348643 data_time: 0.031577 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.964815 2023/08/10 02:03:18 - mmengine - INFO - Epoch(train) [183][140/327] lr: 5.000000e-05 eta: 0:52:29 time: 0.348951 data_time: 0.031435 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.973830 2023/08/10 02:03:21 - mmengine - INFO - Epoch(train) [183][150/327] lr: 5.000000e-05 eta: 0:52:26 time: 0.350017 data_time: 0.031866 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.945026 2023/08/10 02:03:25 - mmengine - INFO - Epoch(train) [183][160/327] lr: 5.000000e-05 eta: 0:52:23 time: 0.353363 data_time: 0.035466 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.922288 2023/08/10 02:03:29 - mmengine - INFO - Epoch(train) [183][170/327] lr: 5.000000e-05 eta: 0:52:19 time: 0.359441 data_time: 0.035813 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.904116 2023/08/10 02:03:32 - mmengine - INFO - Epoch(train) [183][180/327] lr: 5.000000e-05 eta: 0:52:16 time: 0.363111 data_time: 0.036109 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.906761 2023/08/10 02:03:36 - mmengine - INFO - Epoch(train) [183][190/327] lr: 5.000000e-05 eta: 0:52:12 time: 0.364765 data_time: 0.036373 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.982451 2023/08/10 02:03:39 - mmengine - INFO - Epoch(train) [183][200/327] lr: 5.000000e-05 eta: 0:52:09 time: 0.362509 data_time: 0.036708 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.942204 2023/08/10 02:03:43 - mmengine - INFO - Epoch(train) [183][210/327] lr: 5.000000e-05 eta: 0:52:05 time: 0.356604 data_time: 0.033732 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.975806 2023/08/10 02:03:46 - mmengine - INFO - Epoch(train) [183][220/327] lr: 5.000000e-05 eta: 0:52:02 time: 0.353588 data_time: 0.033848 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.931034 2023/08/10 02:03:50 - mmengine - INFO - Epoch(train) [183][230/327] lr: 5.000000e-05 eta: 0:51:58 time: 0.351042 data_time: 0.032959 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.919552 2023/08/10 02:03:53 - mmengine - INFO - Epoch(train) [183][240/327] lr: 5.000000e-05 eta: 0:51:55 time: 0.346769 data_time: 0.032554 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.946286 2023/08/10 02:03:57 - mmengine - INFO - Epoch(train) [183][250/327] lr: 5.000000e-05 eta: 0:51:51 time: 0.344809 data_time: 0.031863 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.939039 2023/08/10 02:04:00 - mmengine - INFO - Epoch(train) [183][260/327] lr: 5.000000e-05 eta: 0:51:48 time: 0.344375 data_time: 0.031264 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.956176 2023/08/10 02:04:04 - mmengine - INFO - Epoch(train) [183][270/327] lr: 5.000000e-05 eta: 0:51:44 time: 0.345382 data_time: 0.031389 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.893030 2023/08/10 02:04:07 - mmengine - INFO - Epoch(train) [183][280/327] lr: 5.000000e-05 eta: 0:51:41 time: 0.341730 data_time: 0.031512 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.976310 2023/08/10 02:04:11 - mmengine - INFO - Epoch(train) [183][290/327] lr: 5.000000e-05 eta: 0:51:37 time: 0.345560 data_time: 0.032025 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.937051 2023/08/10 02:04:14 - mmengine - INFO - Epoch(train) [183][300/327] lr: 5.000000e-05 eta: 0:51:34 time: 0.345959 data_time: 0.031997 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.930973 2023/08/10 02:04:17 - mmengine - INFO - Epoch(train) [183][310/327] lr: 5.000000e-05 eta: 0:51:30 time: 0.345118 data_time: 0.031895 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.967742 2023/08/10 02:04:21 - mmengine - INFO - Epoch(train) [183][320/327] lr: 5.000000e-05 eta: 0:51:27 time: 0.337909 data_time: 0.031130 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.956876 2023/08/10 02:04:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:04:27 - mmengine - INFO - Epoch(train) [184][ 10/327] lr: 5.000000e-05 eta: 0:51:21 time: 0.338109 data_time: 0.034420 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.957412 2023/08/10 02:04:30 - mmengine - INFO - Epoch(train) [184][ 20/327] lr: 5.000000e-05 eta: 0:51:17 time: 0.340119 data_time: 0.034549 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.894089 2023/08/10 02:04:34 - mmengine - INFO - Epoch(train) [184][ 30/327] lr: 5.000000e-05 eta: 0:51:14 time: 0.346212 data_time: 0.034686 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.933565 2023/08/10 02:04:37 - mmengine - INFO - Epoch(train) [184][ 40/327] lr: 5.000000e-05 eta: 0:51:10 time: 0.347809 data_time: 0.034940 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.916580 2023/08/10 02:04:41 - mmengine - INFO - Epoch(train) [184][ 50/327] lr: 5.000000e-05 eta: 0:51:07 time: 0.351959 data_time: 0.035513 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.965805 2023/08/10 02:04:44 - mmengine - INFO - Epoch(train) [184][ 60/327] lr: 5.000000e-05 eta: 0:51:03 time: 0.349002 data_time: 0.031633 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.889425 2023/08/10 02:04:48 - mmengine - INFO - Epoch(train) [184][ 70/327] lr: 5.000000e-05 eta: 0:51:00 time: 0.349945 data_time: 0.031609 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.950818 2023/08/10 02:04:51 - mmengine - INFO - Epoch(train) [184][ 80/327] lr: 5.000000e-05 eta: 0:50:56 time: 0.346614 data_time: 0.031937 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.941278 2023/08/10 02:04:54 - mmengine - INFO - Epoch(train) [184][ 90/327] lr: 5.000000e-05 eta: 0:50:53 time: 0.346735 data_time: 0.031767 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.939523 2023/08/10 02:04:58 - mmengine - INFO - Epoch(train) [184][100/327] lr: 5.000000e-05 eta: 0:50:49 time: 0.348571 data_time: 0.031982 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.981812 2023/08/10 02:05:02 - mmengine - INFO - Epoch(train) [184][110/327] lr: 5.000000e-05 eta: 0:50:46 time: 0.350718 data_time: 0.035021 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.934058 2023/08/10 02:05:05 - mmengine - INFO - Epoch(train) [184][120/327] lr: 5.000000e-05 eta: 0:50:42 time: 0.349128 data_time: 0.035239 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.939655 2023/08/10 02:05:08 - mmengine - INFO - Epoch(train) [184][130/327] lr: 5.000000e-05 eta: 0:50:39 time: 0.347829 data_time: 0.034660 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.946833 2023/08/10 02:05:12 - mmengine - INFO - Epoch(train) [184][140/327] lr: 5.000000e-05 eta: 0:50:35 time: 0.348405 data_time: 0.034790 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.938626 2023/08/10 02:05:15 - mmengine - INFO - Epoch(train) [184][150/327] lr: 5.000000e-05 eta: 0:50:32 time: 0.349863 data_time: 0.034999 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.865012 2023/08/10 02:05:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:05:19 - mmengine - INFO - Epoch(train) [184][160/327] lr: 5.000000e-05 eta: 0:50:28 time: 0.347233 data_time: 0.032056 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.916917 2023/08/10 02:05:22 - mmengine - INFO - Epoch(train) [184][170/327] lr: 5.000000e-05 eta: 0:50:25 time: 0.347723 data_time: 0.031989 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.959409 2023/08/10 02:05:26 - mmengine - INFO - Epoch(train) [184][180/327] lr: 5.000000e-05 eta: 0:50:21 time: 0.348847 data_time: 0.032151 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.948276 2023/08/10 02:05:29 - mmengine - INFO - Epoch(train) [184][190/327] lr: 5.000000e-05 eta: 0:50:18 time: 0.349334 data_time: 0.032517 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.965497 2023/08/10 02:05:33 - mmengine - INFO - Epoch(train) [184][200/327] lr: 5.000000e-05 eta: 0:50:14 time: 0.348477 data_time: 0.032405 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.947135 2023/08/10 02:05:37 - mmengine - INFO - Epoch(train) [184][210/327] lr: 5.000000e-05 eta: 0:50:11 time: 0.351680 data_time: 0.032571 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.955805 2023/08/10 02:05:40 - mmengine - INFO - Epoch(train) [184][220/327] lr: 5.000000e-05 eta: 0:50:07 time: 0.356745 data_time: 0.032627 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.942167 2023/08/10 02:05:44 - mmengine - INFO - Epoch(train) [184][230/327] lr: 5.000000e-05 eta: 0:50:04 time: 0.363820 data_time: 0.032531 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.948522 2023/08/10 02:05:47 - mmengine - INFO - Epoch(train) [184][240/327] lr: 5.000000e-05 eta: 0:50:00 time: 0.363694 data_time: 0.032122 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.914872 2023/08/10 02:05:51 - mmengine - INFO - Epoch(train) [184][250/327] lr: 5.000000e-05 eta: 0:49:57 time: 0.360223 data_time: 0.031430 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.974074 2023/08/10 02:05:54 - mmengine - INFO - Epoch(train) [184][260/327] lr: 5.000000e-05 eta: 0:49:53 time: 0.359351 data_time: 0.033763 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.991935 2023/08/10 02:05:58 - mmengine - INFO - Epoch(train) [184][270/327] lr: 5.000000e-05 eta: 0:49:50 time: 0.353914 data_time: 0.033450 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.984123 2023/08/10 02:06:02 - mmengine - INFO - Epoch(train) [184][280/327] lr: 5.000000e-05 eta: 0:49:46 time: 0.352288 data_time: 0.034238 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.966648 2023/08/10 02:06:05 - mmengine - INFO - Epoch(train) [184][290/327] lr: 5.000000e-05 eta: 0:49:43 time: 0.352265 data_time: 0.034181 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.914655 2023/08/10 02:06:09 - mmengine - INFO - Epoch(train) [184][300/327] lr: 5.000000e-05 eta: 0:49:39 time: 0.356723 data_time: 0.034657 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.920542 2023/08/10 02:06:12 - mmengine - INFO - Epoch(train) [184][310/327] lr: 5.000000e-05 eta: 0:49:36 time: 0.355639 data_time: 0.032121 memory: 4563 loss: 0.000474 loss_kpt: 0.000474 acc_pose: 0.965166 2023/08/10 02:06:16 - mmengine - INFO - Epoch(train) [184][320/327] lr: 5.000000e-05 eta: 0:49:32 time: 0.355286 data_time: 0.032461 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.929762 2023/08/10 02:06:18 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:06:22 - mmengine - INFO - Epoch(train) [185][ 10/327] lr: 5.000000e-05 eta: 0:49:26 time: 0.351776 data_time: 0.034043 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.950501 2023/08/10 02:06:25 - mmengine - INFO - Epoch(train) [185][ 20/327] lr: 5.000000e-05 eta: 0:49:23 time: 0.350762 data_time: 0.034038 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.933584 2023/08/10 02:06:29 - mmengine - INFO - Epoch(train) [185][ 30/327] lr: 5.000000e-05 eta: 0:49:19 time: 0.346410 data_time: 0.033720 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.962759 2023/08/10 02:06:32 - mmengine - INFO - Epoch(train) [185][ 40/327] lr: 5.000000e-05 eta: 0:49:16 time: 0.347124 data_time: 0.034102 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.943280 2023/08/10 02:06:35 - mmengine - INFO - Epoch(train) [185][ 50/327] lr: 5.000000e-05 eta: 0:49:12 time: 0.349484 data_time: 0.034956 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.968750 2023/08/10 02:06:39 - mmengine - INFO - Epoch(train) [185][ 60/327] lr: 5.000000e-05 eta: 0:49:09 time: 0.345999 data_time: 0.031338 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.946958 2023/08/10 02:06:42 - mmengine - INFO - Epoch(train) [185][ 70/327] lr: 5.000000e-05 eta: 0:49:06 time: 0.347213 data_time: 0.031281 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.940352 2023/08/10 02:06:46 - mmengine - INFO - Epoch(train) [185][ 80/327] lr: 5.000000e-05 eta: 0:49:02 time: 0.345243 data_time: 0.031282 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.964879 2023/08/10 02:06:49 - mmengine - INFO - Epoch(train) [185][ 90/327] lr: 5.000000e-05 eta: 0:48:58 time: 0.346118 data_time: 0.030903 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.923722 2023/08/10 02:06:53 - mmengine - INFO - Epoch(train) [185][100/327] lr: 5.000000e-05 eta: 0:48:55 time: 0.349091 data_time: 0.031197 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.905303 2023/08/10 02:06:57 - mmengine - INFO - Epoch(train) [185][110/327] lr: 5.000000e-05 eta: 0:48:52 time: 0.354352 data_time: 0.034991 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.950269 2023/08/10 02:07:00 - mmengine - INFO - Epoch(train) [185][120/327] lr: 5.000000e-05 eta: 0:48:48 time: 0.353408 data_time: 0.035340 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.976058 2023/08/10 02:07:04 - mmengine - INFO - Epoch(train) [185][130/327] lr: 5.000000e-05 eta: 0:48:45 time: 0.356308 data_time: 0.036402 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.947637 2023/08/10 02:07:07 - mmengine - INFO - Epoch(train) [185][140/327] lr: 5.000000e-05 eta: 0:48:41 time: 0.357460 data_time: 0.036804 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.949198 2023/08/10 02:07:11 - mmengine - INFO - Epoch(train) [185][150/327] lr: 5.000000e-05 eta: 0:48:38 time: 0.354706 data_time: 0.036622 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.974405 2023/08/10 02:07:14 - mmengine - INFO - Epoch(train) [185][160/327] lr: 5.000000e-05 eta: 0:48:34 time: 0.348781 data_time: 0.033734 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.966092 2023/08/10 02:07:18 - mmengine - INFO - Epoch(train) [185][170/327] lr: 5.000000e-05 eta: 0:48:31 time: 0.349865 data_time: 0.033949 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.905915 2023/08/10 02:07:21 - mmengine - INFO - Epoch(train) [185][180/327] lr: 5.000000e-05 eta: 0:48:27 time: 0.348686 data_time: 0.033099 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.929078 2023/08/10 02:07:25 - mmengine - INFO - Epoch(train) [185][190/327] lr: 5.000000e-05 eta: 0:48:24 time: 0.345584 data_time: 0.032518 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.912103 2023/08/10 02:07:28 - mmengine - INFO - Epoch(train) [185][200/327] lr: 5.000000e-05 eta: 0:48:20 time: 0.344832 data_time: 0.032361 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.944297 2023/08/10 02:07:31 - mmengine - INFO - Epoch(train) [185][210/327] lr: 5.000000e-05 eta: 0:48:17 time: 0.342317 data_time: 0.031561 memory: 4563 loss: 0.000464 loss_kpt: 0.000464 acc_pose: 0.983315 2023/08/10 02:07:35 - mmengine - INFO - Epoch(train) [185][220/327] lr: 5.000000e-05 eta: 0:48:13 time: 0.343587 data_time: 0.031400 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.975538 2023/08/10 02:07:39 - mmengine - INFO - Epoch(train) [185][230/327] lr: 5.000000e-05 eta: 0:48:10 time: 0.352602 data_time: 0.031522 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.955665 2023/08/10 02:07:43 - mmengine - INFO - Epoch(train) [185][240/327] lr: 5.000000e-05 eta: 0:48:06 time: 0.360154 data_time: 0.031859 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.935750 2023/08/10 02:07:46 - mmengine - INFO - Epoch(train) [185][250/327] lr: 5.000000e-05 eta: 0:48:03 time: 0.362547 data_time: 0.032107 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.918545 2023/08/10 02:07:50 - mmengine - INFO - Epoch(train) [185][260/327] lr: 5.000000e-05 eta: 0:47:59 time: 0.364838 data_time: 0.032250 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.964240 2023/08/10 02:07:53 - mmengine - INFO - Epoch(train) [185][270/327] lr: 5.000000e-05 eta: 0:47:56 time: 0.362327 data_time: 0.031866 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.966092 2023/08/10 02:07:56 - mmengine - INFO - Epoch(train) [185][280/327] lr: 5.000000e-05 eta: 0:47:52 time: 0.352340 data_time: 0.031385 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.964815 2023/08/10 02:08:00 - mmengine - INFO - Epoch(train) [185][290/327] lr: 5.000000e-05 eta: 0:47:49 time: 0.345469 data_time: 0.031473 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.949099 2023/08/10 02:08:03 - mmengine - INFO - Epoch(train) [185][300/327] lr: 5.000000e-05 eta: 0:47:45 time: 0.347482 data_time: 0.031724 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.915380 2023/08/10 02:08:07 - mmengine - INFO - Epoch(train) [185][310/327] lr: 5.000000e-05 eta: 0:47:42 time: 0.347784 data_time: 0.031672 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.924237 2023/08/10 02:08:11 - mmengine - INFO - Epoch(train) [185][320/327] lr: 5.000000e-05 eta: 0:47:38 time: 0.352083 data_time: 0.031934 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.938813 2023/08/10 02:08:13 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:08:17 - mmengine - INFO - Epoch(train) [186][ 10/327] lr: 5.000000e-05 eta: 0:47:32 time: 0.354381 data_time: 0.036188 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.939286 2023/08/10 02:08:20 - mmengine - INFO - Epoch(train) [186][ 20/327] lr: 5.000000e-05 eta: 0:47:29 time: 0.355138 data_time: 0.035509 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.975000 2023/08/10 02:08:24 - mmengine - INFO - Epoch(train) [186][ 30/327] lr: 5.000000e-05 eta: 0:47:25 time: 0.354634 data_time: 0.035585 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.982120 2023/08/10 02:08:27 - mmengine - INFO - Epoch(train) [186][ 40/327] lr: 5.000000e-05 eta: 0:47:22 time: 0.355983 data_time: 0.038551 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.990741 2023/08/10 02:08:31 - mmengine - INFO - Epoch(train) [186][ 50/327] lr: 5.000000e-05 eta: 0:47:18 time: 0.353696 data_time: 0.039130 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.958584 2023/08/10 02:08:34 - mmengine - INFO - Epoch(train) [186][ 60/327] lr: 5.000000e-05 eta: 0:47:15 time: 0.352032 data_time: 0.034377 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.967994 2023/08/10 02:08:38 - mmengine - INFO - Epoch(train) [186][ 70/327] lr: 5.000000e-05 eta: 0:47:11 time: 0.348204 data_time: 0.034333 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.940476 2023/08/10 02:08:41 - mmengine - INFO - Epoch(train) [186][ 80/327] lr: 5.000000e-05 eta: 0:47:08 time: 0.344336 data_time: 0.034110 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.973830 2023/08/10 02:08:44 - mmengine - INFO - Epoch(train) [186][ 90/327] lr: 5.000000e-05 eta: 0:47:04 time: 0.337816 data_time: 0.030782 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.940460 2023/08/10 02:08:48 - mmengine - INFO - Epoch(train) [186][100/327] lr: 5.000000e-05 eta: 0:47:01 time: 0.336525 data_time: 0.030503 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.926344 2023/08/10 02:08:51 - mmengine - INFO - Epoch(train) [186][110/327] lr: 5.000000e-05 eta: 0:46:57 time: 0.336182 data_time: 0.030734 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.955573 2023/08/10 02:08:55 - mmengine - INFO - Epoch(train) [186][120/327] lr: 5.000000e-05 eta: 0:46:54 time: 0.339524 data_time: 0.031128 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.955195 2023/08/10 02:08:58 - mmengine - INFO - Epoch(train) [186][130/327] lr: 5.000000e-05 eta: 0:46:50 time: 0.341340 data_time: 0.031335 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.920940 2023/08/10 02:09:01 - mmengine - INFO - Epoch(train) [186][140/327] lr: 5.000000e-05 eta: 0:46:47 time: 0.341259 data_time: 0.031404 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.925232 2023/08/10 02:09:05 - mmengine - INFO - Epoch(train) [186][150/327] lr: 5.000000e-05 eta: 0:46:43 time: 0.340790 data_time: 0.031337 memory: 4563 loss: 0.000470 loss_kpt: 0.000470 acc_pose: 0.918383 2023/08/10 02:09:08 - mmengine - INFO - Epoch(train) [186][160/327] lr: 5.000000e-05 eta: 0:46:40 time: 0.337971 data_time: 0.031100 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.935971 2023/08/10 02:09:11 - mmengine - INFO - Epoch(train) [186][170/327] lr: 5.000000e-05 eta: 0:46:36 time: 0.334580 data_time: 0.030640 memory: 4563 loss: 0.000473 loss_kpt: 0.000473 acc_pose: 0.924711 2023/08/10 02:09:15 - mmengine - INFO - Epoch(train) [186][180/327] lr: 5.000000e-05 eta: 0:46:33 time: 0.335988 data_time: 0.030505 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.981812 2023/08/10 02:09:18 - mmengine - INFO - Epoch(train) [186][190/327] lr: 5.000000e-05 eta: 0:46:29 time: 0.337004 data_time: 0.030362 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.956217 2023/08/10 02:09:22 - mmengine - INFO - Epoch(train) [186][200/327] lr: 5.000000e-05 eta: 0:46:26 time: 0.339364 data_time: 0.030759 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.991071 2023/08/10 02:09:25 - mmengine - INFO - Epoch(train) [186][210/327] lr: 5.000000e-05 eta: 0:46:22 time: 0.340161 data_time: 0.030732 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.948214 2023/08/10 02:09:28 - mmengine - INFO - Epoch(train) [186][220/327] lr: 5.000000e-05 eta: 0:46:19 time: 0.343134 data_time: 0.030827 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.953205 2023/08/10 02:09:32 - mmengine - INFO - Epoch(train) [186][230/327] lr: 5.000000e-05 eta: 0:46:15 time: 0.338912 data_time: 0.030649 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.912562 2023/08/10 02:09:35 - mmengine - INFO - Epoch(train) [186][240/327] lr: 5.000000e-05 eta: 0:46:12 time: 0.338712 data_time: 0.030754 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.940230 2023/08/10 02:09:39 - mmengine - INFO - Epoch(train) [186][250/327] lr: 5.000000e-05 eta: 0:46:08 time: 0.340926 data_time: 0.030709 memory: 4563 loss: 0.000460 loss_kpt: 0.000460 acc_pose: 0.958333 2023/08/10 02:09:42 - mmengine - INFO - Epoch(train) [186][260/327] lr: 5.000000e-05 eta: 0:46:05 time: 0.343232 data_time: 0.033548 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.917381 2023/08/10 02:09:46 - mmengine - INFO - Epoch(train) [186][270/327] lr: 5.000000e-05 eta: 0:46:01 time: 0.341541 data_time: 0.033863 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.931589 2023/08/10 02:09:49 - mmengine - INFO - Epoch(train) [186][280/327] lr: 5.000000e-05 eta: 0:45:58 time: 0.342055 data_time: 0.034064 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 1.000000 2023/08/10 02:09:52 - mmengine - INFO - Epoch(train) [186][290/327] lr: 5.000000e-05 eta: 0:45:54 time: 0.341256 data_time: 0.034041 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.991935 2023/08/10 02:09:56 - mmengine - INFO - Epoch(train) [186][300/327] lr: 5.000000e-05 eta: 0:45:51 time: 0.338680 data_time: 0.034423 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.936793 2023/08/10 02:09:59 - mmengine - INFO - Epoch(train) [186][310/327] lr: 5.000000e-05 eta: 0:45:47 time: 0.341205 data_time: 0.035187 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.929696 2023/08/10 02:10:03 - mmengine - INFO - Epoch(train) [186][320/327] lr: 5.000000e-05 eta: 0:45:44 time: 0.346274 data_time: 0.035151 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.958044 2023/08/10 02:10:05 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:10:09 - mmengine - INFO - Epoch(train) [187][ 10/327] lr: 5.000000e-05 eta: 0:45:38 time: 0.353312 data_time: 0.039176 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.887097 2023/08/10 02:10:12 - mmengine - INFO - Epoch(train) [187][ 20/327] lr: 5.000000e-05 eta: 0:45:34 time: 0.354269 data_time: 0.038791 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.922065 2023/08/10 02:10:16 - mmengine - INFO - Epoch(train) [187][ 30/327] lr: 5.000000e-05 eta: 0:45:31 time: 0.351500 data_time: 0.035227 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.948276 2023/08/10 02:10:19 - mmengine - INFO - Epoch(train) [187][ 40/327] lr: 5.000000e-05 eta: 0:45:27 time: 0.348974 data_time: 0.035633 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.935684 2023/08/10 02:10:23 - mmengine - INFO - Epoch(train) [187][ 50/327] lr: 5.000000e-05 eta: 0:45:24 time: 0.352687 data_time: 0.036675 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.939103 2023/08/10 02:10:26 - mmengine - INFO - Epoch(train) [187][ 60/327] lr: 5.000000e-05 eta: 0:45:20 time: 0.348046 data_time: 0.033089 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.973522 2023/08/10 02:10:30 - mmengine - INFO - Epoch(train) [187][ 70/327] lr: 5.000000e-05 eta: 0:45:17 time: 0.348046 data_time: 0.033245 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.964740 2023/08/10 02:10:33 - mmengine - INFO - Epoch(train) [187][ 80/327] lr: 5.000000e-05 eta: 0:45:13 time: 0.348305 data_time: 0.033211 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.946360 2023/08/10 02:10:37 - mmengine - INFO - Epoch(train) [187][ 90/327] lr: 5.000000e-05 eta: 0:45:10 time: 0.347675 data_time: 0.032627 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.930727 2023/08/10 02:10:40 - mmengine - INFO - Epoch(train) [187][100/327] lr: 5.000000e-05 eta: 0:45:06 time: 0.344519 data_time: 0.031798 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.949405 2023/08/10 02:10:43 - mmengine - INFO - Epoch(train) [187][110/327] lr: 5.000000e-05 eta: 0:45:03 time: 0.342902 data_time: 0.031056 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.932085 2023/08/10 02:10:47 - mmengine - INFO - Epoch(train) [187][120/327] lr: 5.000000e-05 eta: 0:44:59 time: 0.342588 data_time: 0.031008 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.915209 2023/08/10 02:10:50 - mmengine - INFO - Epoch(train) [187][130/327] lr: 5.000000e-05 eta: 0:44:56 time: 0.343982 data_time: 0.031243 memory: 4563 loss: 0.000465 loss_kpt: 0.000465 acc_pose: 0.965517 2023/08/10 02:10:54 - mmengine - INFO - Epoch(train) [187][140/327] lr: 5.000000e-05 eta: 0:44:52 time: 0.346303 data_time: 0.031342 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.899713 2023/08/10 02:10:57 - mmengine - INFO - Epoch(train) [187][150/327] lr: 5.000000e-05 eta: 0:44:49 time: 0.347822 data_time: 0.031783 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.958009 2023/08/10 02:11:01 - mmengine - INFO - Epoch(train) [187][160/327] lr: 5.000000e-05 eta: 0:44:45 time: 0.348994 data_time: 0.031837 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.974425 2023/08/10 02:11:04 - mmengine - INFO - Epoch(train) [187][170/327] lr: 5.000000e-05 eta: 0:44:42 time: 0.349258 data_time: 0.031545 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.931897 2023/08/10 02:11:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:11:08 - mmengine - INFO - Epoch(train) [187][180/327] lr: 5.000000e-05 eta: 0:44:38 time: 0.348641 data_time: 0.031369 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.982738 2023/08/10 02:11:12 - mmengine - INFO - Epoch(train) [187][190/327] lr: 5.000000e-05 eta: 0:44:35 time: 0.354933 data_time: 0.034542 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.927861 2023/08/10 02:11:15 - mmengine - INFO - Epoch(train) [187][200/327] lr: 5.000000e-05 eta: 0:44:31 time: 0.354516 data_time: 0.034312 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.959373 2023/08/10 02:11:19 - mmengine - INFO - Epoch(train) [187][210/327] lr: 5.000000e-05 eta: 0:44:28 time: 0.354670 data_time: 0.034679 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.885196 2023/08/10 02:11:22 - mmengine - INFO - Epoch(train) [187][220/327] lr: 5.000000e-05 eta: 0:44:24 time: 0.356108 data_time: 0.035557 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.924804 2023/08/10 02:11:26 - mmengine - INFO - Epoch(train) [187][230/327] lr: 5.000000e-05 eta: 0:44:21 time: 0.355078 data_time: 0.035915 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.967473 2023/08/10 02:11:29 - mmengine - INFO - Epoch(train) [187][240/327] lr: 5.000000e-05 eta: 0:44:17 time: 0.346445 data_time: 0.032621 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 1.000000 2023/08/10 02:11:32 - mmengine - INFO - Epoch(train) [187][250/327] lr: 5.000000e-05 eta: 0:44:14 time: 0.345664 data_time: 0.032371 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.924405 2023/08/10 02:11:36 - mmengine - INFO - Epoch(train) [187][260/327] lr: 5.000000e-05 eta: 0:44:10 time: 0.344327 data_time: 0.032020 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.967204 2023/08/10 02:11:39 - mmengine - INFO - Epoch(train) [187][270/327] lr: 5.000000e-05 eta: 0:44:07 time: 0.343510 data_time: 0.031549 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.944345 2023/08/10 02:11:43 - mmengine - INFO - Epoch(train) [187][280/327] lr: 5.000000e-05 eta: 0:44:03 time: 0.348547 data_time: 0.031949 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.950806 2023/08/10 02:11:47 - mmengine - INFO - Epoch(train) [187][290/327] lr: 5.000000e-05 eta: 0:44:00 time: 0.351882 data_time: 0.032349 memory: 4563 loss: 0.000457 loss_kpt: 0.000457 acc_pose: 0.945902 2023/08/10 02:11:50 - mmengine - INFO - Epoch(train) [187][300/327] lr: 5.000000e-05 eta: 0:43:56 time: 0.350976 data_time: 0.032318 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.981125 2023/08/10 02:11:53 - mmengine - INFO - Epoch(train) [187][310/327] lr: 5.000000e-05 eta: 0:43:53 time: 0.350832 data_time: 0.032369 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.913955 2023/08/10 02:11:57 - mmengine - INFO - Epoch(train) [187][320/327] lr: 5.000000e-05 eta: 0:43:49 time: 0.350017 data_time: 0.032014 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.944775 2023/08/10 02:11:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:12:03 - mmengine - INFO - Epoch(train) [188][ 10/327] lr: 5.000000e-05 eta: 0:43:44 time: 0.344800 data_time: 0.034691 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.957740 2023/08/10 02:12:06 - mmengine - INFO - Epoch(train) [188][ 20/327] lr: 5.000000e-05 eta: 0:43:40 time: 0.345601 data_time: 0.034704 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.957471 2023/08/10 02:12:10 - mmengine - INFO - Epoch(train) [188][ 30/327] lr: 5.000000e-05 eta: 0:43:37 time: 0.354189 data_time: 0.034690 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.920182 2023/08/10 02:12:14 - mmengine - INFO - Epoch(train) [188][ 40/327] lr: 5.000000e-05 eta: 0:43:33 time: 0.357511 data_time: 0.034679 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.946691 2023/08/10 02:12:17 - mmengine - INFO - Epoch(train) [188][ 50/327] lr: 5.000000e-05 eta: 0:43:30 time: 0.356903 data_time: 0.034947 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.893585 2023/08/10 02:12:21 - mmengine - INFO - Epoch(train) [188][ 60/327] lr: 5.000000e-05 eta: 0:43:26 time: 0.354698 data_time: 0.033997 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.965805 2023/08/10 02:12:24 - mmengine - INFO - Epoch(train) [188][ 70/327] lr: 5.000000e-05 eta: 0:43:23 time: 0.358350 data_time: 0.034108 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.946301 2023/08/10 02:12:28 - mmengine - INFO - Epoch(train) [188][ 80/327] lr: 5.000000e-05 eta: 0:43:19 time: 0.353370 data_time: 0.037435 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.912562 2023/08/10 02:12:31 - mmengine - INFO - Epoch(train) [188][ 90/327] lr: 5.000000e-05 eta: 0:43:16 time: 0.352746 data_time: 0.037729 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.930619 2023/08/10 02:12:35 - mmengine - INFO - Epoch(train) [188][100/327] lr: 5.000000e-05 eta: 0:43:12 time: 0.351593 data_time: 0.037792 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.975000 2023/08/10 02:12:38 - mmengine - INFO - Epoch(train) [188][110/327] lr: 5.000000e-05 eta: 0:43:09 time: 0.348170 data_time: 0.034626 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.941073 2023/08/10 02:12:41 - mmengine - INFO - Epoch(train) [188][120/327] lr: 5.000000e-05 eta: 0:43:05 time: 0.343127 data_time: 0.034741 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.982759 2023/08/10 02:12:45 - mmengine - INFO - Epoch(train) [188][130/327] lr: 5.000000e-05 eta: 0:43:02 time: 0.339189 data_time: 0.031315 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.926562 2023/08/10 02:12:48 - mmengine - INFO - Epoch(train) [188][140/327] lr: 5.000000e-05 eta: 0:42:58 time: 0.335459 data_time: 0.031299 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.967421 2023/08/10 02:12:52 - mmengine - INFO - Epoch(train) [188][150/327] lr: 5.000000e-05 eta: 0:42:55 time: 0.337386 data_time: 0.032288 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.955286 2023/08/10 02:12:55 - mmengine - INFO - Epoch(train) [188][160/327] lr: 5.000000e-05 eta: 0:42:51 time: 0.343089 data_time: 0.032584 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.958333 2023/08/10 02:12:59 - mmengine - INFO - Epoch(train) [188][170/327] lr: 5.000000e-05 eta: 0:42:48 time: 0.342291 data_time: 0.032316 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.990741 2023/08/10 02:13:02 - mmengine - INFO - Epoch(train) [188][180/327] lr: 5.000000e-05 eta: 0:42:44 time: 0.341670 data_time: 0.032452 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.957680 2023/08/10 02:13:05 - mmengine - INFO - Epoch(train) [188][190/327] lr: 5.000000e-05 eta: 0:42:41 time: 0.341615 data_time: 0.032321 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.911508 2023/08/10 02:13:09 - mmengine - INFO - Epoch(train) [188][200/327] lr: 5.000000e-05 eta: 0:42:37 time: 0.340490 data_time: 0.031863 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.963932 2023/08/10 02:13:12 - mmengine - INFO - Epoch(train) [188][210/327] lr: 5.000000e-05 eta: 0:42:34 time: 0.337202 data_time: 0.031668 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.905303 2023/08/10 02:13:16 - mmengine - INFO - Epoch(train) [188][220/327] lr: 5.000000e-05 eta: 0:42:30 time: 0.341829 data_time: 0.034921 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.922222 2023/08/10 02:13:19 - mmengine - INFO - Epoch(train) [188][230/327] lr: 5.000000e-05 eta: 0:42:27 time: 0.349253 data_time: 0.035263 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.956130 2023/08/10 02:13:23 - mmengine - INFO - Epoch(train) [188][240/327] lr: 5.000000e-05 eta: 0:42:23 time: 0.349274 data_time: 0.035430 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.907030 2023/08/10 02:13:26 - mmengine - INFO - Epoch(train) [188][250/327] lr: 5.000000e-05 eta: 0:42:20 time: 0.348188 data_time: 0.035004 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.983046 2023/08/10 02:13:29 - mmengine - INFO - Epoch(train) [188][260/327] lr: 5.000000e-05 eta: 0:42:16 time: 0.346241 data_time: 0.034792 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.975538 2023/08/10 02:13:33 - mmengine - INFO - Epoch(train) [188][270/327] lr: 5.000000e-05 eta: 0:42:13 time: 0.344232 data_time: 0.031399 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.982451 2023/08/10 02:13:36 - mmengine - INFO - Epoch(train) [188][280/327] lr: 5.000000e-05 eta: 0:42:09 time: 0.337419 data_time: 0.031036 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.965805 2023/08/10 02:13:40 - mmengine - INFO - Epoch(train) [188][290/327] lr: 5.000000e-05 eta: 0:42:06 time: 0.337207 data_time: 0.030784 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.948810 2023/08/10 02:13:43 - mmengine - INFO - Epoch(train) [188][300/327] lr: 5.000000e-05 eta: 0:42:02 time: 0.338331 data_time: 0.030896 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.942080 2023/08/10 02:13:47 - mmengine - INFO - Epoch(train) [188][310/327] lr: 5.000000e-05 eta: 0:41:59 time: 0.341927 data_time: 0.031320 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.926307 2023/08/10 02:13:50 - mmengine - INFO - Epoch(train) [188][320/327] lr: 5.000000e-05 eta: 0:41:55 time: 0.341771 data_time: 0.031797 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.909270 2023/08/10 02:13:52 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:13:56 - mmengine - INFO - Epoch(train) [189][ 10/327] lr: 5.000000e-05 eta: 0:41:49 time: 0.344235 data_time: 0.035320 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.963884 2023/08/10 02:13:59 - mmengine - INFO - Epoch(train) [189][ 20/327] lr: 5.000000e-05 eta: 0:41:46 time: 0.346344 data_time: 0.035582 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.933939 2023/08/10 02:14:03 - mmengine - INFO - Epoch(train) [189][ 30/327] lr: 5.000000e-05 eta: 0:41:42 time: 0.345576 data_time: 0.035421 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.957945 2023/08/10 02:14:07 - mmengine - INFO - Epoch(train) [189][ 40/327] lr: 5.000000e-05 eta: 0:41:39 time: 0.352930 data_time: 0.038276 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.918943 2023/08/10 02:14:10 - mmengine - INFO - Epoch(train) [189][ 50/327] lr: 5.000000e-05 eta: 0:41:35 time: 0.358407 data_time: 0.039387 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.934682 2023/08/10 02:14:14 - mmengine - INFO - Epoch(train) [189][ 60/327] lr: 5.000000e-05 eta: 0:41:32 time: 0.356592 data_time: 0.035463 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.983315 2023/08/10 02:14:17 - mmengine - INFO - Epoch(train) [189][ 70/327] lr: 5.000000e-05 eta: 0:41:28 time: 0.356305 data_time: 0.035670 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.981812 2023/08/10 02:14:21 - mmengine - INFO - Epoch(train) [189][ 80/327] lr: 5.000000e-05 eta: 0:41:25 time: 0.355877 data_time: 0.035473 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.966917 2023/08/10 02:14:24 - mmengine - INFO - Epoch(train) [189][ 90/327] lr: 5.000000e-05 eta: 0:41:21 time: 0.348683 data_time: 0.032571 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.946296 2023/08/10 02:14:28 - mmengine - INFO - Epoch(train) [189][100/327] lr: 5.000000e-05 eta: 0:41:18 time: 0.347293 data_time: 0.032325 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.890306 2023/08/10 02:14:31 - mmengine - INFO - Epoch(train) [189][110/327] lr: 5.000000e-05 eta: 0:41:14 time: 0.348117 data_time: 0.032415 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.958276 2023/08/10 02:14:35 - mmengine - INFO - Epoch(train) [189][120/327] lr: 5.000000e-05 eta: 0:41:11 time: 0.347204 data_time: 0.031786 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.934659 2023/08/10 02:14:38 - mmengine - INFO - Epoch(train) [189][130/327] lr: 5.000000e-05 eta: 0:41:07 time: 0.345959 data_time: 0.031500 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.974405 2023/08/10 02:14:41 - mmengine - INFO - Epoch(train) [189][140/327] lr: 5.000000e-05 eta: 0:41:04 time: 0.344927 data_time: 0.031320 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.968750 2023/08/10 02:14:45 - mmengine - INFO - Epoch(train) [189][150/327] lr: 5.000000e-05 eta: 0:41:00 time: 0.347193 data_time: 0.031393 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.983333 2023/08/10 02:14:48 - mmengine - INFO - Epoch(train) [189][160/327] lr: 5.000000e-05 eta: 0:40:57 time: 0.344977 data_time: 0.030989 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.908565 2023/08/10 02:14:52 - mmengine - INFO - Epoch(train) [189][170/327] lr: 5.000000e-05 eta: 0:40:53 time: 0.346424 data_time: 0.031367 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.958276 2023/08/10 02:14:56 - mmengine - INFO - Epoch(train) [189][180/327] lr: 5.000000e-05 eta: 0:40:50 time: 0.354805 data_time: 0.031983 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.895238 2023/08/10 02:14:59 - mmengine - INFO - Epoch(train) [189][190/327] lr: 5.000000e-05 eta: 0:40:46 time: 0.362629 data_time: 0.031962 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.908401 2023/08/10 02:15:03 - mmengine - INFO - Epoch(train) [189][200/327] lr: 5.000000e-05 eta: 0:40:43 time: 0.370088 data_time: 0.034761 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.971866 2023/08/10 02:15:07 - mmengine - INFO - Epoch(train) [189][210/327] lr: 5.000000e-05 eta: 0:40:39 time: 0.376997 data_time: 0.034487 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.909722 2023/08/10 02:15:11 - mmengine - INFO - Epoch(train) [189][220/327] lr: 5.000000e-05 eta: 0:40:36 time: 0.384238 data_time: 0.034251 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.913752 2023/08/10 02:15:15 - mmengine - INFO - Epoch(train) [189][230/327] lr: 5.000000e-05 eta: 0:40:32 time: 0.378385 data_time: 0.034109 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.963294 2023/08/10 02:15:18 - mmengine - INFO - Epoch(train) [189][240/327] lr: 5.000000e-05 eta: 0:40:29 time: 0.374903 data_time: 0.034883 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.966322 2023/08/10 02:15:22 - mmengine - INFO - Epoch(train) [189][250/327] lr: 5.000000e-05 eta: 0:40:26 time: 0.365493 data_time: 0.032235 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.941379 2023/08/10 02:15:25 - mmengine - INFO - Epoch(train) [189][260/327] lr: 5.000000e-05 eta: 0:40:22 time: 0.358083 data_time: 0.032357 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.925751 2023/08/10 02:15:29 - mmengine - INFO - Epoch(train) [189][270/327] lr: 5.000000e-05 eta: 0:40:19 time: 0.349841 data_time: 0.032699 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.912471 2023/08/10 02:15:32 - mmengine - INFO - Epoch(train) [189][280/327] lr: 5.000000e-05 eta: 0:40:15 time: 0.347400 data_time: 0.032080 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.956525 2023/08/10 02:15:35 - mmengine - INFO - Epoch(train) [189][290/327] lr: 5.000000e-05 eta: 0:40:12 time: 0.344192 data_time: 0.031732 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.925824 2023/08/10 02:15:39 - mmengine - INFO - Epoch(train) [189][300/327] lr: 5.000000e-05 eta: 0:40:08 time: 0.346047 data_time: 0.032216 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.974078 2023/08/10 02:15:43 - mmengine - INFO - Epoch(train) [189][310/327] lr: 5.000000e-05 eta: 0:40:05 time: 0.347813 data_time: 0.032414 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.941191 2023/08/10 02:15:46 - mmengine - INFO - Epoch(train) [189][320/327] lr: 5.000000e-05 eta: 0:40:01 time: 0.349914 data_time: 0.031890 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.908241 2023/08/10 02:15:48 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:15:52 - mmengine - INFO - Epoch(train) [190][ 10/327] lr: 5.000000e-05 eta: 0:39:55 time: 0.351848 data_time: 0.034901 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.945283 2023/08/10 02:15:56 - mmengine - INFO - Epoch(train) [190][ 20/327] lr: 5.000000e-05 eta: 0:39:52 time: 0.352945 data_time: 0.034428 memory: 4563 loss: 0.000463 loss_kpt: 0.000463 acc_pose: 0.965741 2023/08/10 02:15:59 - mmengine - INFO - Epoch(train) [190][ 30/327] lr: 5.000000e-05 eta: 0:39:48 time: 0.354445 data_time: 0.034524 memory: 4563 loss: 0.000466 loss_kpt: 0.000466 acc_pose: 0.935215 2023/08/10 02:16:03 - mmengine - INFO - Epoch(train) [190][ 40/327] lr: 5.000000e-05 eta: 0:39:45 time: 0.353856 data_time: 0.034724 memory: 4563 loss: 0.000468 loss_kpt: 0.000468 acc_pose: 0.973479 2023/08/10 02:16:06 - mmengine - INFO - Epoch(train) [190][ 50/327] lr: 5.000000e-05 eta: 0:39:41 time: 0.360939 data_time: 0.036403 memory: 4563 loss: 0.000462 loss_kpt: 0.000462 acc_pose: 0.934358 2023/08/10 02:16:10 - mmengine - INFO - Epoch(train) [190][ 60/327] lr: 5.000000e-05 eta: 0:39:38 time: 0.356424 data_time: 0.032249 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.982143 2023/08/10 02:16:13 - mmengine - INFO - Epoch(train) [190][ 70/327] lr: 5.000000e-05 eta: 0:39:34 time: 0.352398 data_time: 0.031954 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.991071 2023/08/10 02:16:17 - mmengine - INFO - Epoch(train) [190][ 80/327] lr: 5.000000e-05 eta: 0:39:31 time: 0.349014 data_time: 0.031576 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.917485 2023/08/10 02:16:20 - mmengine - INFO - Epoch(train) [190][ 90/327] lr: 5.000000e-05 eta: 0:39:27 time: 0.348144 data_time: 0.031920 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.958046 2023/08/10 02:16:24 - mmengine - INFO - Epoch(train) [190][100/327] lr: 5.000000e-05 eta: 0:39:24 time: 0.348192 data_time: 0.031606 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.904579 2023/08/10 02:16:27 - mmengine - INFO - Epoch(train) [190][110/327] lr: 5.000000e-05 eta: 0:39:20 time: 0.351739 data_time: 0.031974 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.966630 2023/08/10 02:16:31 - mmengine - INFO - Epoch(train) [190][120/327] lr: 5.000000e-05 eta: 0:39:17 time: 0.354908 data_time: 0.032108 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.957163 2023/08/10 02:16:35 - mmengine - INFO - Epoch(train) [190][130/327] lr: 5.000000e-05 eta: 0:39:13 time: 0.360128 data_time: 0.032853 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.925106 2023/08/10 02:16:38 - mmengine - INFO - Epoch(train) [190][140/327] lr: 5.000000e-05 eta: 0:39:10 time: 0.365174 data_time: 0.033210 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.945414 2023/08/10 02:16:42 - mmengine - INFO - Epoch(train) [190][150/327] lr: 5.000000e-05 eta: 0:39:06 time: 0.364138 data_time: 0.033653 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.974713 2023/08/10 02:16:46 - mmengine - INFO - Epoch(train) [190][160/327] lr: 5.000000e-05 eta: 0:39:03 time: 0.363578 data_time: 0.033378 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.964286 2023/08/10 02:16:49 - mmengine - INFO - Epoch(train) [190][170/327] lr: 5.000000e-05 eta: 0:38:59 time: 0.362723 data_time: 0.033738 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.934140 2023/08/10 02:16:53 - mmengine - INFO - Epoch(train) [190][180/327] lr: 5.000000e-05 eta: 0:38:56 time: 0.357846 data_time: 0.033083 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.943758 2023/08/10 02:16:56 - mmengine - INFO - Epoch(train) [190][190/327] lr: 5.000000e-05 eta: 0:38:52 time: 0.354080 data_time: 0.032535 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.958453 2023/08/10 02:16:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:17:00 - mmengine - INFO - Epoch(train) [190][200/327] lr: 5.000000e-05 eta: 0:38:49 time: 0.352324 data_time: 0.032163 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.958046 2023/08/10 02:17:03 - mmengine - INFO - Epoch(train) [190][210/327] lr: 5.000000e-05 eta: 0:38:45 time: 0.349860 data_time: 0.031921 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.913261 2023/08/10 02:17:07 - mmengine - INFO - Epoch(train) [190][220/327] lr: 5.000000e-05 eta: 0:38:42 time: 0.349376 data_time: 0.031301 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.893023 2023/08/10 02:17:10 - mmengine - INFO - Epoch(train) [190][230/327] lr: 5.000000e-05 eta: 0:38:38 time: 0.352673 data_time: 0.031371 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.982451 2023/08/10 02:17:14 - mmengine - INFO - Epoch(train) [190][240/327] lr: 5.000000e-05 eta: 0:38:35 time: 0.351401 data_time: 0.031471 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.957759 2023/08/10 02:17:17 - mmengine - INFO - Epoch(train) [190][250/327] lr: 5.000000e-05 eta: 0:38:31 time: 0.352831 data_time: 0.031420 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.956237 2023/08/10 02:17:21 - mmengine - INFO - Epoch(train) [190][260/327] lr: 5.000000e-05 eta: 0:38:28 time: 0.354717 data_time: 0.031601 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.991667 2023/08/10 02:17:24 - mmengine - INFO - Epoch(train) [190][270/327] lr: 5.000000e-05 eta: 0:38:24 time: 0.353088 data_time: 0.032168 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.974425 2023/08/10 02:17:28 - mmengine - INFO - Epoch(train) [190][280/327] lr: 5.000000e-05 eta: 0:38:21 time: 0.350847 data_time: 0.032751 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.965806 2023/08/10 02:17:32 - mmengine - INFO - Epoch(train) [190][290/327] lr: 5.000000e-05 eta: 0:38:17 time: 0.359175 data_time: 0.032628 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.965805 2023/08/10 02:17:35 - mmengine - INFO - Epoch(train) [190][300/327] lr: 5.000000e-05 eta: 0:38:14 time: 0.361510 data_time: 0.035682 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.974425 2023/08/10 02:17:39 - mmengine - INFO - Epoch(train) [190][310/327] lr: 5.000000e-05 eta: 0:38:11 time: 0.361364 data_time: 0.035846 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.982407 2023/08/10 02:17:43 - mmengine - INFO - Epoch(train) [190][320/327] lr: 5.000000e-05 eta: 0:38:07 time: 0.363543 data_time: 0.036114 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.932643 2023/08/10 02:17:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:17:45 - mmengine - INFO - Saving checkpoint at 190 epochs 2023/08/10 02:17:51 - mmengine - INFO - Epoch(val) [190][10/79] eta: 0:00:14 time: 0.195144 data_time: 0.012876 memory: 4563 2023/08/10 02:17:53 - mmengine - INFO - Epoch(val) [190][20/79] eta: 0:00:11 time: 0.194854 data_time: 0.012743 memory: 1634 2023/08/10 02:17:55 - mmengine - INFO - Epoch(val) [190][30/79] eta: 0:00:09 time: 0.194707 data_time: 0.012653 memory: 1634 2023/08/10 02:17:57 - mmengine - INFO - Epoch(val) [190][40/79] eta: 0:00:07 time: 0.194776 data_time: 0.012760 memory: 1634 2023/08/10 02:17:58 - mmengine - INFO - Epoch(val) [190][50/79] eta: 0:00:05 time: 0.196722 data_time: 0.012921 memory: 1634 2023/08/10 02:18:00 - mmengine - INFO - Epoch(val) [190][60/79] eta: 0:00:03 time: 0.194356 data_time: 0.010858 memory: 1634 2023/08/10 02:18:02 - mmengine - INFO - Epoch(val) [190][70/79] eta: 0:00:01 time: 0.194210 data_time: 0.010766 memory: 1634 2023/08/10 02:18:04 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 02:18:04 - mmengine - INFO - Evaluating AUC... 2023/08/10 02:18:04 - mmengine - INFO - Evaluating EPE... 2023/08/10 02:18:04 - mmengine - INFO - Epoch(val) [190][79/79] PCK: 0.979068 AUC: 0.759829 EPE: 8.731882 data_time: 0.011944 time: 0.193283 2023/08/10 02:18:08 - mmengine - INFO - Epoch(train) [191][ 10/327] lr: 5.000000e-05 eta: 0:38:01 time: 0.358504 data_time: 0.038923 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.889118 2023/08/10 02:18:12 - mmengine - INFO - Epoch(train) [191][ 20/327] lr: 5.000000e-05 eta: 0:37:58 time: 0.354220 data_time: 0.038715 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.964901 2023/08/10 02:18:15 - mmengine - INFO - Epoch(train) [191][ 30/327] lr: 5.000000e-05 eta: 0:37:54 time: 0.347036 data_time: 0.035286 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.906511 2023/08/10 02:18:18 - mmengine - INFO - Epoch(train) [191][ 40/327] lr: 5.000000e-05 eta: 0:37:51 time: 0.348133 data_time: 0.034623 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.957471 2023/08/10 02:18:22 - mmengine - INFO - Epoch(train) [191][ 50/327] lr: 5.000000e-05 eta: 0:37:47 time: 0.350663 data_time: 0.035683 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.950519 2023/08/10 02:18:25 - mmengine - INFO - Epoch(train) [191][ 60/327] lr: 5.000000e-05 eta: 0:37:44 time: 0.345305 data_time: 0.031263 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.911177 2023/08/10 02:18:29 - mmengine - INFO - Epoch(train) [191][ 70/327] lr: 5.000000e-05 eta: 0:37:40 time: 0.349071 data_time: 0.031152 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.930291 2023/08/10 02:18:33 - mmengine - INFO - Epoch(train) [191][ 80/327] lr: 5.000000e-05 eta: 0:37:37 time: 0.355977 data_time: 0.031358 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.983602 2023/08/10 02:18:36 - mmengine - INFO - Epoch(train) [191][ 90/327] lr: 5.000000e-05 eta: 0:37:33 time: 0.353987 data_time: 0.030934 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.946360 2023/08/10 02:18:40 - mmengine - INFO - Epoch(train) [191][100/327] lr: 5.000000e-05 eta: 0:37:30 time: 0.353492 data_time: 0.031140 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.973431 2023/08/10 02:18:43 - mmengine - INFO - Epoch(train) [191][110/327] lr: 5.000000e-05 eta: 0:37:26 time: 0.353496 data_time: 0.030850 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.972143 2023/08/10 02:18:47 - mmengine - INFO - Epoch(train) [191][120/327] lr: 5.000000e-05 eta: 0:37:23 time: 0.353690 data_time: 0.031623 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.972120 2023/08/10 02:18:50 - mmengine - INFO - Epoch(train) [191][130/327] lr: 5.000000e-05 eta: 0:37:19 time: 0.347760 data_time: 0.031652 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.903941 2023/08/10 02:18:54 - mmengine - INFO - Epoch(train) [191][140/327] lr: 5.000000e-05 eta: 0:37:16 time: 0.348400 data_time: 0.032176 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.924368 2023/08/10 02:18:57 - mmengine - INFO - Epoch(train) [191][150/327] lr: 5.000000e-05 eta: 0:37:12 time: 0.347933 data_time: 0.031985 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.928808 2023/08/10 02:19:00 - mmengine - INFO - Epoch(train) [191][160/327] lr: 5.000000e-05 eta: 0:37:09 time: 0.347513 data_time: 0.032047 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.973718 2023/08/10 02:19:04 - mmengine - INFO - Epoch(train) [191][170/327] lr: 5.000000e-05 eta: 0:37:05 time: 0.344509 data_time: 0.031865 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.922286 2023/08/10 02:19:07 - mmengine - INFO - Epoch(train) [191][180/327] lr: 5.000000e-05 eta: 0:37:02 time: 0.345059 data_time: 0.032273 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.967134 2023/08/10 02:19:11 - mmengine - INFO - Epoch(train) [191][190/327] lr: 5.000000e-05 eta: 0:36:58 time: 0.344017 data_time: 0.032107 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.914943 2023/08/10 02:19:14 - mmengine - INFO - Epoch(train) [191][200/327] lr: 5.000000e-05 eta: 0:36:55 time: 0.345763 data_time: 0.032395 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.965741 2023/08/10 02:19:18 - mmengine - INFO - Epoch(train) [191][210/327] lr: 5.000000e-05 eta: 0:36:51 time: 0.346766 data_time: 0.032220 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.974713 2023/08/10 02:19:21 - mmengine - INFO - Epoch(train) [191][220/327] lr: 5.000000e-05 eta: 0:36:48 time: 0.351070 data_time: 0.032975 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.953214 2023/08/10 02:19:25 - mmengine - INFO - Epoch(train) [191][230/327] lr: 5.000000e-05 eta: 0:36:44 time: 0.350944 data_time: 0.032343 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.950870 2023/08/10 02:19:28 - mmengine - INFO - Epoch(train) [191][240/327] lr: 5.000000e-05 eta: 0:36:41 time: 0.350612 data_time: 0.032164 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.983046 2023/08/10 02:19:32 - mmengine - INFO - Epoch(train) [191][250/327] lr: 5.000000e-05 eta: 0:36:37 time: 0.349369 data_time: 0.031644 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.963220 2023/08/10 02:19:35 - mmengine - INFO - Epoch(train) [191][260/327] lr: 5.000000e-05 eta: 0:36:34 time: 0.351765 data_time: 0.031758 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.948611 2023/08/10 02:19:39 - mmengine - INFO - Epoch(train) [191][270/327] lr: 5.000000e-05 eta: 0:36:30 time: 0.347170 data_time: 0.030667 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.955312 2023/08/10 02:19:42 - mmengine - INFO - Epoch(train) [191][280/327] lr: 5.000000e-05 eta: 0:36:27 time: 0.348132 data_time: 0.030955 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.957738 2023/08/10 02:19:46 - mmengine - INFO - Epoch(train) [191][290/327] lr: 5.000000e-05 eta: 0:36:23 time: 0.348081 data_time: 0.031105 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.929803 2023/08/10 02:19:49 - mmengine - INFO - Epoch(train) [191][300/327] lr: 5.000000e-05 eta: 0:36:20 time: 0.347567 data_time: 0.030923 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.918201 2023/08/10 02:19:53 - mmengine - INFO - Epoch(train) [191][310/327] lr: 5.000000e-05 eta: 0:36:16 time: 0.344615 data_time: 0.030991 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.954462 2023/08/10 02:19:56 - mmengine - INFO - Epoch(train) [191][320/327] lr: 5.000000e-05 eta: 0:36:13 time: 0.347541 data_time: 0.031201 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.975000 2023/08/10 02:19:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:20:03 - mmengine - INFO - Epoch(train) [192][ 10/327] lr: 5.000000e-05 eta: 0:36:07 time: 0.355002 data_time: 0.035024 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.939039 2023/08/10 02:20:06 - mmengine - INFO - Epoch(train) [192][ 20/327] lr: 5.000000e-05 eta: 0:36:03 time: 0.356152 data_time: 0.035134 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.947222 2023/08/10 02:20:10 - mmengine - INFO - Epoch(train) [192][ 30/327] lr: 5.000000e-05 eta: 0:36:00 time: 0.358318 data_time: 0.035799 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.943244 2023/08/10 02:20:13 - mmengine - INFO - Epoch(train) [192][ 40/327] lr: 5.000000e-05 eta: 0:35:56 time: 0.357842 data_time: 0.036150 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.990385 2023/08/10 02:20:17 - mmengine - INFO - Epoch(train) [192][ 50/327] lr: 5.000000e-05 eta: 0:35:53 time: 0.356777 data_time: 0.037828 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.948925 2023/08/10 02:20:20 - mmengine - INFO - Epoch(train) [192][ 60/327] lr: 5.000000e-05 eta: 0:35:49 time: 0.351524 data_time: 0.037355 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.941278 2023/08/10 02:20:24 - mmengine - INFO - Epoch(train) [192][ 70/327] lr: 5.000000e-05 eta: 0:35:46 time: 0.354232 data_time: 0.038134 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.922167 2023/08/10 02:20:27 - mmengine - INFO - Epoch(train) [192][ 80/327] lr: 5.000000e-05 eta: 0:35:42 time: 0.352168 data_time: 0.037879 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.923810 2023/08/10 02:20:31 - mmengine - INFO - Epoch(train) [192][ 90/327] lr: 5.000000e-05 eta: 0:35:39 time: 0.356624 data_time: 0.037655 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.964796 2023/08/10 02:20:34 - mmengine - INFO - Epoch(train) [192][100/327] lr: 5.000000e-05 eta: 0:35:35 time: 0.357306 data_time: 0.036304 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.956424 2023/08/10 02:20:38 - mmengine - INFO - Epoch(train) [192][110/327] lr: 5.000000e-05 eta: 0:35:32 time: 0.353101 data_time: 0.032850 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.929187 2023/08/10 02:20:41 - mmengine - INFO - Epoch(train) [192][120/327] lr: 5.000000e-05 eta: 0:35:28 time: 0.349134 data_time: 0.032181 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.940476 2023/08/10 02:20:45 - mmengine - INFO - Epoch(train) [192][130/327] lr: 5.000000e-05 eta: 0:35:25 time: 0.349349 data_time: 0.032320 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.950806 2023/08/10 02:20:48 - mmengine - INFO - Epoch(train) [192][140/327] lr: 5.000000e-05 eta: 0:35:21 time: 0.348778 data_time: 0.031993 memory: 4563 loss: 0.000448 loss_kpt: 0.000448 acc_pose: 0.982759 2023/08/10 02:20:52 - mmengine - INFO - Epoch(train) [192][150/327] lr: 5.000000e-05 eta: 0:35:18 time: 0.357137 data_time: 0.031842 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.913426 2023/08/10 02:20:56 - mmengine - INFO - Epoch(train) [192][160/327] lr: 5.000000e-05 eta: 0:35:15 time: 0.358756 data_time: 0.031652 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.941994 2023/08/10 02:20:59 - mmengine - INFO - Epoch(train) [192][170/327] lr: 5.000000e-05 eta: 0:35:11 time: 0.358358 data_time: 0.031590 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.957577 2023/08/10 02:21:03 - mmengine - INFO - Epoch(train) [192][180/327] lr: 5.000000e-05 eta: 0:35:08 time: 0.357576 data_time: 0.031362 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.954074 2023/08/10 02:21:06 - mmengine - INFO - Epoch(train) [192][190/327] lr: 5.000000e-05 eta: 0:35:04 time: 0.354909 data_time: 0.031123 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.932759 2023/08/10 02:21:10 - mmengine - INFO - Epoch(train) [192][200/327] lr: 5.000000e-05 eta: 0:35:01 time: 0.347630 data_time: 0.031164 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.948214 2023/08/10 02:21:13 - mmengine - INFO - Epoch(train) [192][210/327] lr: 5.000000e-05 eta: 0:34:57 time: 0.348476 data_time: 0.031440 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.927200 2023/08/10 02:21:17 - mmengine - INFO - Epoch(train) [192][220/327] lr: 5.000000e-05 eta: 0:34:54 time: 0.350872 data_time: 0.031909 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.965097 2023/08/10 02:21:20 - mmengine - INFO - Epoch(train) [192][230/327] lr: 5.000000e-05 eta: 0:34:50 time: 0.353030 data_time: 0.032140 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.965805 2023/08/10 02:21:24 - mmengine - INFO - Epoch(train) [192][240/327] lr: 5.000000e-05 eta: 0:34:47 time: 0.350642 data_time: 0.032230 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.912572 2023/08/10 02:21:27 - mmengine - INFO - Epoch(train) [192][250/327] lr: 5.000000e-05 eta: 0:34:43 time: 0.350587 data_time: 0.035319 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.980741 2023/08/10 02:21:31 - mmengine - INFO - Epoch(train) [192][260/327] lr: 5.000000e-05 eta: 0:34:40 time: 0.348450 data_time: 0.034892 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.954981 2023/08/10 02:21:34 - mmengine - INFO - Epoch(train) [192][270/327] lr: 5.000000e-05 eta: 0:34:36 time: 0.348774 data_time: 0.034850 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.943912 2023/08/10 02:21:38 - mmengine - INFO - Epoch(train) [192][280/327] lr: 5.000000e-05 eta: 0:34:33 time: 0.352838 data_time: 0.034739 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.989583 2023/08/10 02:21:41 - mmengine - INFO - Epoch(train) [192][290/327] lr: 5.000000e-05 eta: 0:34:29 time: 0.355460 data_time: 0.035428 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.983333 2023/08/10 02:21:45 - mmengine - INFO - Epoch(train) [192][300/327] lr: 5.000000e-05 eta: 0:34:26 time: 0.352628 data_time: 0.032358 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.958565 2023/08/10 02:21:48 - mmengine - INFO - Epoch(train) [192][310/327] lr: 5.000000e-05 eta: 0:34:22 time: 0.355183 data_time: 0.032599 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.991071 2023/08/10 02:21:52 - mmengine - INFO - Epoch(train) [192][320/327] lr: 5.000000e-05 eta: 0:34:19 time: 0.355196 data_time: 0.032363 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.919951 2023/08/10 02:21:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:21:58 - mmengine - INFO - Epoch(train) [193][ 10/327] lr: 5.000000e-05 eta: 0:34:13 time: 0.353637 data_time: 0.035513 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.948499 2023/08/10 02:22:01 - mmengine - INFO - Epoch(train) [193][ 20/327] lr: 5.000000e-05 eta: 0:34:09 time: 0.353000 data_time: 0.035207 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.940768 2023/08/10 02:22:05 - mmengine - INFO - Epoch(train) [193][ 30/327] lr: 5.000000e-05 eta: 0:34:06 time: 0.352486 data_time: 0.035356 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.915295 2023/08/10 02:22:08 - mmengine - INFO - Epoch(train) [193][ 40/327] lr: 5.000000e-05 eta: 0:34:02 time: 0.348985 data_time: 0.034900 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.908333 2023/08/10 02:22:12 - mmengine - INFO - Epoch(train) [193][ 50/327] lr: 5.000000e-05 eta: 0:33:59 time: 0.347330 data_time: 0.035353 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.967742 2023/08/10 02:22:15 - mmengine - INFO - Epoch(train) [193][ 60/327] lr: 5.000000e-05 eta: 0:33:55 time: 0.342650 data_time: 0.031394 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.966010 2023/08/10 02:22:19 - mmengine - INFO - Epoch(train) [193][ 70/327] lr: 5.000000e-05 eta: 0:33:52 time: 0.345417 data_time: 0.031363 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.923632 2023/08/10 02:22:22 - mmengine - INFO - Epoch(train) [193][ 80/327] lr: 5.000000e-05 eta: 0:33:48 time: 0.346455 data_time: 0.031649 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.965150 2023/08/10 02:22:26 - mmengine - INFO - Epoch(train) [193][ 90/327] lr: 5.000000e-05 eta: 0:33:45 time: 0.346311 data_time: 0.031598 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.983602 2023/08/10 02:22:29 - mmengine - INFO - Epoch(train) [193][100/327] lr: 5.000000e-05 eta: 0:33:41 time: 0.347489 data_time: 0.032177 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.947660 2023/08/10 02:22:33 - mmengine - INFO - Epoch(train) [193][110/327] lr: 5.000000e-05 eta: 0:33:38 time: 0.346842 data_time: 0.032029 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.948235 2023/08/10 02:22:36 - mmengine - INFO - Epoch(train) [193][120/327] lr: 5.000000e-05 eta: 0:33:34 time: 0.343708 data_time: 0.031852 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.920970 2023/08/10 02:22:39 - mmengine - INFO - Epoch(train) [193][130/327] lr: 5.000000e-05 eta: 0:33:31 time: 0.343766 data_time: 0.031741 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.968498 2023/08/10 02:22:43 - mmengine - INFO - Epoch(train) [193][140/327] lr: 5.000000e-05 eta: 0:33:27 time: 0.346080 data_time: 0.031794 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.983871 2023/08/10 02:22:47 - mmengine - INFO - Epoch(train) [193][150/327] lr: 5.000000e-05 eta: 0:33:24 time: 0.348553 data_time: 0.031739 memory: 4563 loss: 0.000405 loss_kpt: 0.000405 acc_pose: 0.973810 2023/08/10 02:22:50 - mmengine - INFO - Epoch(train) [193][160/327] lr: 5.000000e-05 eta: 0:33:20 time: 0.354132 data_time: 0.032455 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.911946 2023/08/10 02:22:54 - mmengine - INFO - Epoch(train) [193][170/327] lr: 5.000000e-05 eta: 0:33:17 time: 0.358873 data_time: 0.032785 memory: 4563 loss: 0.000405 loss_kpt: 0.000405 acc_pose: 0.931424 2023/08/10 02:22:57 - mmengine - INFO - Epoch(train) [193][180/327] lr: 5.000000e-05 eta: 0:33:13 time: 0.356504 data_time: 0.033106 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.973417 2023/08/10 02:23:01 - mmengine - INFO - Epoch(train) [193][190/327] lr: 5.000000e-05 eta: 0:33:10 time: 0.353555 data_time: 0.033749 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.966071 2023/08/10 02:23:04 - mmengine - INFO - Epoch(train) [193][200/327] lr: 5.000000e-05 eta: 0:33:06 time: 0.350076 data_time: 0.033996 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.949388 2023/08/10 02:23:08 - mmengine - INFO - Epoch(train) [193][210/327] lr: 5.000000e-05 eta: 0:33:03 time: 0.348803 data_time: 0.033449 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.927768 2023/08/10 02:23:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:23:11 - mmengine - INFO - Epoch(train) [193][220/327] lr: 5.000000e-05 eta: 0:32:59 time: 0.345590 data_time: 0.033771 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.956589 2023/08/10 02:23:15 - mmengine - INFO - Epoch(train) [193][230/327] lr: 5.000000e-05 eta: 0:32:56 time: 0.346196 data_time: 0.033113 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.932471 2023/08/10 02:23:18 - mmengine - INFO - Epoch(train) [193][240/327] lr: 5.000000e-05 eta: 0:32:52 time: 0.350120 data_time: 0.032586 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.990741 2023/08/10 02:23:22 - mmengine - INFO - Epoch(train) [193][250/327] lr: 5.000000e-05 eta: 0:32:49 time: 0.352367 data_time: 0.031849 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.991379 2023/08/10 02:23:25 - mmengine - INFO - Epoch(train) [193][260/327] lr: 5.000000e-05 eta: 0:32:45 time: 0.348519 data_time: 0.031689 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.937739 2023/08/10 02:23:29 - mmengine - INFO - Epoch(train) [193][270/327] lr: 5.000000e-05 eta: 0:32:42 time: 0.347108 data_time: 0.031099 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.974138 2023/08/10 02:23:32 - mmengine - INFO - Epoch(train) [193][280/327] lr: 5.000000e-05 eta: 0:32:38 time: 0.349529 data_time: 0.031882 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.949944 2023/08/10 02:23:36 - mmengine - INFO - Epoch(train) [193][290/327] lr: 5.000000e-05 eta: 0:32:35 time: 0.347930 data_time: 0.032047 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.907871 2023/08/10 02:23:39 - mmengine - INFO - Epoch(train) [193][300/327] lr: 5.000000e-05 eta: 0:32:31 time: 0.347665 data_time: 0.032703 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.974425 2023/08/10 02:23:43 - mmengine - INFO - Epoch(train) [193][310/327] lr: 5.000000e-05 eta: 0:32:28 time: 0.349942 data_time: 0.033306 memory: 4563 loss: 0.000458 loss_kpt: 0.000458 acc_pose: 0.926216 2023/08/10 02:23:46 - mmengine - INFO - Epoch(train) [193][320/327] lr: 5.000000e-05 eta: 0:32:24 time: 0.350169 data_time: 0.033297 memory: 4563 loss: 0.000456 loss_kpt: 0.000456 acc_pose: 0.950806 2023/08/10 02:23:49 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:23:52 - mmengine - INFO - Epoch(train) [194][ 10/327] lr: 5.000000e-05 eta: 0:32:18 time: 0.352155 data_time: 0.036154 memory: 4563 loss: 0.000459 loss_kpt: 0.000459 acc_pose: 0.902151 2023/08/10 02:23:56 - mmengine - INFO - Epoch(train) [194][ 20/327] lr: 5.000000e-05 eta: 0:32:15 time: 0.351803 data_time: 0.036080 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.941092 2023/08/10 02:23:59 - mmengine - INFO - Epoch(train) [194][ 30/327] lr: 5.000000e-05 eta: 0:32:11 time: 0.351013 data_time: 0.035477 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.983871 2023/08/10 02:24:03 - mmengine - INFO - Epoch(train) [194][ 40/327] lr: 5.000000e-05 eta: 0:32:08 time: 0.352504 data_time: 0.035305 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.935665 2023/08/10 02:24:06 - mmengine - INFO - Epoch(train) [194][ 50/327] lr: 5.000000e-05 eta: 0:32:04 time: 0.356279 data_time: 0.036647 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.958871 2023/08/10 02:24:10 - mmengine - INFO - Epoch(train) [194][ 60/327] lr: 5.000000e-05 eta: 0:32:01 time: 0.354807 data_time: 0.032255 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.973148 2023/08/10 02:24:13 - mmengine - INFO - Epoch(train) [194][ 70/327] lr: 5.000000e-05 eta: 0:31:57 time: 0.354271 data_time: 0.031986 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.928455 2023/08/10 02:24:17 - mmengine - INFO - Epoch(train) [194][ 80/327] lr: 5.000000e-05 eta: 0:31:54 time: 0.351548 data_time: 0.031632 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.957051 2023/08/10 02:24:20 - mmengine - INFO - Epoch(train) [194][ 90/327] lr: 5.000000e-05 eta: 0:31:50 time: 0.349787 data_time: 0.031750 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.983333 2023/08/10 02:24:24 - mmengine - INFO - Epoch(train) [194][100/327] lr: 5.000000e-05 eta: 0:31:47 time: 0.346501 data_time: 0.031119 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.956198 2023/08/10 02:24:27 - mmengine - INFO - Epoch(train) [194][110/327] lr: 5.000000e-05 eta: 0:31:43 time: 0.343731 data_time: 0.031739 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.975269 2023/08/10 02:24:31 - mmengine - INFO - Epoch(train) [194][120/327] lr: 5.000000e-05 eta: 0:31:40 time: 0.353336 data_time: 0.032146 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.924275 2023/08/10 02:24:35 - mmengine - INFO - Epoch(train) [194][130/327] lr: 5.000000e-05 eta: 0:31:37 time: 0.362542 data_time: 0.032649 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.925463 2023/08/10 02:24:38 - mmengine - INFO - Epoch(train) [194][140/327] lr: 5.000000e-05 eta: 0:31:33 time: 0.364260 data_time: 0.032505 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.972917 2023/08/10 02:24:42 - mmengine - INFO - Epoch(train) [194][150/327] lr: 5.000000e-05 eta: 0:31:30 time: 0.366518 data_time: 0.032238 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.916580 2023/08/10 02:24:46 - mmengine - INFO - Epoch(train) [194][160/327] lr: 5.000000e-05 eta: 0:31:26 time: 0.367679 data_time: 0.032025 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.942186 2023/08/10 02:24:49 - mmengine - INFO - Epoch(train) [194][170/327] lr: 5.000000e-05 eta: 0:31:23 time: 0.360179 data_time: 0.032303 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.938690 2023/08/10 02:24:53 - mmengine - INFO - Epoch(train) [194][180/327] lr: 5.000000e-05 eta: 0:31:19 time: 0.355313 data_time: 0.032044 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.958027 2023/08/10 02:24:56 - mmengine - INFO - Epoch(train) [194][190/327] lr: 5.000000e-05 eta: 0:31:16 time: 0.353339 data_time: 0.032097 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.958871 2023/08/10 02:25:00 - mmengine - INFO - Epoch(train) [194][200/327] lr: 5.000000e-05 eta: 0:31:12 time: 0.350628 data_time: 0.031766 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.967473 2023/08/10 02:25:03 - mmengine - INFO - Epoch(train) [194][210/327] lr: 5.000000e-05 eta: 0:31:09 time: 0.347655 data_time: 0.031315 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.956897 2023/08/10 02:25:07 - mmengine - INFO - Epoch(train) [194][220/327] lr: 5.000000e-05 eta: 0:31:05 time: 0.352790 data_time: 0.030726 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.934677 2023/08/10 02:25:10 - mmengine - INFO - Epoch(train) [194][230/327] lr: 5.000000e-05 eta: 0:31:02 time: 0.352240 data_time: 0.031260 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.952885 2023/08/10 02:25:14 - mmengine - INFO - Epoch(train) [194][240/327] lr: 5.000000e-05 eta: 0:30:58 time: 0.354114 data_time: 0.031571 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.956281 2023/08/10 02:25:18 - mmengine - INFO - Epoch(train) [194][250/327] lr: 5.000000e-05 eta: 0:30:55 time: 0.358825 data_time: 0.032278 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 1.000000 2023/08/10 02:25:21 - mmengine - INFO - Epoch(train) [194][260/327] lr: 5.000000e-05 eta: 0:30:51 time: 0.360882 data_time: 0.032169 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.975538 2023/08/10 02:25:25 - mmengine - INFO - Epoch(train) [194][270/327] lr: 5.000000e-05 eta: 0:30:48 time: 0.358401 data_time: 0.032556 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.896433 2023/08/10 02:25:28 - mmengine - INFO - Epoch(train) [194][280/327] lr: 5.000000e-05 eta: 0:30:44 time: 0.357669 data_time: 0.032416 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.955619 2023/08/10 02:25:32 - mmengine - INFO - Epoch(train) [194][290/327] lr: 5.000000e-05 eta: 0:30:41 time: 0.356758 data_time: 0.032555 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.973454 2023/08/10 02:25:35 - mmengine - INFO - Epoch(train) [194][300/327] lr: 5.000000e-05 eta: 0:30:37 time: 0.353608 data_time: 0.032312 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.947637 2023/08/10 02:25:39 - mmengine - INFO - Epoch(train) [194][310/327] lr: 5.000000e-05 eta: 0:30:34 time: 0.356715 data_time: 0.032510 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.984375 2023/08/10 02:25:42 - mmengine - INFO - Epoch(train) [194][320/327] lr: 5.000000e-05 eta: 0:30:30 time: 0.353730 data_time: 0.032100 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.931806 2023/08/10 02:25:45 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:25:48 - mmengine - INFO - Epoch(train) [195][ 10/327] lr: 5.000000e-05 eta: 0:30:24 time: 0.353264 data_time: 0.034305 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.983333 2023/08/10 02:25:52 - mmengine - INFO - Epoch(train) [195][ 20/327] lr: 5.000000e-05 eta: 0:30:21 time: 0.353495 data_time: 0.034239 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.947286 2023/08/10 02:25:55 - mmengine - INFO - Epoch(train) [195][ 30/327] lr: 5.000000e-05 eta: 0:30:17 time: 0.351461 data_time: 0.035277 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.991935 2023/08/10 02:25:59 - mmengine - INFO - Epoch(train) [195][ 40/327] lr: 5.000000e-05 eta: 0:30:14 time: 0.352087 data_time: 0.035311 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.956221 2023/08/10 02:26:02 - mmengine - INFO - Epoch(train) [195][ 50/327] lr: 5.000000e-05 eta: 0:30:10 time: 0.353588 data_time: 0.036416 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.940803 2023/08/10 02:26:06 - mmengine - INFO - Epoch(train) [195][ 60/327] lr: 5.000000e-05 eta: 0:30:07 time: 0.351863 data_time: 0.032777 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.983871 2023/08/10 02:26:10 - mmengine - INFO - Epoch(train) [195][ 70/327] lr: 5.000000e-05 eta: 0:30:03 time: 0.352155 data_time: 0.032952 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.965745 2023/08/10 02:26:13 - mmengine - INFO - Epoch(train) [195][ 80/327] lr: 5.000000e-05 eta: 0:30:00 time: 0.353750 data_time: 0.032859 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.942963 2023/08/10 02:26:17 - mmengine - INFO - Epoch(train) [195][ 90/327] lr: 5.000000e-05 eta: 0:29:56 time: 0.351014 data_time: 0.033080 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.949963 2023/08/10 02:26:20 - mmengine - INFO - Epoch(train) [195][100/327] lr: 5.000000e-05 eta: 0:29:53 time: 0.351526 data_time: 0.033031 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.974117 2023/08/10 02:26:24 - mmengine - INFO - Epoch(train) [195][110/327] lr: 5.000000e-05 eta: 0:29:49 time: 0.351649 data_time: 0.032882 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.964594 2023/08/10 02:26:27 - mmengine - INFO - Epoch(train) [195][120/327] lr: 5.000000e-05 eta: 0:29:46 time: 0.357452 data_time: 0.033136 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.964594 2023/08/10 02:26:31 - mmengine - INFO - Epoch(train) [195][130/327] lr: 5.000000e-05 eta: 0:29:42 time: 0.358799 data_time: 0.032966 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.935884 2023/08/10 02:26:35 - mmengine - INFO - Epoch(train) [195][140/327] lr: 5.000000e-05 eta: 0:29:39 time: 0.361263 data_time: 0.032592 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.948130 2023/08/10 02:26:38 - mmengine - INFO - Epoch(train) [195][150/327] lr: 5.000000e-05 eta: 0:29:35 time: 0.361117 data_time: 0.032491 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.931006 2023/08/10 02:26:42 - mmengine - INFO - Epoch(train) [195][160/327] lr: 5.000000e-05 eta: 0:29:32 time: 0.359406 data_time: 0.032314 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.958852 2023/08/10 02:26:45 - mmengine - INFO - Epoch(train) [195][170/327] lr: 5.000000e-05 eta: 0:29:28 time: 0.354829 data_time: 0.031752 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.955881 2023/08/10 02:26:49 - mmengine - INFO - Epoch(train) [195][180/327] lr: 5.000000e-05 eta: 0:29:25 time: 0.351664 data_time: 0.031272 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.964263 2023/08/10 02:26:52 - mmengine - INFO - Epoch(train) [195][190/327] lr: 5.000000e-05 eta: 0:29:21 time: 0.355335 data_time: 0.034636 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.865872 2023/08/10 02:26:56 - mmengine - INFO - Epoch(train) [195][200/327] lr: 5.000000e-05 eta: 0:29:18 time: 0.360098 data_time: 0.035508 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.982759 2023/08/10 02:27:00 - mmengine - INFO - Epoch(train) [195][210/327] lr: 5.000000e-05 eta: 0:29:15 time: 0.362682 data_time: 0.036086 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.983333 2023/08/10 02:27:03 - mmengine - INFO - Epoch(train) [195][220/327] lr: 5.000000e-05 eta: 0:29:11 time: 0.359277 data_time: 0.036614 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.963884 2023/08/10 02:27:07 - mmengine - INFO - Epoch(train) [195][230/327] lr: 5.000000e-05 eta: 0:29:08 time: 0.359362 data_time: 0.036702 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.961379 2023/08/10 02:27:10 - mmengine - INFO - Epoch(train) [195][240/327] lr: 5.000000e-05 eta: 0:29:04 time: 0.356366 data_time: 0.034206 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.939347 2023/08/10 02:27:14 - mmengine - INFO - Epoch(train) [195][250/327] lr: 5.000000e-05 eta: 0:29:01 time: 0.354843 data_time: 0.033730 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.967742 2023/08/10 02:27:17 - mmengine - INFO - Epoch(train) [195][260/327] lr: 5.000000e-05 eta: 0:28:57 time: 0.354551 data_time: 0.033419 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.893568 2023/08/10 02:27:21 - mmengine - INFO - Epoch(train) [195][270/327] lr: 5.000000e-05 eta: 0:28:54 time: 0.356334 data_time: 0.032840 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.939881 2023/08/10 02:27:24 - mmengine - INFO - Epoch(train) [195][280/327] lr: 5.000000e-05 eta: 0:28:50 time: 0.354884 data_time: 0.032894 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.912254 2023/08/10 02:27:28 - mmengine - INFO - Epoch(train) [195][290/327] lr: 5.000000e-05 eta: 0:28:47 time: 0.353712 data_time: 0.033186 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.991935 2023/08/10 02:27:31 - mmengine - INFO - Epoch(train) [195][300/327] lr: 5.000000e-05 eta: 0:28:43 time: 0.352210 data_time: 0.034374 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.945365 2023/08/10 02:27:35 - mmengine - INFO - Epoch(train) [195][310/327] lr: 5.000000e-05 eta: 0:28:40 time: 0.354572 data_time: 0.034656 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.914864 2023/08/10 02:27:39 - mmengine - INFO - Epoch(train) [195][320/327] lr: 5.000000e-05 eta: 0:28:36 time: 0.355328 data_time: 0.035231 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.952136 2023/08/10 02:27:41 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:27:45 - mmengine - INFO - Epoch(train) [196][ 10/327] lr: 5.000000e-05 eta: 0:28:30 time: 0.357431 data_time: 0.037578 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.864378 2023/08/10 02:27:48 - mmengine - INFO - Epoch(train) [196][ 20/327] lr: 5.000000e-05 eta: 0:28:27 time: 0.355695 data_time: 0.036342 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.893338 2023/08/10 02:27:52 - mmengine - INFO - Epoch(train) [196][ 30/327] lr: 5.000000e-05 eta: 0:28:23 time: 0.352588 data_time: 0.036009 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.945009 2023/08/10 02:27:55 - mmengine - INFO - Epoch(train) [196][ 40/327] lr: 5.000000e-05 eta: 0:28:20 time: 0.350029 data_time: 0.035923 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.965517 2023/08/10 02:27:59 - mmengine - INFO - Epoch(train) [196][ 50/327] lr: 5.000000e-05 eta: 0:28:16 time: 0.351103 data_time: 0.036390 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.947051 2023/08/10 02:28:02 - mmengine - INFO - Epoch(train) [196][ 60/327] lr: 5.000000e-05 eta: 0:28:13 time: 0.350459 data_time: 0.032623 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.933333 2023/08/10 02:28:06 - mmengine - INFO - Epoch(train) [196][ 70/327] lr: 5.000000e-05 eta: 0:28:09 time: 0.356308 data_time: 0.032972 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.972884 2023/08/10 02:28:10 - mmengine - INFO - Epoch(train) [196][ 80/327] lr: 5.000000e-05 eta: 0:28:06 time: 0.363851 data_time: 0.032533 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.900417 2023/08/10 02:28:13 - mmengine - INFO - Epoch(train) [196][ 90/327] lr: 5.000000e-05 eta: 0:28:02 time: 0.362069 data_time: 0.032119 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.965683 2023/08/10 02:28:17 - mmengine - INFO - Epoch(train) [196][100/327] lr: 5.000000e-05 eta: 0:27:59 time: 0.362733 data_time: 0.032024 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.966609 2023/08/10 02:28:20 - mmengine - INFO - Epoch(train) [196][110/327] lr: 5.000000e-05 eta: 0:27:55 time: 0.361430 data_time: 0.031872 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.911649 2023/08/10 02:28:24 - mmengine - INFO - Epoch(train) [196][120/327] lr: 5.000000e-05 eta: 0:27:52 time: 0.355814 data_time: 0.031856 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.955973 2023/08/10 02:28:27 - mmengine - INFO - Epoch(train) [196][130/327] lr: 5.000000e-05 eta: 0:27:48 time: 0.347540 data_time: 0.031876 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.928195 2023/08/10 02:28:31 - mmengine - INFO - Epoch(train) [196][140/327] lr: 5.000000e-05 eta: 0:27:45 time: 0.347569 data_time: 0.031912 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.965209 2023/08/10 02:28:34 - mmengine - INFO - Epoch(train) [196][150/327] lr: 5.000000e-05 eta: 0:27:41 time: 0.345428 data_time: 0.031594 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.983602 2023/08/10 02:28:38 - mmengine - INFO - Epoch(train) [196][160/327] lr: 5.000000e-05 eta: 0:27:38 time: 0.342291 data_time: 0.031575 memory: 4563 loss: 0.000450 loss_kpt: 0.000450 acc_pose: 0.958602 2023/08/10 02:28:41 - mmengine - INFO - Epoch(train) [196][170/327] lr: 5.000000e-05 eta: 0:27:34 time: 0.340989 data_time: 0.031018 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.887655 2023/08/10 02:28:44 - mmengine - INFO - Epoch(train) [196][180/327] lr: 5.000000e-05 eta: 0:27:31 time: 0.340210 data_time: 0.030975 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.939228 2023/08/10 02:28:48 - mmengine - INFO - Epoch(train) [196][190/327] lr: 5.000000e-05 eta: 0:27:27 time: 0.340655 data_time: 0.030738 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.941529 2023/08/10 02:28:51 - mmengine - INFO - Epoch(train) [196][200/327] lr: 5.000000e-05 eta: 0:27:24 time: 0.342960 data_time: 0.031690 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.913982 2023/08/10 02:28:55 - mmengine - INFO - Epoch(train) [196][210/327] lr: 5.000000e-05 eta: 0:27:20 time: 0.346518 data_time: 0.034691 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.972792 2023/08/10 02:28:58 - mmengine - INFO - Epoch(train) [196][220/327] lr: 5.000000e-05 eta: 0:27:17 time: 0.347758 data_time: 0.034848 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.946052 2023/08/10 02:29:02 - mmengine - INFO - Epoch(train) [196][230/327] lr: 5.000000e-05 eta: 0:27:13 time: 0.349571 data_time: 0.034558 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.974713 2023/08/10 02:29:04 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:29:05 - mmengine - INFO - Epoch(train) [196][240/327] lr: 5.000000e-05 eta: 0:27:10 time: 0.351113 data_time: 0.034922 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.923851 2023/08/10 02:29:09 - mmengine - INFO - Epoch(train) [196][250/327] lr: 5.000000e-05 eta: 0:27:06 time: 0.350562 data_time: 0.034510 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.966071 2023/08/10 02:29:12 - mmengine - INFO - Epoch(train) [196][260/327] lr: 5.000000e-05 eta: 0:27:03 time: 0.347883 data_time: 0.031840 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.974612 2023/08/10 02:29:16 - mmengine - INFO - Epoch(train) [196][270/327] lr: 5.000000e-05 eta: 0:26:59 time: 0.349969 data_time: 0.032920 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.920385 2023/08/10 02:29:19 - mmengine - INFO - Epoch(train) [196][280/327] lr: 5.000000e-05 eta: 0:26:56 time: 0.348534 data_time: 0.032955 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.923610 2023/08/10 02:29:23 - mmengine - INFO - Epoch(train) [196][290/327] lr: 5.000000e-05 eta: 0:26:52 time: 0.346758 data_time: 0.032273 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.957759 2023/08/10 02:29:26 - mmengine - INFO - Epoch(train) [196][300/327] lr: 5.000000e-05 eta: 0:26:49 time: 0.346095 data_time: 0.031991 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.984375 2023/08/10 02:29:30 - mmengine - INFO - Epoch(train) [196][310/327] lr: 5.000000e-05 eta: 0:26:45 time: 0.346180 data_time: 0.031786 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.956876 2023/08/10 02:29:33 - mmengine - INFO - Epoch(train) [196][320/327] lr: 5.000000e-05 eta: 0:26:42 time: 0.346413 data_time: 0.031014 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.957393 2023/08/10 02:29:36 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:29:40 - mmengine - INFO - Epoch(train) [197][ 10/327] lr: 5.000000e-05 eta: 0:26:36 time: 0.357684 data_time: 0.034680 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.958333 2023/08/10 02:29:43 - mmengine - INFO - Epoch(train) [197][ 20/327] lr: 5.000000e-05 eta: 0:26:32 time: 0.357184 data_time: 0.034886 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.958565 2023/08/10 02:29:46 - mmengine - INFO - Epoch(train) [197][ 30/327] lr: 5.000000e-05 eta: 0:26:29 time: 0.355035 data_time: 0.034605 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.966935 2023/08/10 02:29:50 - mmengine - INFO - Epoch(train) [197][ 40/327] lr: 5.000000e-05 eta: 0:26:25 time: 0.354907 data_time: 0.037458 memory: 4563 loss: 0.000451 loss_kpt: 0.000451 acc_pose: 0.937358 2023/08/10 02:29:53 - mmengine - INFO - Epoch(train) [197][ 50/327] lr: 5.000000e-05 eta: 0:26:22 time: 0.347773 data_time: 0.038267 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.945648 2023/08/10 02:29:57 - mmengine - INFO - Epoch(train) [197][ 60/327] lr: 5.000000e-05 eta: 0:26:18 time: 0.339642 data_time: 0.034438 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.919792 2023/08/10 02:30:00 - mmengine - INFO - Epoch(train) [197][ 70/327] lr: 5.000000e-05 eta: 0:26:15 time: 0.349373 data_time: 0.034599 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.939964 2023/08/10 02:30:04 - mmengine - INFO - Epoch(train) [197][ 80/327] lr: 5.000000e-05 eta: 0:26:11 time: 0.352062 data_time: 0.034802 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.982451 2023/08/10 02:30:07 - mmengine - INFO - Epoch(train) [197][ 90/327] lr: 5.000000e-05 eta: 0:26:08 time: 0.351376 data_time: 0.031904 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.952873 2023/08/10 02:30:11 - mmengine - INFO - Epoch(train) [197][100/327] lr: 5.000000e-05 eta: 0:26:04 time: 0.350603 data_time: 0.031752 memory: 4563 loss: 0.000441 loss_kpt: 0.000441 acc_pose: 0.991071 2023/08/10 02:30:14 - mmengine - INFO - Epoch(train) [197][110/327] lr: 5.000000e-05 eta: 0:26:01 time: 0.348289 data_time: 0.031129 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.948417 2023/08/10 02:30:17 - mmengine - INFO - Epoch(train) [197][120/327] lr: 5.000000e-05 eta: 0:25:57 time: 0.340078 data_time: 0.030870 memory: 4563 loss: 0.000449 loss_kpt: 0.000449 acc_pose: 0.953830 2023/08/10 02:30:21 - mmengine - INFO - Epoch(train) [197][130/327] lr: 5.000000e-05 eta: 0:25:54 time: 0.340971 data_time: 0.031553 memory: 4563 loss: 0.000453 loss_kpt: 0.000453 acc_pose: 0.933871 2023/08/10 02:30:25 - mmengine - INFO - Epoch(train) [197][140/327] lr: 5.000000e-05 eta: 0:25:50 time: 0.343391 data_time: 0.032267 memory: 4563 loss: 0.000455 loss_kpt: 0.000455 acc_pose: 0.966071 2023/08/10 02:30:28 - mmengine - INFO - Epoch(train) [197][150/327] lr: 5.000000e-05 eta: 0:25:47 time: 0.346149 data_time: 0.032912 memory: 4563 loss: 0.000446 loss_kpt: 0.000446 acc_pose: 0.956477 2023/08/10 02:30:31 - mmengine - INFO - Epoch(train) [197][160/327] lr: 5.000000e-05 eta: 0:25:43 time: 0.346626 data_time: 0.033440 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.983333 2023/08/10 02:30:35 - mmengine - INFO - Epoch(train) [197][170/327] lr: 5.000000e-05 eta: 0:25:40 time: 0.345027 data_time: 0.033697 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.916965 2023/08/10 02:30:38 - mmengine - INFO - Epoch(train) [197][180/327] lr: 5.000000e-05 eta: 0:25:36 time: 0.341155 data_time: 0.032892 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.967051 2023/08/10 02:30:41 - mmengine - INFO - Epoch(train) [197][190/327] lr: 5.000000e-05 eta: 0:25:33 time: 0.336839 data_time: 0.032382 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.991935 2023/08/10 02:30:45 - mmengine - INFO - Epoch(train) [197][200/327] lr: 5.000000e-05 eta: 0:25:29 time: 0.335840 data_time: 0.031781 memory: 4563 loss: 0.000407 loss_kpt: 0.000407 acc_pose: 0.933565 2023/08/10 02:30:48 - mmengine - INFO - Epoch(train) [197][210/327] lr: 5.000000e-05 eta: 0:25:26 time: 0.335853 data_time: 0.031474 memory: 4563 loss: 0.000401 loss_kpt: 0.000401 acc_pose: 0.971065 2023/08/10 02:30:52 - mmengine - INFO - Epoch(train) [197][220/327] lr: 5.000000e-05 eta: 0:25:22 time: 0.340817 data_time: 0.031446 memory: 4563 loss: 0.000409 loss_kpt: 0.000409 acc_pose: 0.898185 2023/08/10 02:30:55 - mmengine - INFO - Epoch(train) [197][230/327] lr: 5.000000e-05 eta: 0:25:19 time: 0.340702 data_time: 0.031278 memory: 4563 loss: 0.000404 loss_kpt: 0.000404 acc_pose: 0.982143 2023/08/10 02:30:59 - mmengine - INFO - Epoch(train) [197][240/327] lr: 5.000000e-05 eta: 0:25:15 time: 0.342451 data_time: 0.031104 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.933218 2023/08/10 02:31:02 - mmengine - INFO - Epoch(train) [197][250/327] lr: 5.000000e-05 eta: 0:25:12 time: 0.341347 data_time: 0.031117 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.964550 2023/08/10 02:31:05 - mmengine - INFO - Epoch(train) [197][260/327] lr: 5.000000e-05 eta: 0:25:08 time: 0.344529 data_time: 0.031089 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.973522 2023/08/10 02:31:09 - mmengine - INFO - Epoch(train) [197][270/327] lr: 5.000000e-05 eta: 0:25:05 time: 0.340355 data_time: 0.031060 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.965000 2023/08/10 02:31:12 - mmengine - INFO - Epoch(train) [197][280/327] lr: 5.000000e-05 eta: 0:25:01 time: 0.342451 data_time: 0.031292 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.982451 2023/08/10 02:31:16 - mmengine - INFO - Epoch(train) [197][290/327] lr: 5.000000e-05 eta: 0:24:58 time: 0.347629 data_time: 0.031354 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.957720 2023/08/10 02:31:20 - mmengine - INFO - Epoch(train) [197][300/327] lr: 5.000000e-05 eta: 0:24:55 time: 0.357235 data_time: 0.031903 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.991667 2023/08/10 02:31:23 - mmengine - INFO - Epoch(train) [197][310/327] lr: 5.000000e-05 eta: 0:24:51 time: 0.354715 data_time: 0.031948 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.932184 2023/08/10 02:31:27 - mmengine - INFO - Epoch(train) [197][320/327] lr: 5.000000e-05 eta: 0:24:48 time: 0.354495 data_time: 0.031745 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.965497 2023/08/10 02:31:29 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:31:33 - mmengine - INFO - Epoch(train) [198][ 10/327] lr: 5.000000e-05 eta: 0:24:42 time: 0.353717 data_time: 0.035152 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.958584 2023/08/10 02:31:36 - mmengine - INFO - Epoch(train) [198][ 20/327] lr: 5.000000e-05 eta: 0:24:38 time: 0.347856 data_time: 0.035149 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.965754 2023/08/10 02:31:39 - mmengine - INFO - Epoch(train) [198][ 30/327] lr: 5.000000e-05 eta: 0:24:35 time: 0.346840 data_time: 0.034773 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.949554 2023/08/10 02:31:43 - mmengine - INFO - Epoch(train) [198][ 40/327] lr: 5.000000e-05 eta: 0:24:31 time: 0.348470 data_time: 0.034968 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.982143 2023/08/10 02:31:46 - mmengine - INFO - Epoch(train) [198][ 50/327] lr: 5.000000e-05 eta: 0:24:28 time: 0.349438 data_time: 0.035202 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.965414 2023/08/10 02:31:50 - mmengine - INFO - Epoch(train) [198][ 60/327] lr: 5.000000e-05 eta: 0:24:24 time: 0.346346 data_time: 0.031157 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.982451 2023/08/10 02:31:53 - mmengine - INFO - Epoch(train) [198][ 70/327] lr: 5.000000e-05 eta: 0:24:21 time: 0.345355 data_time: 0.030644 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.966609 2023/08/10 02:31:57 - mmengine - INFO - Epoch(train) [198][ 80/327] lr: 5.000000e-05 eta: 0:24:17 time: 0.348581 data_time: 0.033949 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.957184 2023/08/10 02:32:00 - mmengine - INFO - Epoch(train) [198][ 90/327] lr: 5.000000e-05 eta: 0:24:14 time: 0.350049 data_time: 0.034104 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.965476 2023/08/10 02:32:04 - mmengine - INFO - Epoch(train) [198][100/327] lr: 5.000000e-05 eta: 0:24:10 time: 0.352281 data_time: 0.034633 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.924996 2023/08/10 02:32:07 - mmengine - INFO - Epoch(train) [198][110/327] lr: 5.000000e-05 eta: 0:24:07 time: 0.350388 data_time: 0.034538 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.919521 2023/08/10 02:32:11 - mmengine - INFO - Epoch(train) [198][120/327] lr: 5.000000e-05 eta: 0:24:03 time: 0.349909 data_time: 0.034709 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.922414 2023/08/10 02:32:14 - mmengine - INFO - Epoch(train) [198][130/327] lr: 5.000000e-05 eta: 0:24:00 time: 0.345715 data_time: 0.031350 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.964881 2023/08/10 02:32:18 - mmengine - INFO - Epoch(train) [198][140/327] lr: 5.000000e-05 eta: 0:23:56 time: 0.345864 data_time: 0.031448 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.941898 2023/08/10 02:32:21 - mmengine - INFO - Epoch(train) [198][150/327] lr: 5.000000e-05 eta: 0:23:53 time: 0.344559 data_time: 0.031108 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.983046 2023/08/10 02:32:25 - mmengine - INFO - Epoch(train) [198][160/327] lr: 5.000000e-05 eta: 0:23:49 time: 0.345160 data_time: 0.031315 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.964009 2023/08/10 02:32:28 - mmengine - INFO - Epoch(train) [198][170/327] lr: 5.000000e-05 eta: 0:23:46 time: 0.346942 data_time: 0.031405 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.937349 2023/08/10 02:32:32 - mmengine - INFO - Epoch(train) [198][180/327] lr: 5.000000e-05 eta: 0:23:42 time: 0.347658 data_time: 0.031608 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.975269 2023/08/10 02:32:35 - mmengine - INFO - Epoch(train) [198][190/327] lr: 5.000000e-05 eta: 0:23:39 time: 0.347613 data_time: 0.031375 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.940786 2023/08/10 02:32:39 - mmengine - INFO - Epoch(train) [198][200/327] lr: 5.000000e-05 eta: 0:23:35 time: 0.348199 data_time: 0.031521 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.979708 2023/08/10 02:32:42 - mmengine - INFO - Epoch(train) [198][210/327] lr: 5.000000e-05 eta: 0:23:32 time: 0.350911 data_time: 0.031346 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.958565 2023/08/10 02:32:46 - mmengine - INFO - Epoch(train) [198][220/327] lr: 5.000000e-05 eta: 0:23:28 time: 0.350515 data_time: 0.031688 memory: 4563 loss: 0.000445 loss_kpt: 0.000445 acc_pose: 0.932759 2023/08/10 02:32:49 - mmengine - INFO - Epoch(train) [198][230/327] lr: 5.000000e-05 eta: 0:23:25 time: 0.352884 data_time: 0.031491 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.956260 2023/08/10 02:32:53 - mmengine - INFO - Epoch(train) [198][240/327] lr: 5.000000e-05 eta: 0:23:21 time: 0.355464 data_time: 0.034798 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.965390 2023/08/10 02:32:56 - mmengine - INFO - Epoch(train) [198][250/327] lr: 5.000000e-05 eta: 0:23:18 time: 0.354460 data_time: 0.034727 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.959013 2023/08/10 02:33:00 - mmengine - INFO - Epoch(train) [198][260/327] lr: 5.000000e-05 eta: 0:23:14 time: 0.350769 data_time: 0.034731 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.957759 2023/08/10 02:33:03 - mmengine - INFO - Epoch(train) [198][270/327] lr: 5.000000e-05 eta: 0:23:11 time: 0.348792 data_time: 0.033982 memory: 4563 loss: 0.000409 loss_kpt: 0.000409 acc_pose: 0.991379 2023/08/10 02:33:07 - mmengine - INFO - Epoch(train) [198][280/327] lr: 5.000000e-05 eta: 0:23:07 time: 0.345729 data_time: 0.034099 memory: 4563 loss: 0.000404 loss_kpt: 0.000404 acc_pose: 0.942750 2023/08/10 02:33:10 - mmengine - INFO - Epoch(train) [198][290/327] lr: 5.000000e-05 eta: 0:23:04 time: 0.344763 data_time: 0.030855 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.963907 2023/08/10 02:33:14 - mmengine - INFO - Epoch(train) [198][300/327] lr: 5.000000e-05 eta: 0:23:00 time: 0.348704 data_time: 0.031249 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.991379 2023/08/10 02:33:17 - mmengine - INFO - Epoch(train) [198][310/327] lr: 5.000000e-05 eta: 0:22:57 time: 0.354061 data_time: 0.031476 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.957619 2023/08/10 02:33:21 - mmengine - INFO - Epoch(train) [198][320/327] lr: 5.000000e-05 eta: 0:22:53 time: 0.355032 data_time: 0.031623 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.932990 2023/08/10 02:33:23 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:33:27 - mmengine - INFO - Epoch(train) [199][ 10/327] lr: 5.000000e-05 eta: 0:22:47 time: 0.356718 data_time: 0.034427 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.966071 2023/08/10 02:33:30 - mmengine - INFO - Epoch(train) [199][ 20/327] lr: 5.000000e-05 eta: 0:22:44 time: 0.355808 data_time: 0.034330 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.957412 2023/08/10 02:33:34 - mmengine - INFO - Epoch(train) [199][ 30/327] lr: 5.000000e-05 eta: 0:22:40 time: 0.354741 data_time: 0.033874 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.964240 2023/08/10 02:33:38 - mmengine - INFO - Epoch(train) [199][ 40/327] lr: 5.000000e-05 eta: 0:22:37 time: 0.353250 data_time: 0.034357 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.948148 2023/08/10 02:33:41 - mmengine - INFO - Epoch(train) [199][ 50/327] lr: 5.000000e-05 eta: 0:22:33 time: 0.355739 data_time: 0.035967 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.939695 2023/08/10 02:33:45 - mmengine - INFO - Epoch(train) [199][ 60/327] lr: 5.000000e-05 eta: 0:22:30 time: 0.358219 data_time: 0.032099 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.982451 2023/08/10 02:33:49 - mmengine - INFO - Epoch(train) [199][ 70/327] lr: 5.000000e-05 eta: 0:22:26 time: 0.365399 data_time: 0.035074 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.965352 2023/08/10 02:33:52 - mmengine - INFO - Epoch(train) [199][ 80/327] lr: 5.000000e-05 eta: 0:22:23 time: 0.367633 data_time: 0.035982 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.929670 2023/08/10 02:33:56 - mmengine - INFO - Epoch(train) [199][ 90/327] lr: 5.000000e-05 eta: 0:22:19 time: 0.369163 data_time: 0.036151 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.974405 2023/08/10 02:34:00 - mmengine - INFO - Epoch(train) [199][100/327] lr: 5.000000e-05 eta: 0:22:16 time: 0.370921 data_time: 0.035697 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.966322 2023/08/10 02:34:03 - mmengine - INFO - Epoch(train) [199][110/327] lr: 5.000000e-05 eta: 0:22:12 time: 0.370428 data_time: 0.035290 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.973148 2023/08/10 02:34:07 - mmengine - INFO - Epoch(train) [199][120/327] lr: 5.000000e-05 eta: 0:22:09 time: 0.360737 data_time: 0.032092 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.957589 2023/08/10 02:34:10 - mmengine - INFO - Epoch(train) [199][130/327] lr: 5.000000e-05 eta: 0:22:05 time: 0.353581 data_time: 0.031085 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.948950 2023/08/10 02:34:14 - mmengine - INFO - Epoch(train) [199][140/327] lr: 5.000000e-05 eta: 0:22:02 time: 0.350246 data_time: 0.030683 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.964879 2023/08/10 02:34:17 - mmengine - INFO - Epoch(train) [199][150/327] lr: 5.000000e-05 eta: 0:21:58 time: 0.348739 data_time: 0.030540 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.957259 2023/08/10 02:34:21 - mmengine - INFO - Epoch(train) [199][160/327] lr: 5.000000e-05 eta: 0:21:55 time: 0.342530 data_time: 0.030808 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.947660 2023/08/10 02:34:24 - mmengine - INFO - Epoch(train) [199][170/327] lr: 5.000000e-05 eta: 0:21:51 time: 0.346207 data_time: 0.030821 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.983602 2023/08/10 02:34:28 - mmengine - INFO - Epoch(train) [199][180/327] lr: 5.000000e-05 eta: 0:21:48 time: 0.348151 data_time: 0.031017 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.946714 2023/08/10 02:34:31 - mmengine - INFO - Epoch(train) [199][190/327] lr: 5.000000e-05 eta: 0:21:44 time: 0.348463 data_time: 0.030846 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.909987 2023/08/10 02:34:34 - mmengine - INFO - Epoch(train) [199][200/327] lr: 5.000000e-05 eta: 0:21:41 time: 0.347091 data_time: 0.030958 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.951379 2023/08/10 02:34:38 - mmengine - INFO - Epoch(train) [199][210/327] lr: 5.000000e-05 eta: 0:21:37 time: 0.345832 data_time: 0.030533 memory: 4563 loss: 0.000400 loss_kpt: 0.000400 acc_pose: 0.972505 2023/08/10 02:34:42 - mmengine - INFO - Epoch(train) [199][220/327] lr: 5.000000e-05 eta: 0:21:34 time: 0.349871 data_time: 0.030614 memory: 4563 loss: 0.000404 loss_kpt: 0.000404 acc_pose: 0.946071 2023/08/10 02:34:45 - mmengine - INFO - Epoch(train) [199][230/327] lr: 5.000000e-05 eta: 0:21:30 time: 0.349842 data_time: 0.030560 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.927824 2023/08/10 02:34:49 - mmengine - INFO - Epoch(train) [199][240/327] lr: 5.000000e-05 eta: 0:21:27 time: 0.352295 data_time: 0.030740 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.903646 2023/08/10 02:34:52 - mmengine - INFO - Epoch(train) [199][250/327] lr: 5.000000e-05 eta: 0:21:24 time: 0.352332 data_time: 0.030670 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.929757 2023/08/10 02:34:53 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:34:55 - mmengine - INFO - Epoch(train) [199][260/327] lr: 5.000000e-05 eta: 0:21:20 time: 0.352380 data_time: 0.030880 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.981125 2023/08/10 02:34:59 - mmengine - INFO - Epoch(train) [199][270/327] lr: 5.000000e-05 eta: 0:21:17 time: 0.345069 data_time: 0.030785 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.893915 2023/08/10 02:35:02 - mmengine - INFO - Epoch(train) [199][280/327] lr: 5.000000e-05 eta: 0:21:13 time: 0.343679 data_time: 0.030777 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.973810 2023/08/10 02:35:06 - mmengine - INFO - Epoch(train) [199][290/327] lr: 5.000000e-05 eta: 0:21:10 time: 0.341961 data_time: 0.030924 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.930357 2023/08/10 02:35:09 - mmengine - INFO - Epoch(train) [199][300/327] lr: 5.000000e-05 eta: 0:21:06 time: 0.342528 data_time: 0.031191 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.916234 2023/08/10 02:35:13 - mmengine - INFO - Epoch(train) [199][310/327] lr: 5.000000e-05 eta: 0:21:03 time: 0.348069 data_time: 0.034071 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.949425 2023/08/10 02:35:16 - mmengine - INFO - Epoch(train) [199][320/327] lr: 5.000000e-05 eta: 0:20:59 time: 0.348799 data_time: 0.034332 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.959677 2023/08/10 02:35:19 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:35:22 - mmengine - INFO - Epoch(train) [200][ 10/327] lr: 5.000000e-05 eta: 0:20:53 time: 0.350056 data_time: 0.036929 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.983315 2023/08/10 02:35:26 - mmengine - INFO - Epoch(train) [200][ 20/327] lr: 5.000000e-05 eta: 0:20:50 time: 0.355449 data_time: 0.036472 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.949963 2023/08/10 02:35:29 - mmengine - INFO - Epoch(train) [200][ 30/327] lr: 5.000000e-05 eta: 0:20:46 time: 0.349389 data_time: 0.033390 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.983046 2023/08/10 02:35:33 - mmengine - INFO - Epoch(train) [200][ 40/327] lr: 5.000000e-05 eta: 0:20:43 time: 0.349890 data_time: 0.033218 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.919751 2023/08/10 02:35:36 - mmengine - INFO - Epoch(train) [200][ 50/327] lr: 5.000000e-05 eta: 0:20:39 time: 0.351008 data_time: 0.034126 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.982143 2023/08/10 02:35:40 - mmengine - INFO - Epoch(train) [200][ 60/327] lr: 5.000000e-05 eta: 0:20:36 time: 0.351995 data_time: 0.033824 memory: 4563 loss: 0.000405 loss_kpt: 0.000405 acc_pose: 0.991667 2023/08/10 02:35:43 - mmengine - INFO - Epoch(train) [200][ 70/327] lr: 5.000000e-05 eta: 0:20:32 time: 0.345750 data_time: 0.034043 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.950519 2023/08/10 02:35:47 - mmengine - INFO - Epoch(train) [200][ 80/327] lr: 5.000000e-05 eta: 0:20:29 time: 0.346369 data_time: 0.034108 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.965352 2023/08/10 02:35:50 - mmengine - INFO - Epoch(train) [200][ 90/327] lr: 5.000000e-05 eta: 0:20:25 time: 0.345414 data_time: 0.034019 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.919074 2023/08/10 02:35:54 - mmengine - INFO - Epoch(train) [200][100/327] lr: 5.000000e-05 eta: 0:20:22 time: 0.348735 data_time: 0.034314 memory: 4563 loss: 0.000395 loss_kpt: 0.000395 acc_pose: 0.954981 2023/08/10 02:35:57 - mmengine - INFO - Epoch(train) [200][110/327] lr: 5.000000e-05 eta: 0:20:18 time: 0.345238 data_time: 0.030905 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.990741 2023/08/10 02:36:01 - mmengine - INFO - Epoch(train) [200][120/327] lr: 5.000000e-05 eta: 0:20:15 time: 0.347002 data_time: 0.031561 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.927630 2023/08/10 02:36:04 - mmengine - INFO - Epoch(train) [200][130/327] lr: 5.000000e-05 eta: 0:20:11 time: 0.348278 data_time: 0.031986 memory: 4563 loss: 0.000402 loss_kpt: 0.000402 acc_pose: 0.912378 2023/08/10 02:36:07 - mmengine - INFO - Epoch(train) [200][140/327] lr: 5.000000e-05 eta: 0:20:08 time: 0.345329 data_time: 0.032332 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.905214 2023/08/10 02:36:11 - mmengine - INFO - Epoch(train) [200][150/327] lr: 5.000000e-05 eta: 0:20:04 time: 0.339774 data_time: 0.031972 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.981812 2023/08/10 02:36:14 - mmengine - INFO - Epoch(train) [200][160/327] lr: 5.000000e-05 eta: 0:20:01 time: 0.340992 data_time: 0.032528 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.982120 2023/08/10 02:36:18 - mmengine - INFO - Epoch(train) [200][170/327] lr: 5.000000e-05 eta: 0:19:57 time: 0.341425 data_time: 0.032292 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.951344 2023/08/10 02:36:21 - mmengine - INFO - Epoch(train) [200][180/327] lr: 5.000000e-05 eta: 0:19:54 time: 0.344067 data_time: 0.032635 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.946337 2023/08/10 02:36:25 - mmengine - INFO - Epoch(train) [200][190/327] lr: 5.000000e-05 eta: 0:19:50 time: 0.347759 data_time: 0.033136 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.950211 2023/08/10 02:36:28 - mmengine - INFO - Epoch(train) [200][200/327] lr: 5.000000e-05 eta: 0:19:47 time: 0.350868 data_time: 0.033296 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.957451 2023/08/10 02:36:32 - mmengine - INFO - Epoch(train) [200][210/327] lr: 5.000000e-05 eta: 0:19:43 time: 0.349001 data_time: 0.032784 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.947974 2023/08/10 02:36:35 - mmengine - INFO - Epoch(train) [200][220/327] lr: 5.000000e-05 eta: 0:19:40 time: 0.349721 data_time: 0.032283 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.982451 2023/08/10 02:36:39 - mmengine - INFO - Epoch(train) [200][230/327] lr: 5.000000e-05 eta: 0:19:36 time: 0.347239 data_time: 0.031709 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.964571 2023/08/10 02:36:42 - mmengine - INFO - Epoch(train) [200][240/327] lr: 5.000000e-05 eta: 0:19:33 time: 0.346679 data_time: 0.031023 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.903571 2023/08/10 02:36:46 - mmengine - INFO - Epoch(train) [200][250/327] lr: 5.000000e-05 eta: 0:19:29 time: 0.346908 data_time: 0.031194 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.939879 2023/08/10 02:36:49 - mmengine - INFO - Epoch(train) [200][260/327] lr: 5.000000e-05 eta: 0:19:26 time: 0.347962 data_time: 0.031768 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.948235 2023/08/10 02:36:52 - mmengine - INFO - Epoch(train) [200][270/327] lr: 5.000000e-05 eta: 0:19:22 time: 0.343319 data_time: 0.032256 memory: 4563 loss: 0.000452 loss_kpt: 0.000452 acc_pose: 0.974713 2023/08/10 02:36:56 - mmengine - INFO - Epoch(train) [200][280/327] lr: 5.000000e-05 eta: 0:19:19 time: 0.343886 data_time: 0.035229 memory: 4563 loss: 0.000454 loss_kpt: 0.000454 acc_pose: 0.943351 2023/08/10 02:36:59 - mmengine - INFO - Epoch(train) [200][290/327] lr: 5.000000e-05 eta: 0:19:15 time: 0.341270 data_time: 0.035164 memory: 4563 loss: 0.000444 loss_kpt: 0.000444 acc_pose: 0.990741 2023/08/10 02:37:03 - mmengine - INFO - Epoch(train) [200][300/327] lr: 5.000000e-05 eta: 0:19:12 time: 0.339273 data_time: 0.035142 memory: 4563 loss: 0.000447 loss_kpt: 0.000447 acc_pose: 0.926996 2023/08/10 02:37:06 - mmengine - INFO - Epoch(train) [200][310/327] lr: 5.000000e-05 eta: 0:19:08 time: 0.338071 data_time: 0.035548 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.903834 2023/08/10 02:37:09 - mmengine - INFO - Epoch(train) [200][320/327] lr: 5.000000e-05 eta: 0:19:05 time: 0.339721 data_time: 0.035603 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.918625 2023/08/10 02:37:12 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:37:12 - mmengine - INFO - Saving checkpoint at 200 epochs 2023/08/10 02:37:18 - mmengine - INFO - Epoch(val) [200][10/79] eta: 0:00:14 time: 0.194804 data_time: 0.012611 memory: 4563 2023/08/10 02:37:20 - mmengine - INFO - Epoch(val) [200][20/79] eta: 0:00:11 time: 0.195021 data_time: 0.012824 memory: 1634 2023/08/10 02:37:22 - mmengine - INFO - Epoch(val) [200][30/79] eta: 0:00:09 time: 0.195099 data_time: 0.012943 memory: 1634 2023/08/10 02:37:24 - mmengine - INFO - Epoch(val) [200][40/79] eta: 0:00:07 time: 0.195335 data_time: 0.013088 memory: 1634 2023/08/10 02:37:26 - mmengine - INFO - Epoch(val) [200][50/79] eta: 0:00:05 time: 0.197367 data_time: 0.013242 memory: 1634 2023/08/10 02:37:28 - mmengine - INFO - Epoch(val) [200][60/79] eta: 0:00:03 time: 0.194891 data_time: 0.011322 memory: 1634 2023/08/10 02:37:30 - mmengine - INFO - Epoch(val) [200][70/79] eta: 0:00:01 time: 0.194915 data_time: 0.011237 memory: 1634 2023/08/10 02:37:31 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 02:37:31 - mmengine - INFO - Evaluating AUC... 2023/08/10 02:37:32 - mmengine - INFO - Evaluating EPE... 2023/08/10 02:37:32 - mmengine - INFO - Epoch(val) [200][79/79] PCK: 0.979819 AUC: 0.760140 EPE: 8.630921 data_time: 0.012488 time: 0.194185 2023/08/10 02:37:35 - mmengine - INFO - Epoch(train) [201][ 10/327] lr: 5.000000e-06 eta: 0:18:59 time: 0.343845 data_time: 0.037061 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.959140 2023/08/10 02:37:39 - mmengine - INFO - Epoch(train) [201][ 20/327] lr: 5.000000e-06 eta: 0:18:55 time: 0.346102 data_time: 0.038107 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.902604 2023/08/10 02:37:42 - mmengine - INFO - Epoch(train) [201][ 30/327] lr: 5.000000e-06 eta: 0:18:52 time: 0.346525 data_time: 0.037808 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.976310 2023/08/10 02:37:46 - mmengine - INFO - Epoch(train) [201][ 40/327] lr: 5.000000e-06 eta: 0:18:48 time: 0.348055 data_time: 0.040605 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.965189 2023/08/10 02:37:49 - mmengine - INFO - Epoch(train) [201][ 50/327] lr: 5.000000e-06 eta: 0:18:45 time: 0.347446 data_time: 0.040134 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.964523 2023/08/10 02:37:52 - mmengine - INFO - Epoch(train) [201][ 60/327] lr: 5.000000e-06 eta: 0:18:41 time: 0.341219 data_time: 0.035680 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.900132 2023/08/10 02:37:56 - mmengine - INFO - Epoch(train) [201][ 70/327] lr: 5.000000e-06 eta: 0:18:38 time: 0.340715 data_time: 0.035167 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.966092 2023/08/10 02:38:00 - mmengine - INFO - Epoch(train) [201][ 80/327] lr: 5.000000e-06 eta: 0:18:34 time: 0.347908 data_time: 0.035100 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.975269 2023/08/10 02:38:03 - mmengine - INFO - Epoch(train) [201][ 90/327] lr: 5.000000e-06 eta: 0:18:31 time: 0.347787 data_time: 0.032652 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.983567 2023/08/10 02:38:06 - mmengine - INFO - Epoch(train) [201][100/327] lr: 5.000000e-06 eta: 0:18:27 time: 0.348209 data_time: 0.033092 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.974425 2023/08/10 02:38:10 - mmengine - INFO - Epoch(train) [201][110/327] lr: 5.000000e-06 eta: 0:18:24 time: 0.347436 data_time: 0.032986 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.957945 2023/08/10 02:38:13 - mmengine - INFO - Epoch(train) [201][120/327] lr: 5.000000e-06 eta: 0:18:20 time: 0.346417 data_time: 0.032562 memory: 4563 loss: 0.000393 loss_kpt: 0.000393 acc_pose: 0.947044 2023/08/10 02:38:17 - mmengine - INFO - Epoch(train) [201][130/327] lr: 5.000000e-06 eta: 0:18:17 time: 0.337584 data_time: 0.032175 memory: 4563 loss: 0.000393 loss_kpt: 0.000393 acc_pose: 0.932703 2023/08/10 02:38:20 - mmengine - INFO - Epoch(train) [201][140/327] lr: 5.000000e-06 eta: 0:18:13 time: 0.340616 data_time: 0.031461 memory: 4563 loss: 0.000401 loss_kpt: 0.000401 acc_pose: 0.965517 2023/08/10 02:38:24 - mmengine - INFO - Epoch(train) [201][150/327] lr: 5.000000e-06 eta: 0:18:10 time: 0.343104 data_time: 0.031438 memory: 4563 loss: 0.000407 loss_kpt: 0.000407 acc_pose: 0.974425 2023/08/10 02:38:27 - mmengine - INFO - Epoch(train) [201][160/327] lr: 5.000000e-06 eta: 0:18:06 time: 0.348148 data_time: 0.034507 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.966667 2023/08/10 02:38:31 - mmengine - INFO - Epoch(train) [201][170/327] lr: 5.000000e-06 eta: 0:18:03 time: 0.347652 data_time: 0.034297 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.965991 2023/08/10 02:38:34 - mmengine - INFO - Epoch(train) [201][180/327] lr: 5.000000e-06 eta: 0:17:59 time: 0.347773 data_time: 0.034017 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.980741 2023/08/10 02:38:37 - mmengine - INFO - Epoch(train) [201][190/327] lr: 5.000000e-06 eta: 0:17:56 time: 0.344725 data_time: 0.036677 memory: 4563 loss: 0.000389 loss_kpt: 0.000389 acc_pose: 0.957288 2023/08/10 02:38:41 - mmengine - INFO - Epoch(train) [201][200/327] lr: 5.000000e-06 eta: 0:17:52 time: 0.343736 data_time: 0.036626 memory: 4563 loss: 0.000396 loss_kpt: 0.000396 acc_pose: 0.896935 2023/08/10 02:38:44 - mmengine - INFO - Epoch(train) [201][210/327] lr: 5.000000e-06 eta: 0:17:49 time: 0.339075 data_time: 0.033868 memory: 4563 loss: 0.000407 loss_kpt: 0.000407 acc_pose: 0.956458 2023/08/10 02:38:48 - mmengine - INFO - Epoch(train) [201][220/327] lr: 5.000000e-06 eta: 0:17:45 time: 0.342972 data_time: 0.034460 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.912110 2023/08/10 02:38:51 - mmengine - INFO - Epoch(train) [201][230/327] lr: 5.000000e-06 eta: 0:17:42 time: 0.347569 data_time: 0.034945 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.940230 2023/08/10 02:38:55 - mmengine - INFO - Epoch(train) [201][240/327] lr: 5.000000e-06 eta: 0:17:38 time: 0.344730 data_time: 0.032051 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.956281 2023/08/10 02:38:58 - mmengine - INFO - Epoch(train) [201][250/327] lr: 5.000000e-06 eta: 0:17:35 time: 0.344117 data_time: 0.031798 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.948851 2023/08/10 02:39:01 - mmengine - INFO - Epoch(train) [201][260/327] lr: 5.000000e-06 eta: 0:17:31 time: 0.343474 data_time: 0.031473 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.982738 2023/08/10 02:39:05 - mmengine - INFO - Epoch(train) [201][270/327] lr: 5.000000e-06 eta: 0:17:28 time: 0.339802 data_time: 0.031325 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.948830 2023/08/10 02:39:08 - mmengine - INFO - Epoch(train) [201][280/327] lr: 5.000000e-06 eta: 0:17:24 time: 0.339542 data_time: 0.031042 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.948522 2023/08/10 02:39:12 - mmengine - INFO - Epoch(train) [201][290/327] lr: 5.000000e-06 eta: 0:17:21 time: 0.341061 data_time: 0.031275 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.912378 2023/08/10 02:39:15 - mmengine - INFO - Epoch(train) [201][300/327] lr: 5.000000e-06 eta: 0:17:17 time: 0.341595 data_time: 0.031361 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.942723 2023/08/10 02:39:19 - mmengine - INFO - Epoch(train) [201][310/327] lr: 5.000000e-06 eta: 0:17:14 time: 0.347910 data_time: 0.031330 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.974425 2023/08/10 02:39:22 - mmengine - INFO - Epoch(train) [201][320/327] lr: 5.000000e-06 eta: 0:17:10 time: 0.348991 data_time: 0.030885 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.983046 2023/08/10 02:39:25 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:39:29 - mmengine - INFO - Epoch(train) [202][ 10/327] lr: 5.000000e-06 eta: 0:17:04 time: 0.362209 data_time: 0.034854 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.983046 2023/08/10 02:39:32 - mmengine - INFO - Epoch(train) [202][ 20/327] lr: 5.000000e-06 eta: 0:17:01 time: 0.362752 data_time: 0.035041 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.965385 2023/08/10 02:39:36 - mmengine - INFO - Epoch(train) [202][ 30/327] lr: 5.000000e-06 eta: 0:16:57 time: 0.362429 data_time: 0.035422 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.952225 2023/08/10 02:39:39 - mmengine - INFO - Epoch(train) [202][ 40/327] lr: 5.000000e-06 eta: 0:16:54 time: 0.364717 data_time: 0.035690 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.931071 2023/08/10 02:39:43 - mmengine - INFO - Epoch(train) [202][ 50/327] lr: 5.000000e-06 eta: 0:16:50 time: 0.361361 data_time: 0.036357 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.909473 2023/08/10 02:39:46 - mmengine - INFO - Epoch(train) [202][ 60/327] lr: 5.000000e-06 eta: 0:16:47 time: 0.349419 data_time: 0.031868 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.956589 2023/08/10 02:39:50 - mmengine - INFO - Epoch(train) [202][ 70/327] lr: 5.000000e-06 eta: 0:16:43 time: 0.349019 data_time: 0.031858 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.913732 2023/08/10 02:39:53 - mmengine - INFO - Epoch(train) [202][ 80/327] lr: 5.000000e-06 eta: 0:16:40 time: 0.345165 data_time: 0.031555 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.991379 2023/08/10 02:39:57 - mmengine - INFO - Epoch(train) [202][ 90/327] lr: 5.000000e-06 eta: 0:16:36 time: 0.346555 data_time: 0.031350 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.942824 2023/08/10 02:40:00 - mmengine - INFO - Epoch(train) [202][100/327] lr: 5.000000e-06 eta: 0:16:33 time: 0.347505 data_time: 0.031687 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.966648 2023/08/10 02:40:04 - mmengine - INFO - Epoch(train) [202][110/327] lr: 5.000000e-06 eta: 0:16:29 time: 0.349379 data_time: 0.031525 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.992188 2023/08/10 02:40:07 - mmengine - INFO - Epoch(train) [202][120/327] lr: 5.000000e-06 eta: 0:16:26 time: 0.348064 data_time: 0.031429 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.963624 2023/08/10 02:40:11 - mmengine - INFO - Epoch(train) [202][130/327] lr: 5.000000e-06 eta: 0:16:22 time: 0.350543 data_time: 0.035263 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.965127 2023/08/10 02:40:14 - mmengine - INFO - Epoch(train) [202][140/327] lr: 5.000000e-06 eta: 0:16:19 time: 0.347900 data_time: 0.035211 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.922828 2023/08/10 02:40:17 - mmengine - INFO - Epoch(train) [202][150/327] lr: 5.000000e-06 eta: 0:16:15 time: 0.344234 data_time: 0.034837 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.937569 2023/08/10 02:40:21 - mmengine - INFO - Epoch(train) [202][160/327] lr: 5.000000e-06 eta: 0:16:12 time: 0.340558 data_time: 0.035091 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.929981 2023/08/10 02:40:24 - mmengine - INFO - Epoch(train) [202][170/327] lr: 5.000000e-06 eta: 0:16:09 time: 0.342115 data_time: 0.035225 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.930097 2023/08/10 02:40:28 - mmengine - INFO - Epoch(train) [202][180/327] lr: 5.000000e-06 eta: 0:16:05 time: 0.337051 data_time: 0.031804 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.991667 2023/08/10 02:40:31 - mmengine - INFO - Epoch(train) [202][190/327] lr: 5.000000e-06 eta: 0:16:01 time: 0.335012 data_time: 0.031735 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.919425 2023/08/10 02:40:34 - mmengine - INFO - Epoch(train) [202][200/327] lr: 5.000000e-06 eta: 0:15:58 time: 0.334849 data_time: 0.032058 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.930396 2023/08/10 02:40:38 - mmengine - INFO - Epoch(train) [202][210/327] lr: 5.000000e-06 eta: 0:15:54 time: 0.337138 data_time: 0.031642 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.925000 2023/08/10 02:40:41 - mmengine - INFO - Epoch(train) [202][220/327] lr: 5.000000e-06 eta: 0:15:51 time: 0.336222 data_time: 0.031163 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.939655 2023/08/10 02:40:44 - mmengine - INFO - Epoch(train) [202][230/327] lr: 5.000000e-06 eta: 0:15:48 time: 0.336723 data_time: 0.030749 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.975269 2023/08/10 02:40:48 - mmengine - INFO - Epoch(train) [202][240/327] lr: 5.000000e-06 eta: 0:15:44 time: 0.338494 data_time: 0.030939 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.943263 2023/08/10 02:40:51 - mmengine - INFO - Epoch(train) [202][250/327] lr: 5.000000e-06 eta: 0:15:41 time: 0.338657 data_time: 0.031028 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.948752 2023/08/10 02:40:55 - mmengine - INFO - Epoch(train) [202][260/327] lr: 5.000000e-06 eta: 0:15:37 time: 0.339133 data_time: 0.034404 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.933046 2023/08/10 02:40:58 - mmengine - INFO - Epoch(train) [202][270/327] lr: 5.000000e-06 eta: 0:15:34 time: 0.338237 data_time: 0.034365 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.958027 2023/08/10 02:40:59 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:41:01 - mmengine - INFO - Epoch(train) [202][280/327] lr: 5.000000e-06 eta: 0:15:30 time: 0.340828 data_time: 0.037379 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.939039 2023/08/10 02:41:05 - mmengine - INFO - Epoch(train) [202][290/327] lr: 5.000000e-06 eta: 0:15:27 time: 0.340855 data_time: 0.037267 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.952686 2023/08/10 02:41:08 - mmengine - INFO - Epoch(train) [202][300/327] lr: 5.000000e-06 eta: 0:15:23 time: 0.343421 data_time: 0.037549 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.872619 2023/08/10 02:41:12 - mmengine - INFO - Epoch(train) [202][310/327] lr: 5.000000e-06 eta: 0:15:20 time: 0.344251 data_time: 0.034554 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.939239 2023/08/10 02:41:15 - mmengine - INFO - Epoch(train) [202][320/327] lr: 5.000000e-06 eta: 0:15:16 time: 0.343341 data_time: 0.034475 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.942791 2023/08/10 02:41:17 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:41:21 - mmengine - INFO - Epoch(train) [203][ 10/327] lr: 5.000000e-06 eta: 0:15:10 time: 0.349003 data_time: 0.036725 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.965209 2023/08/10 02:41:25 - mmengine - INFO - Epoch(train) [203][ 20/327] lr: 5.000000e-06 eta: 0:15:07 time: 0.356227 data_time: 0.036768 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.953869 2023/08/10 02:41:29 - mmengine - INFO - Epoch(train) [203][ 30/327] lr: 5.000000e-06 eta: 0:15:03 time: 0.357343 data_time: 0.036684 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.946358 2023/08/10 02:41:32 - mmengine - INFO - Epoch(train) [203][ 40/327] lr: 5.000000e-06 eta: 0:15:00 time: 0.358873 data_time: 0.036733 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.957184 2023/08/10 02:41:36 - mmengine - INFO - Epoch(train) [203][ 50/327] lr: 5.000000e-06 eta: 0:14:56 time: 0.364829 data_time: 0.037589 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.958813 2023/08/10 02:41:39 - mmengine - INFO - Epoch(train) [203][ 60/327] lr: 5.000000e-06 eta: 0:14:53 time: 0.356736 data_time: 0.032009 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.949405 2023/08/10 02:41:43 - mmengine - INFO - Epoch(train) [203][ 70/327] lr: 5.000000e-06 eta: 0:14:49 time: 0.349806 data_time: 0.031475 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.924944 2023/08/10 02:41:46 - mmengine - INFO - Epoch(train) [203][ 80/327] lr: 5.000000e-06 eta: 0:14:46 time: 0.346876 data_time: 0.031247 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.973431 2023/08/10 02:41:50 - mmengine - INFO - Epoch(train) [203][ 90/327] lr: 5.000000e-06 eta: 0:14:42 time: 0.346804 data_time: 0.031486 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.983602 2023/08/10 02:41:53 - mmengine - INFO - Epoch(train) [203][100/327] lr: 5.000000e-06 eta: 0:14:39 time: 0.349544 data_time: 0.031763 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.967188 2023/08/10 02:41:57 - mmengine - INFO - Epoch(train) [203][110/327] lr: 5.000000e-06 eta: 0:14:35 time: 0.349633 data_time: 0.031697 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.981812 2023/08/10 02:42:00 - mmengine - INFO - Epoch(train) [203][120/327] lr: 5.000000e-06 eta: 0:14:32 time: 0.351071 data_time: 0.032336 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.974674 2023/08/10 02:42:04 - mmengine - INFO - Epoch(train) [203][130/327] lr: 5.000000e-06 eta: 0:14:28 time: 0.352785 data_time: 0.032615 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.966878 2023/08/10 02:42:07 - mmengine - INFO - Epoch(train) [203][140/327] lr: 5.000000e-06 eta: 0:14:25 time: 0.354678 data_time: 0.032773 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.955189 2023/08/10 02:42:11 - mmengine - INFO - Epoch(train) [203][150/327] lr: 5.000000e-06 eta: 0:14:21 time: 0.351640 data_time: 0.032751 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.910954 2023/08/10 02:42:14 - mmengine - INFO - Epoch(train) [203][160/327] lr: 5.000000e-06 eta: 0:14:18 time: 0.352071 data_time: 0.032792 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.983602 2023/08/10 02:42:18 - mmengine - INFO - Epoch(train) [203][170/327] lr: 5.000000e-06 eta: 0:14:14 time: 0.353516 data_time: 0.032383 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.929965 2023/08/10 02:42:21 - mmengine - INFO - Epoch(train) [203][180/327] lr: 5.000000e-06 eta: 0:14:11 time: 0.352350 data_time: 0.032394 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.956545 2023/08/10 02:42:25 - mmengine - INFO - Epoch(train) [203][190/327] lr: 5.000000e-06 eta: 0:14:07 time: 0.352701 data_time: 0.032407 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.918532 2023/08/10 02:42:28 - mmengine - INFO - Epoch(train) [203][200/327] lr: 5.000000e-06 eta: 0:14:04 time: 0.350847 data_time: 0.032005 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.964286 2023/08/10 02:42:32 - mmengine - INFO - Epoch(train) [203][210/327] lr: 5.000000e-06 eta: 0:14:00 time: 0.352339 data_time: 0.032206 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.952581 2023/08/10 02:42:36 - mmengine - INFO - Epoch(train) [203][220/327] lr: 5.000000e-06 eta: 0:13:57 time: 0.357120 data_time: 0.033299 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.906021 2023/08/10 02:42:39 - mmengine - INFO - Epoch(train) [203][230/327] lr: 5.000000e-06 eta: 0:13:53 time: 0.361970 data_time: 0.033515 memory: 4563 loss: 0.000409 loss_kpt: 0.000409 acc_pose: 0.982120 2023/08/10 02:42:43 - mmengine - INFO - Epoch(train) [203][240/327] lr: 5.000000e-06 eta: 0:13:50 time: 0.363804 data_time: 0.034065 memory: 4563 loss: 0.000392 loss_kpt: 0.000392 acc_pose: 0.982320 2023/08/10 02:42:47 - mmengine - INFO - Epoch(train) [203][250/327] lr: 5.000000e-06 eta: 0:13:46 time: 0.365805 data_time: 0.034579 memory: 4563 loss: 0.000387 loss_kpt: 0.000387 acc_pose: 0.959491 2023/08/10 02:42:50 - mmengine - INFO - Epoch(train) [203][260/327] lr: 5.000000e-06 eta: 0:13:43 time: 0.366895 data_time: 0.034356 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.982759 2023/08/10 02:42:54 - mmengine - INFO - Epoch(train) [203][270/327] lr: 5.000000e-06 eta: 0:13:39 time: 0.361160 data_time: 0.032899 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.966092 2023/08/10 02:42:58 - mmengine - INFO - Epoch(train) [203][280/327] lr: 5.000000e-06 eta: 0:13:36 time: 0.362140 data_time: 0.033580 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.966947 2023/08/10 02:43:01 - mmengine - INFO - Epoch(train) [203][290/327] lr: 5.000000e-06 eta: 0:13:32 time: 0.358085 data_time: 0.032835 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.939739 2023/08/10 02:43:05 - mmengine - INFO - Epoch(train) [203][300/327] lr: 5.000000e-06 eta: 0:13:29 time: 0.356654 data_time: 0.032469 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.914922 2023/08/10 02:43:08 - mmengine - INFO - Epoch(train) [203][310/327] lr: 5.000000e-06 eta: 0:13:25 time: 0.357552 data_time: 0.033084 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.948214 2023/08/10 02:43:12 - mmengine - INFO - Epoch(train) [203][320/327] lr: 5.000000e-06 eta: 0:13:22 time: 0.357857 data_time: 0.033477 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.959929 2023/08/10 02:43:14 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:43:18 - mmengine - INFO - Epoch(train) [204][ 10/327] lr: 5.000000e-06 eta: 0:13:16 time: 0.352428 data_time: 0.036060 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.959392 2023/08/10 02:43:21 - mmengine - INFO - Epoch(train) [204][ 20/327] lr: 5.000000e-06 eta: 0:13:12 time: 0.352596 data_time: 0.035925 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.982407 2023/08/10 02:43:25 - mmengine - INFO - Epoch(train) [204][ 30/327] lr: 5.000000e-06 eta: 0:13:09 time: 0.355157 data_time: 0.039241 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.981812 2023/08/10 02:43:28 - mmengine - INFO - Epoch(train) [204][ 40/327] lr: 5.000000e-06 eta: 0:13:05 time: 0.352920 data_time: 0.038380 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.964123 2023/08/10 02:43:32 - mmengine - INFO - Epoch(train) [204][ 50/327] lr: 5.000000e-06 eta: 0:13:02 time: 0.354171 data_time: 0.039549 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.903414 2023/08/10 02:43:35 - mmengine - INFO - Epoch(train) [204][ 60/327] lr: 5.000000e-06 eta: 0:12:58 time: 0.355885 data_time: 0.035482 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.972527 2023/08/10 02:43:39 - mmengine - INFO - Epoch(train) [204][ 70/327] lr: 5.000000e-06 eta: 0:12:55 time: 0.363155 data_time: 0.036357 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.958800 2023/08/10 02:43:43 - mmengine - INFO - Epoch(train) [204][ 80/327] lr: 5.000000e-06 eta: 0:12:51 time: 0.366858 data_time: 0.033034 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.948772 2023/08/10 02:43:47 - mmengine - INFO - Epoch(train) [204][ 90/327] lr: 5.000000e-06 eta: 0:12:48 time: 0.366202 data_time: 0.033247 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.955482 2023/08/10 02:43:50 - mmengine - INFO - Epoch(train) [204][100/327] lr: 5.000000e-06 eta: 0:12:44 time: 0.366173 data_time: 0.032636 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.945922 2023/08/10 02:43:53 - mmengine - INFO - Epoch(train) [204][110/327] lr: 5.000000e-06 eta: 0:12:41 time: 0.360284 data_time: 0.032481 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.964550 2023/08/10 02:43:57 - mmengine - INFO - Epoch(train) [204][120/327] lr: 5.000000e-06 eta: 0:12:37 time: 0.352021 data_time: 0.031309 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.965497 2023/08/10 02:44:00 - mmengine - INFO - Epoch(train) [204][130/327] lr: 5.000000e-06 eta: 0:12:34 time: 0.343248 data_time: 0.031212 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.957163 2023/08/10 02:44:04 - mmengine - INFO - Epoch(train) [204][140/327] lr: 5.000000e-06 eta: 0:12:30 time: 0.343280 data_time: 0.031057 memory: 4563 loss: 0.000403 loss_kpt: 0.000403 acc_pose: 0.964240 2023/08/10 02:44:07 - mmengine - INFO - Epoch(train) [204][150/327] lr: 5.000000e-06 eta: 0:12:27 time: 0.347883 data_time: 0.031968 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.958046 2023/08/10 02:44:11 - mmengine - INFO - Epoch(train) [204][160/327] lr: 5.000000e-06 eta: 0:12:24 time: 0.352704 data_time: 0.033136 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.958333 2023/08/10 02:44:15 - mmengine - INFO - Epoch(train) [204][170/327] lr: 5.000000e-06 eta: 0:12:20 time: 0.355627 data_time: 0.034020 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.956221 2023/08/10 02:44:18 - mmengine - INFO - Epoch(train) [204][180/327] lr: 5.000000e-06 eta: 0:12:17 time: 0.359402 data_time: 0.037222 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.966667 2023/08/10 02:44:22 - mmengine - INFO - Epoch(train) [204][190/327] lr: 5.000000e-06 eta: 0:12:13 time: 0.361290 data_time: 0.037513 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.991379 2023/08/10 02:44:25 - mmengine - INFO - Epoch(train) [204][200/327] lr: 5.000000e-06 eta: 0:12:10 time: 0.358393 data_time: 0.037258 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.975000 2023/08/10 02:44:29 - mmengine - INFO - Epoch(train) [204][210/327] lr: 5.000000e-06 eta: 0:12:06 time: 0.352757 data_time: 0.036000 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.964901 2023/08/10 02:44:32 - mmengine - INFO - Epoch(train) [204][220/327] lr: 5.000000e-06 eta: 0:12:03 time: 0.351600 data_time: 0.035751 memory: 4563 loss: 0.000442 loss_kpt: 0.000442 acc_pose: 0.943192 2023/08/10 02:44:36 - mmengine - INFO - Epoch(train) [204][230/327] lr: 5.000000e-06 eta: 0:11:59 time: 0.349501 data_time: 0.032657 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.951488 2023/08/10 02:44:39 - mmengine - INFO - Epoch(train) [204][240/327] lr: 5.000000e-06 eta: 0:11:56 time: 0.350374 data_time: 0.032733 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.991935 2023/08/10 02:44:43 - mmengine - INFO - Epoch(train) [204][250/327] lr: 5.000000e-06 eta: 0:11:52 time: 0.349524 data_time: 0.032155 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.929472 2023/08/10 02:44:46 - mmengine - INFO - Epoch(train) [204][260/327] lr: 5.000000e-06 eta: 0:11:49 time: 0.352216 data_time: 0.032147 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.991667 2023/08/10 02:44:50 - mmengine - INFO - Epoch(train) [204][270/327] lr: 5.000000e-06 eta: 0:11:45 time: 0.353700 data_time: 0.032484 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.991667 2023/08/10 02:44:53 - mmengine - INFO - Epoch(train) [204][280/327] lr: 5.000000e-06 eta: 0:11:42 time: 0.352283 data_time: 0.032564 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.879536 2023/08/10 02:44:57 - mmengine - INFO - Epoch(train) [204][290/327] lr: 5.000000e-06 eta: 0:11:38 time: 0.351348 data_time: 0.032656 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.938889 2023/08/10 02:45:01 - mmengine - INFO - Epoch(train) [204][300/327] lr: 5.000000e-06 eta: 0:11:35 time: 0.353079 data_time: 0.033026 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.930040 2023/08/10 02:45:04 - mmengine - INFO - Epoch(train) [204][310/327] lr: 5.000000e-06 eta: 0:11:31 time: 0.353156 data_time: 0.033511 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.966092 2023/08/10 02:45:08 - mmengine - INFO - Epoch(train) [204][320/327] lr: 5.000000e-06 eta: 0:11:28 time: 0.356357 data_time: 0.036674 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.955619 2023/08/10 02:45:10 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:45:14 - mmengine - INFO - Epoch(train) [205][ 10/327] lr: 5.000000e-06 eta: 0:11:22 time: 0.358375 data_time: 0.039744 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.968750 2023/08/10 02:45:17 - mmengine - INFO - Epoch(train) [205][ 20/327] lr: 5.000000e-06 eta: 0:11:18 time: 0.356422 data_time: 0.040381 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.892516 2023/08/10 02:45:21 - mmengine - INFO - Epoch(train) [205][ 30/327] lr: 5.000000e-06 eta: 0:11:15 time: 0.354782 data_time: 0.040136 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.955861 2023/08/10 02:45:24 - mmengine - INFO - Epoch(train) [205][ 40/327] lr: 5.000000e-06 eta: 0:11:11 time: 0.349488 data_time: 0.036415 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.974942 2023/08/10 02:45:28 - mmengine - INFO - Epoch(train) [205][ 50/327] lr: 5.000000e-06 eta: 0:11:08 time: 0.348213 data_time: 0.036954 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.956281 2023/08/10 02:45:31 - mmengine - INFO - Epoch(train) [205][ 60/327] lr: 5.000000e-06 eta: 0:11:04 time: 0.344494 data_time: 0.032503 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.921111 2023/08/10 02:45:35 - mmengine - INFO - Epoch(train) [205][ 70/327] lr: 5.000000e-06 eta: 0:11:01 time: 0.346249 data_time: 0.031955 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.946112 2023/08/10 02:45:38 - mmengine - INFO - Epoch(train) [205][ 80/327] lr: 5.000000e-06 eta: 0:10:57 time: 0.346754 data_time: 0.031746 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.921548 2023/08/10 02:45:42 - mmengine - INFO - Epoch(train) [205][ 90/327] lr: 5.000000e-06 eta: 0:10:54 time: 0.351583 data_time: 0.032678 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.952352 2023/08/10 02:45:45 - mmengine - INFO - Epoch(train) [205][100/327] lr: 5.000000e-06 eta: 0:10:50 time: 0.356522 data_time: 0.033459 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.932280 2023/08/10 02:45:49 - mmengine - INFO - Epoch(train) [205][110/327] lr: 5.000000e-06 eta: 0:10:47 time: 0.356138 data_time: 0.034355 memory: 4563 loss: 0.000399 loss_kpt: 0.000399 acc_pose: 0.958567 2023/08/10 02:45:53 - mmengine - INFO - Epoch(train) [205][120/327] lr: 5.000000e-06 eta: 0:10:43 time: 0.362231 data_time: 0.034992 memory: 4563 loss: 0.000394 loss_kpt: 0.000394 acc_pose: 0.974405 2023/08/10 02:45:56 - mmengine - INFO - Epoch(train) [205][130/327] lr: 5.000000e-06 eta: 0:10:40 time: 0.362936 data_time: 0.035115 memory: 4563 loss: 0.000391 loss_kpt: 0.000391 acc_pose: 0.939614 2023/08/10 02:46:00 - mmengine - INFO - Epoch(train) [205][140/327] lr: 5.000000e-06 eta: 0:10:36 time: 0.360121 data_time: 0.034281 memory: 4563 loss: 0.000394 loss_kpt: 0.000394 acc_pose: 0.980000 2023/08/10 02:46:04 - mmengine - INFO - Epoch(train) [205][150/327] lr: 5.000000e-06 eta: 0:10:33 time: 0.363577 data_time: 0.036269 memory: 4563 loss: 0.000392 loss_kpt: 0.000392 acc_pose: 0.972197 2023/08/10 02:46:07 - mmengine - INFO - Epoch(train) [205][160/327] lr: 5.000000e-06 eta: 0:10:29 time: 0.370624 data_time: 0.035296 memory: 4563 loss: 0.000404 loss_kpt: 0.000404 acc_pose: 0.983046 2023/08/10 02:46:11 - mmengine - INFO - Epoch(train) [205][170/327] lr: 5.000000e-06 eta: 0:10:26 time: 0.369614 data_time: 0.033978 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.967742 2023/08/10 02:46:15 - mmengine - INFO - Epoch(train) [205][180/327] lr: 5.000000e-06 eta: 0:10:22 time: 0.375517 data_time: 0.033747 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.992188 2023/08/10 02:46:19 - mmengine - INFO - Epoch(train) [205][190/327] lr: 5.000000e-06 eta: 0:10:19 time: 0.378388 data_time: 0.033884 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.975269 2023/08/10 02:46:22 - mmengine - INFO - Epoch(train) [205][200/327] lr: 5.000000e-06 eta: 0:10:15 time: 0.371176 data_time: 0.031195 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.915687 2023/08/10 02:46:26 - mmengine - INFO - Epoch(train) [205][210/327] lr: 5.000000e-06 eta: 0:10:12 time: 0.367536 data_time: 0.031575 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.951253 2023/08/10 02:46:29 - mmengine - INFO - Epoch(train) [205][220/327] lr: 5.000000e-06 eta: 0:10:08 time: 0.361811 data_time: 0.032002 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.992188 2023/08/10 02:46:33 - mmengine - INFO - Epoch(train) [205][230/327] lr: 5.000000e-06 eta: 0:10:05 time: 0.355624 data_time: 0.032022 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.964571 2023/08/10 02:46:36 - mmengine - INFO - Epoch(train) [205][240/327] lr: 5.000000e-06 eta: 0:10:01 time: 0.353290 data_time: 0.031581 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.945901 2023/08/10 02:46:40 - mmengine - INFO - Epoch(train) [205][250/327] lr: 5.000000e-06 eta: 0:09:58 time: 0.353651 data_time: 0.031664 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.958683 2023/08/10 02:46:43 - mmengine - INFO - Epoch(train) [205][260/327] lr: 5.000000e-06 eta: 0:09:54 time: 0.351817 data_time: 0.031419 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.973987 2023/08/10 02:46:47 - mmengine - INFO - Epoch(train) [205][270/327] lr: 5.000000e-06 eta: 0:09:51 time: 0.351703 data_time: 0.031614 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.940112 2023/08/10 02:46:50 - mmengine - INFO - Epoch(train) [205][280/327] lr: 5.000000e-06 eta: 0:09:47 time: 0.349413 data_time: 0.031125 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.943376 2023/08/10 02:46:54 - mmengine - INFO - Epoch(train) [205][290/327] lr: 5.000000e-06 eta: 0:09:44 time: 0.346220 data_time: 0.031221 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.966935 2023/08/10 02:46:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:46:57 - mmengine - INFO - Epoch(train) [205][300/327] lr: 5.000000e-06 eta: 0:09:40 time: 0.346933 data_time: 0.030657 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.965805 2023/08/10 02:47:01 - mmengine - INFO - Epoch(train) [205][310/327] lr: 5.000000e-06 eta: 0:09:37 time: 0.346944 data_time: 0.030795 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.955263 2023/08/10 02:47:04 - mmengine - INFO - Epoch(train) [205][320/327] lr: 5.000000e-06 eta: 0:09:33 time: 0.348755 data_time: 0.030898 memory: 4563 loss: 0.000409 loss_kpt: 0.000409 acc_pose: 0.956379 2023/08/10 02:47:07 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:47:11 - mmengine - INFO - Epoch(train) [206][ 10/327] lr: 5.000000e-06 eta: 0:09:27 time: 0.355020 data_time: 0.035258 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.948810 2023/08/10 02:47:14 - mmengine - INFO - Epoch(train) [206][ 20/327] lr: 5.000000e-06 eta: 0:09:24 time: 0.355985 data_time: 0.035410 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.963148 2023/08/10 02:47:17 - mmengine - INFO - Epoch(train) [206][ 30/327] lr: 5.000000e-06 eta: 0:09:20 time: 0.353694 data_time: 0.035757 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.964881 2023/08/10 02:47:21 - mmengine - INFO - Epoch(train) [206][ 40/327] lr: 5.000000e-06 eta: 0:09:17 time: 0.350970 data_time: 0.035243 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.885149 2023/08/10 02:47:24 - mmengine - INFO - Epoch(train) [206][ 50/327] lr: 5.000000e-06 eta: 0:09:13 time: 0.351696 data_time: 0.036140 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.983333 2023/08/10 02:47:28 - mmengine - INFO - Epoch(train) [206][ 60/327] lr: 5.000000e-06 eta: 0:09:10 time: 0.344725 data_time: 0.031467 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.955907 2023/08/10 02:47:31 - mmengine - INFO - Epoch(train) [206][ 70/327] lr: 5.000000e-06 eta: 0:09:06 time: 0.342926 data_time: 0.031407 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.944750 2023/08/10 02:47:35 - mmengine - INFO - Epoch(train) [206][ 80/327] lr: 5.000000e-06 eta: 0:09:03 time: 0.349245 data_time: 0.032155 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.963602 2023/08/10 02:47:38 - mmengine - INFO - Epoch(train) [206][ 90/327] lr: 5.000000e-06 eta: 0:08:59 time: 0.351153 data_time: 0.032843 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.982572 2023/08/10 02:47:42 - mmengine - INFO - Epoch(train) [206][100/327] lr: 5.000000e-06 eta: 0:08:56 time: 0.350043 data_time: 0.032612 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.964523 2023/08/10 02:47:45 - mmengine - INFO - Epoch(train) [206][110/327] lr: 5.000000e-06 eta: 0:08:53 time: 0.351988 data_time: 0.032385 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.965435 2023/08/10 02:47:49 - mmengine - INFO - Epoch(train) [206][120/327] lr: 5.000000e-06 eta: 0:08:49 time: 0.351625 data_time: 0.032397 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.976562 2023/08/10 02:47:53 - mmengine - INFO - Epoch(train) [206][130/327] lr: 5.000000e-06 eta: 0:08:46 time: 0.352446 data_time: 0.031812 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.918116 2023/08/10 02:47:56 - mmengine - INFO - Epoch(train) [206][140/327] lr: 5.000000e-06 eta: 0:08:42 time: 0.351451 data_time: 0.031272 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 1.000000 2023/08/10 02:48:00 - mmengine - INFO - Epoch(train) [206][150/327] lr: 5.000000e-06 eta: 0:08:39 time: 0.356904 data_time: 0.031560 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.946379 2023/08/10 02:48:03 - mmengine - INFO - Epoch(train) [206][160/327] lr: 5.000000e-06 eta: 0:08:35 time: 0.356384 data_time: 0.032021 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.958257 2023/08/10 02:48:07 - mmengine - INFO - Epoch(train) [206][170/327] lr: 5.000000e-06 eta: 0:08:32 time: 0.355743 data_time: 0.032247 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.957759 2023/08/10 02:48:10 - mmengine - INFO - Epoch(train) [206][180/327] lr: 5.000000e-06 eta: 0:08:28 time: 0.348094 data_time: 0.031793 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.956020 2023/08/10 02:48:13 - mmengine - INFO - Epoch(train) [206][190/327] lr: 5.000000e-06 eta: 0:08:25 time: 0.348117 data_time: 0.031597 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.974713 2023/08/10 02:48:17 - mmengine - INFO - Epoch(train) [206][200/327] lr: 5.000000e-06 eta: 0:08:21 time: 0.344549 data_time: 0.031757 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.938093 2023/08/10 02:48:20 - mmengine - INFO - Epoch(train) [206][210/327] lr: 5.000000e-06 eta: 0:08:18 time: 0.343631 data_time: 0.031613 memory: 4563 loss: 0.000439 loss_kpt: 0.000439 acc_pose: 0.965209 2023/08/10 02:48:24 - mmengine - INFO - Epoch(train) [206][220/327] lr: 5.000000e-06 eta: 0:08:14 time: 0.344755 data_time: 0.031721 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.965189 2023/08/10 02:48:27 - mmengine - INFO - Epoch(train) [206][230/327] lr: 5.000000e-06 eta: 0:08:11 time: 0.347786 data_time: 0.031885 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.922851 2023/08/10 02:48:31 - mmengine - INFO - Epoch(train) [206][240/327] lr: 5.000000e-06 eta: 0:08:07 time: 0.346979 data_time: 0.032092 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.965805 2023/08/10 02:48:34 - mmengine - INFO - Epoch(train) [206][250/327] lr: 5.000000e-06 eta: 0:08:04 time: 0.345359 data_time: 0.031579 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.948185 2023/08/10 02:48:38 - mmengine - INFO - Epoch(train) [206][260/327] lr: 5.000000e-06 eta: 0:08:00 time: 0.346346 data_time: 0.032241 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.954365 2023/08/10 02:48:41 - mmengine - INFO - Epoch(train) [206][270/327] lr: 5.000000e-06 eta: 0:07:57 time: 0.351543 data_time: 0.033260 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.973333 2023/08/10 02:48:45 - mmengine - INFO - Epoch(train) [206][280/327] lr: 5.000000e-06 eta: 0:07:53 time: 0.353633 data_time: 0.033971 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.982738 2023/08/10 02:48:49 - mmengine - INFO - Epoch(train) [206][290/327] lr: 5.000000e-06 eta: 0:07:50 time: 0.354905 data_time: 0.034280 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.911984 2023/08/10 02:48:52 - mmengine - INFO - Epoch(train) [206][300/327] lr: 5.000000e-06 eta: 0:07:46 time: 0.355208 data_time: 0.034311 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.958735 2023/08/10 02:48:55 - mmengine - INFO - Epoch(train) [206][310/327] lr: 5.000000e-06 eta: 0:07:43 time: 0.353665 data_time: 0.033195 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.975250 2023/08/10 02:48:59 - mmengine - INFO - Epoch(train) [206][320/327] lr: 5.000000e-06 eta: 0:07:39 time: 0.346739 data_time: 0.031854 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.966935 2023/08/10 02:49:01 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:49:05 - mmengine - INFO - Epoch(train) [207][ 10/327] lr: 5.000000e-06 eta: 0:07:33 time: 0.347906 data_time: 0.034857 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.927433 2023/08/10 02:49:08 - mmengine - INFO - Epoch(train) [207][ 20/327] lr: 5.000000e-06 eta: 0:07:30 time: 0.347252 data_time: 0.035223 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.940685 2023/08/10 02:49:12 - mmengine - INFO - Epoch(train) [207][ 30/327] lr: 5.000000e-06 eta: 0:07:26 time: 0.349553 data_time: 0.035529 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.932759 2023/08/10 02:49:15 - mmengine - INFO - Epoch(train) [207][ 40/327] lr: 5.000000e-06 eta: 0:07:23 time: 0.347917 data_time: 0.035451 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.958854 2023/08/10 02:49:19 - mmengine - INFO - Epoch(train) [207][ 50/327] lr: 5.000000e-06 eta: 0:07:19 time: 0.344727 data_time: 0.035443 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.947884 2023/08/10 02:49:22 - mmengine - INFO - Epoch(train) [207][ 60/327] lr: 5.000000e-06 eta: 0:07:16 time: 0.339711 data_time: 0.030945 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.964901 2023/08/10 02:49:25 - mmengine - INFO - Epoch(train) [207][ 70/327] lr: 5.000000e-06 eta: 0:07:12 time: 0.339751 data_time: 0.030596 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.929365 2023/08/10 02:49:29 - mmengine - INFO - Epoch(train) [207][ 80/327] lr: 5.000000e-06 eta: 0:07:09 time: 0.336803 data_time: 0.030738 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.966053 2023/08/10 02:49:32 - mmengine - INFO - Epoch(train) [207][ 90/327] lr: 5.000000e-06 eta: 0:07:05 time: 0.339866 data_time: 0.031295 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.982451 2023/08/10 02:49:36 - mmengine - INFO - Epoch(train) [207][100/327] lr: 5.000000e-06 eta: 0:07:02 time: 0.340537 data_time: 0.032124 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.950000 2023/08/10 02:49:39 - mmengine - INFO - Epoch(train) [207][110/327] lr: 5.000000e-06 eta: 0:06:58 time: 0.339986 data_time: 0.032029 memory: 4563 loss: 0.000412 loss_kpt: 0.000412 acc_pose: 0.929187 2023/08/10 02:49:42 - mmengine - INFO - Epoch(train) [207][120/327] lr: 5.000000e-06 eta: 0:06:55 time: 0.339310 data_time: 0.032557 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.932639 2023/08/10 02:49:46 - mmengine - INFO - Epoch(train) [207][130/327] lr: 5.000000e-06 eta: 0:06:51 time: 0.337438 data_time: 0.032167 memory: 4563 loss: 0.000407 loss_kpt: 0.000407 acc_pose: 0.966935 2023/08/10 02:49:49 - mmengine - INFO - Epoch(train) [207][140/327] lr: 5.000000e-06 eta: 0:06:48 time: 0.334290 data_time: 0.031516 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.974713 2023/08/10 02:49:53 - mmengine - INFO - Epoch(train) [207][150/327] lr: 5.000000e-06 eta: 0:06:44 time: 0.338208 data_time: 0.031048 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.947342 2023/08/10 02:49:56 - mmengine - INFO - Epoch(train) [207][160/327] lr: 5.000000e-06 eta: 0:06:41 time: 0.342904 data_time: 0.031501 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.930101 2023/08/10 02:50:00 - mmengine - INFO - Epoch(train) [207][170/327] lr: 5.000000e-06 eta: 0:06:37 time: 0.343958 data_time: 0.031015 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.965517 2023/08/10 02:50:03 - mmengine - INFO - Epoch(train) [207][180/327] lr: 5.000000e-06 eta: 0:06:34 time: 0.346299 data_time: 0.031052 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.981812 2023/08/10 02:50:06 - mmengine - INFO - Epoch(train) [207][190/327] lr: 5.000000e-06 eta: 0:06:30 time: 0.346072 data_time: 0.031110 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.973123 2023/08/10 02:50:10 - mmengine - INFO - Epoch(train) [207][200/327] lr: 5.000000e-06 eta: 0:06:27 time: 0.340637 data_time: 0.030949 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.982759 2023/08/10 02:50:13 - mmengine - INFO - Epoch(train) [207][210/327] lr: 5.000000e-06 eta: 0:06:23 time: 0.335713 data_time: 0.030412 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.873204 2023/08/10 02:50:16 - mmengine - INFO - Epoch(train) [207][220/327] lr: 5.000000e-06 eta: 0:06:20 time: 0.335861 data_time: 0.030694 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.947533 2023/08/10 02:50:20 - mmengine - INFO - Epoch(train) [207][230/327] lr: 5.000000e-06 eta: 0:06:16 time: 0.335994 data_time: 0.030918 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.956856 2023/08/10 02:50:23 - mmengine - INFO - Epoch(train) [207][240/327] lr: 5.000000e-06 eta: 0:06:13 time: 0.339444 data_time: 0.032291 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.930622 2023/08/10 02:50:27 - mmengine - INFO - Epoch(train) [207][250/327] lr: 5.000000e-06 eta: 0:06:09 time: 0.341282 data_time: 0.032363 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.948667 2023/08/10 02:50:30 - mmengine - INFO - Epoch(train) [207][260/327] lr: 5.000000e-06 eta: 0:06:06 time: 0.344979 data_time: 0.032882 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.964240 2023/08/10 02:50:34 - mmengine - INFO - Epoch(train) [207][270/327] lr: 5.000000e-06 eta: 0:06:02 time: 0.348145 data_time: 0.033066 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.974405 2023/08/10 02:50:37 - mmengine - INFO - Epoch(train) [207][280/327] lr: 5.000000e-06 eta: 0:05:59 time: 0.349264 data_time: 0.033542 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.914702 2023/08/10 02:50:41 - mmengine - INFO - Epoch(train) [207][290/327] lr: 5.000000e-06 eta: 0:05:55 time: 0.349195 data_time: 0.032710 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.991379 2023/08/10 02:50:44 - mmengine - INFO - Epoch(train) [207][300/327] lr: 5.000000e-06 eta: 0:05:52 time: 0.349755 data_time: 0.032707 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.964901 2023/08/10 02:50:48 - mmengine - INFO - Epoch(train) [207][310/327] lr: 5.000000e-06 eta: 0:05:48 time: 0.351875 data_time: 0.033031 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.991935 2023/08/10 02:50:51 - mmengine - INFO - Epoch(train) [207][320/327] lr: 5.000000e-06 eta: 0:05:45 time: 0.349043 data_time: 0.032663 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.919885 2023/08/10 02:50:54 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:50:57 - mmengine - INFO - Epoch(train) [208][ 10/327] lr: 5.000000e-06 eta: 0:05:39 time: 0.351207 data_time: 0.035735 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.975754 2023/08/10 02:51:01 - mmengine - INFO - Epoch(train) [208][ 20/327] lr: 5.000000e-06 eta: 0:05:35 time: 0.352053 data_time: 0.035903 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.973499 2023/08/10 02:51:04 - mmengine - INFO - Epoch(train) [208][ 30/327] lr: 5.000000e-06 eta: 0:05:32 time: 0.348631 data_time: 0.035513 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.925211 2023/08/10 02:51:08 - mmengine - INFO - Epoch(train) [208][ 40/327] lr: 5.000000e-06 eta: 0:05:28 time: 0.348499 data_time: 0.035302 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.949074 2023/08/10 02:51:11 - mmengine - INFO - Epoch(train) [208][ 50/327] lr: 5.000000e-06 eta: 0:05:25 time: 0.351969 data_time: 0.035973 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.948563 2023/08/10 02:51:15 - mmengine - INFO - Epoch(train) [208][ 60/327] lr: 5.000000e-06 eta: 0:05:21 time: 0.347260 data_time: 0.031992 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.942759 2023/08/10 02:51:18 - mmengine - INFO - Epoch(train) [208][ 70/327] lr: 5.000000e-06 eta: 0:05:18 time: 0.348902 data_time: 0.031905 memory: 4563 loss: 0.000432 loss_kpt: 0.000432 acc_pose: 0.898377 2023/08/10 02:51:22 - mmengine - INFO - Epoch(train) [208][ 80/327] lr: 5.000000e-06 eta: 0:05:14 time: 0.348291 data_time: 0.031933 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.880090 2023/08/10 02:51:25 - mmengine - INFO - Epoch(train) [208][ 90/327] lr: 5.000000e-06 eta: 0:05:11 time: 0.353478 data_time: 0.032019 memory: 4563 loss: 0.000438 loss_kpt: 0.000438 acc_pose: 0.912126 2023/08/10 02:51:29 - mmengine - INFO - Epoch(train) [208][100/327] lr: 5.000000e-06 eta: 0:05:07 time: 0.354673 data_time: 0.032565 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.899108 2023/08/10 02:51:33 - mmengine - INFO - Epoch(train) [208][110/327] lr: 5.000000e-06 eta: 0:05:04 time: 0.357873 data_time: 0.032104 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.933094 2023/08/10 02:51:36 - mmengine - INFO - Epoch(train) [208][120/327] lr: 5.000000e-06 eta: 0:05:00 time: 0.362862 data_time: 0.032093 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.966071 2023/08/10 02:51:40 - mmengine - INFO - Epoch(train) [208][130/327] lr: 5.000000e-06 eta: 0:04:57 time: 0.368900 data_time: 0.031827 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.941379 2023/08/10 02:51:44 - mmengine - INFO - Epoch(train) [208][140/327] lr: 5.000000e-06 eta: 0:04:53 time: 0.363743 data_time: 0.031636 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.957988 2023/08/10 02:51:47 - mmengine - INFO - Epoch(train) [208][150/327] lr: 5.000000e-06 eta: 0:04:50 time: 0.361040 data_time: 0.030769 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.907825 2023/08/10 02:51:51 - mmengine - INFO - Epoch(train) [208][160/327] lr: 5.000000e-06 eta: 0:04:46 time: 0.360106 data_time: 0.033773 memory: 4563 loss: 0.000443 loss_kpt: 0.000443 acc_pose: 0.959409 2023/08/10 02:51:54 - mmengine - INFO - Epoch(train) [208][170/327] lr: 5.000000e-06 eta: 0:04:43 time: 0.353965 data_time: 0.033881 memory: 4563 loss: 0.000440 loss_kpt: 0.000440 acc_pose: 0.836998 2023/08/10 02:51:58 - mmengine - INFO - Epoch(train) [208][180/327] lr: 5.000000e-06 eta: 0:04:39 time: 0.353188 data_time: 0.033945 memory: 4563 loss: 0.000436 loss_kpt: 0.000436 acc_pose: 0.958027 2023/08/10 02:52:01 - mmengine - INFO - Epoch(train) [208][190/327] lr: 5.000000e-06 eta: 0:04:36 time: 0.357896 data_time: 0.034235 memory: 4563 loss: 0.000434 loss_kpt: 0.000434 acc_pose: 0.957325 2023/08/10 02:52:05 - mmengine - INFO - Epoch(train) [208][200/327] lr: 5.000000e-06 eta: 0:04:32 time: 0.366652 data_time: 0.034916 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.966667 2023/08/10 02:52:09 - mmengine - INFO - Epoch(train) [208][210/327] lr: 5.000000e-06 eta: 0:04:29 time: 0.370304 data_time: 0.032296 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.921928 2023/08/10 02:52:13 - mmengine - INFO - Epoch(train) [208][220/327] lr: 5.000000e-06 eta: 0:04:25 time: 0.369075 data_time: 0.032510 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.975000 2023/08/10 02:52:16 - mmengine - INFO - Epoch(train) [208][230/327] lr: 5.000000e-06 eta: 0:04:22 time: 0.366805 data_time: 0.032738 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.990741 2023/08/10 02:52:20 - mmengine - INFO - Epoch(train) [208][240/327] lr: 5.000000e-06 eta: 0:04:18 time: 0.365645 data_time: 0.032838 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.960997 2023/08/10 02:52:23 - mmengine - INFO - Epoch(train) [208][250/327] lr: 5.000000e-06 eta: 0:04:15 time: 0.357907 data_time: 0.032845 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.956589 2023/08/10 02:52:27 - mmengine - INFO - Epoch(train) [208][260/327] lr: 5.000000e-06 eta: 0:04:11 time: 0.350014 data_time: 0.032307 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.921065 2023/08/10 02:52:30 - mmengine - INFO - Epoch(train) [208][270/327] lr: 5.000000e-06 eta: 0:04:08 time: 0.350711 data_time: 0.032237 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.957759 2023/08/10 02:52:34 - mmengine - INFO - Epoch(train) [208][280/327] lr: 5.000000e-06 eta: 0:04:05 time: 0.347735 data_time: 0.032702 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.934677 2023/08/10 02:52:37 - mmengine - INFO - Epoch(train) [208][290/327] lr: 5.000000e-06 eta: 0:04:01 time: 0.344422 data_time: 0.033393 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.929780 2023/08/10 02:52:40 - mmengine - INFO - Epoch(train) [208][300/327] lr: 5.000000e-06 eta: 0:03:58 time: 0.343618 data_time: 0.033262 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 1.000000 2023/08/10 02:52:44 - mmengine - INFO - Epoch(train) [208][310/327] lr: 5.000000e-06 eta: 0:03:54 time: 0.344474 data_time: 0.033613 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.953297 2023/08/10 02:52:44 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:52:47 - mmengine - INFO - Epoch(train) [208][320/327] lr: 5.000000e-06 eta: 0:03:51 time: 0.347179 data_time: 0.033778 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.925538 2023/08/10 02:52:50 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:52:53 - mmengine - INFO - Epoch(train) [209][ 10/327] lr: 5.000000e-06 eta: 0:03:45 time: 0.349545 data_time: 0.038337 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.981456 2023/08/10 02:52:57 - mmengine - INFO - Epoch(train) [209][ 20/327] lr: 5.000000e-06 eta: 0:03:41 time: 0.347052 data_time: 0.037900 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.916898 2023/08/10 02:53:00 - mmengine - INFO - Epoch(train) [209][ 30/327] lr: 5.000000e-06 eta: 0:03:38 time: 0.345635 data_time: 0.037619 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.991379 2023/08/10 02:53:04 - mmengine - INFO - Epoch(train) [209][ 40/327] lr: 5.000000e-06 eta: 0:03:34 time: 0.344459 data_time: 0.037081 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.958009 2023/08/10 02:53:07 - mmengine - INFO - Epoch(train) [209][ 50/327] lr: 5.000000e-06 eta: 0:03:31 time: 0.344365 data_time: 0.037479 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.925538 2023/08/10 02:53:10 - mmengine - INFO - Epoch(train) [209][ 60/327] lr: 5.000000e-06 eta: 0:03:27 time: 0.338908 data_time: 0.030917 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.973191 2023/08/10 02:53:14 - mmengine - INFO - Epoch(train) [209][ 70/327] lr: 5.000000e-06 eta: 0:03:24 time: 0.338219 data_time: 0.030636 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.951630 2023/08/10 02:53:17 - mmengine - INFO - Epoch(train) [209][ 80/327] lr: 5.000000e-06 eta: 0:03:20 time: 0.337268 data_time: 0.030606 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.972197 2023/08/10 02:53:20 - mmengine - INFO - Epoch(train) [209][ 90/327] lr: 5.000000e-06 eta: 0:03:17 time: 0.333893 data_time: 0.030837 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.983602 2023/08/10 02:53:24 - mmengine - INFO - Epoch(train) [209][100/327] lr: 5.000000e-06 eta: 0:03:13 time: 0.332690 data_time: 0.031018 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.973522 2023/08/10 02:53:27 - mmengine - INFO - Epoch(train) [209][110/327] lr: 5.000000e-06 eta: 0:03:10 time: 0.335088 data_time: 0.031527 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.952966 2023/08/10 02:53:31 - mmengine - INFO - Epoch(train) [209][120/327] lr: 5.000000e-06 eta: 0:03:06 time: 0.343691 data_time: 0.032700 memory: 4563 loss: 0.000418 loss_kpt: 0.000418 acc_pose: 0.958009 2023/08/10 02:53:34 - mmengine - INFO - Epoch(train) [209][130/327] lr: 5.000000e-06 eta: 0:03:03 time: 0.346133 data_time: 0.032972 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.991071 2023/08/10 02:53:38 - mmengine - INFO - Epoch(train) [209][140/327] lr: 5.000000e-06 eta: 0:02:59 time: 0.350062 data_time: 0.032657 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.949347 2023/08/10 02:53:41 - mmengine - INFO - Epoch(train) [209][150/327] lr: 5.000000e-06 eta: 0:02:56 time: 0.352727 data_time: 0.032353 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.973191 2023/08/10 02:53:45 - mmengine - INFO - Epoch(train) [209][160/327] lr: 5.000000e-06 eta: 0:02:52 time: 0.349157 data_time: 0.031773 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.911814 2023/08/10 02:53:48 - mmengine - INFO - Epoch(train) [209][170/327] lr: 5.000000e-06 eta: 0:02:49 time: 0.341665 data_time: 0.030864 memory: 4563 loss: 0.000437 loss_kpt: 0.000437 acc_pose: 0.955769 2023/08/10 02:53:52 - mmengine - INFO - Epoch(train) [209][180/327] lr: 5.000000e-06 eta: 0:02:45 time: 0.344739 data_time: 0.031868 memory: 4563 loss: 0.000435 loss_kpt: 0.000435 acc_pose: 0.926509 2023/08/10 02:53:55 - mmengine - INFO - Epoch(train) [209][190/327] lr: 5.000000e-06 eta: 0:02:42 time: 0.343024 data_time: 0.032116 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.991379 2023/08/10 02:53:59 - mmengine - INFO - Epoch(train) [209][200/327] lr: 5.000000e-06 eta: 0:02:38 time: 0.344082 data_time: 0.032466 memory: 4563 loss: 0.000427 loss_kpt: 0.000427 acc_pose: 0.932434 2023/08/10 02:54:02 - mmengine - INFO - Epoch(train) [209][210/327] lr: 5.000000e-06 eta: 0:02:35 time: 0.345705 data_time: 0.032606 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.955619 2023/08/10 02:54:05 - mmengine - INFO - Epoch(train) [209][220/327] lr: 5.000000e-06 eta: 0:02:31 time: 0.346608 data_time: 0.032928 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.899872 2023/08/10 02:54:09 - mmengine - INFO - Epoch(train) [209][230/327] lr: 5.000000e-06 eta: 0:02:28 time: 0.343642 data_time: 0.031984 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.911240 2023/08/10 02:54:12 - mmengine - INFO - Epoch(train) [209][240/327] lr: 5.000000e-06 eta: 0:02:24 time: 0.344581 data_time: 0.032204 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.965710 2023/08/10 02:54:16 - mmengine - INFO - Epoch(train) [209][250/327] lr: 5.000000e-06 eta: 0:02:21 time: 0.346911 data_time: 0.032833 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.949713 2023/08/10 02:54:19 - mmengine - INFO - Epoch(train) [209][260/327] lr: 5.000000e-06 eta: 0:02:17 time: 0.348589 data_time: 0.033036 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.914835 2023/08/10 02:54:23 - mmengine - INFO - Epoch(train) [209][270/327] lr: 5.000000e-06 eta: 0:02:14 time: 0.353113 data_time: 0.033263 memory: 4563 loss: 0.000408 loss_kpt: 0.000408 acc_pose: 0.956221 2023/08/10 02:54:27 - mmengine - INFO - Epoch(train) [209][280/327] lr: 5.000000e-06 eta: 0:02:10 time: 0.355194 data_time: 0.033562 memory: 4563 loss: 0.000402 loss_kpt: 0.000402 acc_pose: 0.949713 2023/08/10 02:54:30 - mmengine - INFO - Epoch(train) [209][290/327] lr: 5.000000e-06 eta: 0:02:07 time: 0.353695 data_time: 0.033132 memory: 4563 loss: 0.000405 loss_kpt: 0.000405 acc_pose: 0.917347 2023/08/10 02:54:33 - mmengine - INFO - Epoch(train) [209][300/327] lr: 5.000000e-06 eta: 0:02:03 time: 0.349543 data_time: 0.032420 memory: 4563 loss: 0.000406 loss_kpt: 0.000406 acc_pose: 0.941379 2023/08/10 02:54:37 - mmengine - INFO - Epoch(train) [209][310/327] lr: 5.000000e-06 eta: 0:02:00 time: 0.351477 data_time: 0.032835 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.921371 2023/08/10 02:54:41 - mmengine - INFO - Epoch(train) [209][320/327] lr: 5.000000e-06 eta: 0:01:56 time: 0.351699 data_time: 0.032470 memory: 4563 loss: 0.000414 loss_kpt: 0.000414 acc_pose: 0.930167 2023/08/10 02:54:43 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:54:47 - mmengine - INFO - Epoch(train) [210][ 10/327] lr: 5.000000e-06 eta: 0:01:50 time: 0.358153 data_time: 0.039247 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.876628 2023/08/10 02:54:50 - mmengine - INFO - Epoch(train) [210][ 20/327] lr: 5.000000e-06 eta: 0:01:47 time: 0.360388 data_time: 0.039344 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.944394 2023/08/10 02:54:54 - mmengine - INFO - Epoch(train) [210][ 30/327] lr: 5.000000e-06 eta: 0:01:43 time: 0.362100 data_time: 0.039160 memory: 4563 loss: 0.000431 loss_kpt: 0.000431 acc_pose: 0.933046 2023/08/10 02:54:57 - mmengine - INFO - Epoch(train) [210][ 40/327] lr: 5.000000e-06 eta: 0:01:40 time: 0.359174 data_time: 0.038233 memory: 4563 loss: 0.000423 loss_kpt: 0.000423 acc_pose: 0.957051 2023/08/10 02:55:01 - mmengine - INFO - Epoch(train) [210][ 50/327] lr: 5.000000e-06 eta: 0:01:36 time: 0.354490 data_time: 0.034979 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.973479 2023/08/10 02:55:04 - mmengine - INFO - Epoch(train) [210][ 60/327] lr: 5.000000e-06 eta: 0:01:33 time: 0.352757 data_time: 0.031455 memory: 4563 loss: 0.000419 loss_kpt: 0.000419 acc_pose: 0.973499 2023/08/10 02:55:08 - mmengine - INFO - Epoch(train) [210][ 70/327] lr: 5.000000e-06 eta: 0:01:29 time: 0.352132 data_time: 0.031589 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.958871 2023/08/10 02:55:11 - mmengine - INFO - Epoch(train) [210][ 80/327] lr: 5.000000e-06 eta: 0:01:26 time: 0.348211 data_time: 0.031555 memory: 4563 loss: 0.000425 loss_kpt: 0.000425 acc_pose: 0.954599 2023/08/10 02:55:15 - mmengine - INFO - Epoch(train) [210][ 90/327] lr: 5.000000e-06 eta: 0:01:22 time: 0.346059 data_time: 0.031558 memory: 4563 loss: 0.000429 loss_kpt: 0.000429 acc_pose: 0.990000 2023/08/10 02:55:18 - mmengine - INFO - Epoch(train) [210][100/327] lr: 5.000000e-06 eta: 0:01:19 time: 0.344404 data_time: 0.031168 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.910977 2023/08/10 02:55:22 - mmengine - INFO - Epoch(train) [210][110/327] lr: 5.000000e-06 eta: 0:01:15 time: 0.341606 data_time: 0.030864 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.940385 2023/08/10 02:55:25 - mmengine - INFO - Epoch(train) [210][120/327] lr: 5.000000e-06 eta: 0:01:12 time: 0.340049 data_time: 0.030429 memory: 4563 loss: 0.000407 loss_kpt: 0.000407 acc_pose: 0.975538 2023/08/10 02:55:29 - mmengine - INFO - Epoch(train) [210][130/327] lr: 5.000000e-06 eta: 0:01:08 time: 0.341828 data_time: 0.030977 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.959392 2023/08/10 02:55:32 - mmengine - INFO - Epoch(train) [210][140/327] lr: 5.000000e-06 eta: 0:01:05 time: 0.343020 data_time: 0.031076 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.974078 2023/08/10 02:55:35 - mmengine - INFO - Epoch(train) [210][150/327] lr: 5.000000e-06 eta: 0:01:01 time: 0.345165 data_time: 0.031374 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 0.944750 2023/08/10 02:55:39 - mmengine - INFO - Epoch(train) [210][160/327] lr: 5.000000e-06 eta: 0:00:58 time: 0.349919 data_time: 0.031350 memory: 4563 loss: 0.000416 loss_kpt: 0.000416 acc_pose: 1.000000 2023/08/10 02:55:43 - mmengine - INFO - Epoch(train) [210][170/327] lr: 5.000000e-06 eta: 0:00:54 time: 0.351983 data_time: 0.031409 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.967742 2023/08/10 02:55:46 - mmengine - INFO - Epoch(train) [210][180/327] lr: 5.000000e-06 eta: 0:00:51 time: 0.350322 data_time: 0.031141 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.944157 2023/08/10 02:55:50 - mmengine - INFO - Epoch(train) [210][190/327] lr: 5.000000e-06 eta: 0:00:47 time: 0.351489 data_time: 0.031294 memory: 4563 loss: 0.000424 loss_kpt: 0.000424 acc_pose: 0.955534 2023/08/10 02:55:53 - mmengine - INFO - Epoch(train) [210][200/327] lr: 5.000000e-06 eta: 0:00:44 time: 0.353997 data_time: 0.032150 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.983871 2023/08/10 02:55:57 - mmengine - INFO - Epoch(train) [210][210/327] lr: 5.000000e-06 eta: 0:00:40 time: 0.354529 data_time: 0.032414 memory: 4563 loss: 0.000426 loss_kpt: 0.000426 acc_pose: 0.982738 2023/08/10 02:56:00 - mmengine - INFO - Epoch(train) [210][220/327] lr: 5.000000e-06 eta: 0:00:37 time: 0.355974 data_time: 0.033136 memory: 4563 loss: 0.000422 loss_kpt: 0.000422 acc_pose: 0.950754 2023/08/10 02:56:04 - mmengine - INFO - Epoch(train) [210][230/327] lr: 5.000000e-06 eta: 0:00:33 time: 0.358185 data_time: 0.033380 memory: 4563 loss: 0.000417 loss_kpt: 0.000417 acc_pose: 0.975790 2023/08/10 02:56:07 - mmengine - INFO - Epoch(train) [210][240/327] lr: 5.000000e-06 eta: 0:00:30 time: 0.356104 data_time: 0.033185 memory: 4563 loss: 0.000420 loss_kpt: 0.000420 acc_pose: 0.928813 2023/08/10 02:56:11 - mmengine - INFO - Epoch(train) [210][250/327] lr: 5.000000e-06 eta: 0:00:26 time: 0.351788 data_time: 0.032062 memory: 4563 loss: 0.000433 loss_kpt: 0.000433 acc_pose: 0.930233 2023/08/10 02:56:14 - mmengine - INFO - Epoch(train) [210][260/327] lr: 5.000000e-06 eta: 0:00:23 time: 0.347959 data_time: 0.031957 memory: 4563 loss: 0.000428 loss_kpt: 0.000428 acc_pose: 0.962821 2023/08/10 02:56:18 - mmengine - INFO - Epoch(train) [210][270/327] lr: 5.000000e-06 eta: 0:00:19 time: 0.346211 data_time: 0.031415 memory: 4563 loss: 0.000430 loss_kpt: 0.000430 acc_pose: 0.897660 2023/08/10 02:56:21 - mmengine - INFO - Epoch(train) [210][280/327] lr: 5.000000e-06 eta: 0:00:16 time: 0.349509 data_time: 0.031160 memory: 4563 loss: 0.000421 loss_kpt: 0.000421 acc_pose: 0.982759 2023/08/10 02:56:25 - mmengine - INFO - Epoch(train) [210][290/327] lr: 5.000000e-06 eta: 0:00:12 time: 0.349854 data_time: 0.031103 memory: 4563 loss: 0.000415 loss_kpt: 0.000415 acc_pose: 0.991071 2023/08/10 02:56:28 - mmengine - INFO - Epoch(train) [210][300/327] lr: 5.000000e-06 eta: 0:00:09 time: 0.349930 data_time: 0.031378 memory: 4563 loss: 0.000411 loss_kpt: 0.000411 acc_pose: 0.954625 2023/08/10 02:56:32 - mmengine - INFO - Epoch(train) [210][310/327] lr: 5.000000e-06 eta: 0:00:05 time: 0.351609 data_time: 0.031211 memory: 4563 loss: 0.000410 loss_kpt: 0.000410 acc_pose: 0.982759 2023/08/10 02:56:35 - mmengine - INFO - Epoch(train) [210][320/327] lr: 5.000000e-06 eta: 0:00:02 time: 0.352782 data_time: 0.032118 memory: 4563 loss: 0.000413 loss_kpt: 0.000413 acc_pose: 0.957089 2023/08/10 02:56:38 - mmengine - INFO - Exp name: td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192_20230809_200824 2023/08/10 02:56:38 - mmengine - INFO - Saving checkpoint at 210 epochs 2023/08/10 02:56:44 - mmengine - INFO - Epoch(val) [210][10/79] eta: 0:00:14 time: 0.195645 data_time: 0.013186 memory: 4563 2023/08/10 02:56:46 - mmengine - INFO - Epoch(val) [210][20/79] eta: 0:00:11 time: 0.195889 data_time: 0.013234 memory: 1634 2023/08/10 02:56:48 - mmengine - INFO - Epoch(val) [210][30/79] eta: 0:00:09 time: 0.195716 data_time: 0.013085 memory: 1634 2023/08/10 02:56:50 - mmengine - INFO - Epoch(val) [210][40/79] eta: 0:00:07 time: 0.195519 data_time: 0.012987 memory: 1634 2023/08/10 02:56:52 - mmengine - INFO - Epoch(val) [210][50/79] eta: 0:00:05 time: 0.197170 data_time: 0.012950 memory: 1634 2023/08/10 02:56:54 - mmengine - INFO - Epoch(val) [210][60/79] eta: 0:00:03 time: 0.194371 data_time: 0.010802 memory: 1634 2023/08/10 02:56:56 - mmengine - INFO - Epoch(val) [210][70/79] eta: 0:00:01 time: 0.193890 data_time: 0.010620 memory: 1634 2023/08/10 02:56:57 - mmengine - INFO - Evaluating PCKAccuracy (normalized by ``"bbox_size"``)... 2023/08/10 02:56:57 - mmengine - INFO - Evaluating AUC... 2023/08/10 02:56:58 - mmengine - INFO - Evaluating EPE... 2023/08/10 02:56:58 - mmengine - INFO - Epoch(val) [210][79/79] PCK: 0.979494 AUC: 0.759887 EPE: 8.667007 data_time: 0.011911 time: 0.193284